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News
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.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
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.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Особенности альготестирования проб, содержащих растворенное органическое вещество

Вопросы современной альгологии. 2020. № 2(23). С. 40–45.
Федосеева Е. В., Григорьева И. Ю., Николаева О.В., Терехова В. А.

Algae tests are widely used due to the availability of cultivation conditions and high reproducibility. Freshwater and marine algae are used to estimate the toxicity of drinking, natural and wastewater, water extracts from soils, sewage sludge and production and consumption waste. The presence of dissolved organic matter in the samples, stimulating the growth of algae and the intensity of chlorophyll fluorescence, can significantly affect the result of algae tests, and therefore on the decision on the presence or absence of a toxic effect. When choosing algae as a test culture to determine toxic effects, it is necessary to take into account the possibility of hyperstimulating the number of cells with dissolved organic matter.

Research target: Earth Sciences
Language: Russian
DOI
Text on another site
Keywords: fluorescencetoxicityфлуоресценцияdissolved organic matterрастворенное органическое веществоalgotestingfreshwater and marine algaeальготестированиепресноводные и морские водорослитоксичность
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