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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Ranking Accuracy of the Efficiency Index in the Stochastic Frontier Model

Computational Mathematics and Modeling. 2022. Vol. 33. No. 3. P. 319–329.
Nikol’skii I. M., K. K. Furmanov

A stochastic frontier model is considered – a linear regression model linking the firm activity measure (e.g., the production volume of an enterprise) and the resource inputs. This model is used to determine the efficiency of decision-making units (DMUs). A series of stochastic experiments is run to determine the model’s ability to rank the DMUs by efficiency – a Spearman rank correlation coefficient and the Harrell concordance index are calculated as a function of the variance of the two error components of the regression model: a normally distributed stochastic shock and an inefficiency index with half-normal or exponential distribution.

Research target: Mathematics Economics and Management
Language: English
Full text
DOI
Keywords: ранжированиеэффективность предприятийrankingstochastic frontier modelмодель стохастической границыfirm efficiency
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