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June 4, 2026
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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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University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
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Исследование фотоотклика графена, полученного методом химического осаждения из газовой фазы

Физика и техника полупроводников. 2020. Т. 54. № 9. С. 833–840.
Бабичев А. В., Кадинская С. А., Шубина К. Ю., Васильев А. А., Blokhin S., Moiseev E., Блохин А. А., Мухин И. С., Елисеев И. А., Давыдов В. Ю., Брунков П. Н., Kryzhanovskaya N., Егоров А. Ю.

The results of experiments aimed at fabricating and studying the properties of photodetector structures based on single-layer graphene produced by chemical vapor deposition are presented. The configuration of a Ta2O5 vertical microcavity with a resonance wavelength of about 850 nm and a lower dielectric SiO2/Ta2O5 distributed Bragg reflector is taken as the base structure. The conditions for the transfer and fabrication of mesas in the graphene layer on the microcavity surface are optimized. The diagnostics by Raman spectroscopy of the structural quality of graphene after fabrication of the mesas in the graphene layer and contact pads are indicative of the single-layer structure of graphene with a low intensity of features in its spectrum, responsible for imperfection of the structure. The photocurrent is measured under local optical pumping.

Research target: Physics
Priority areas: engineering science
Language: Russian
DOI
Text on another site
Keywords: меза-структурамикрорезонаторoptical microcavityphotodetector structuresmonolayer graphenemesaфотодетекторные структурымонослойный графен
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