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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
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Об одном из вариантов изображения Тьмы в иконографии Первого дня Творения. Опыт поиска «модулей»

Вестник РГГУ. Серия: История. Филология. Культурология. Востоковедение. 2019. Т. 10. С. 54–63.
Pozhidaeva A.

The formation of the iconographical system in medieval Western
art is associated with the variation in individual details, of the composition,
including the smallest ones, what corresponds to the concept of “modules” or
“formulas of motion” introduced by F. Deuchler. The present work considers probable versions for the origins of the depicting the Darkness like a shackled
slave in the Langobardic fresco cycle of the 8th – 9th centuries in the so-called
“Crypt of the Fall” in Matera (Basilicata) as well as the connection of those
versions to early Christian and Byzantine traditions at the level of poses and
gestures of characters.

Priority areas: humanitarian
Language: Russian
Full text
DOI
Keywords: christian iconographyхристианская иконография
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