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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Дистанционный и геохимический мониторинг почвенно-растительного покрова объектов размещения отходов (Курская область)

Известия РАН. Серия географическая. 2019. № 5. С. 96–110.
Zamotaev I., Telnova N., Кайданова О. В., Борисочкина Т. И., Суслова С. Б.

The paper summarizes results of long-term remote sensing and geochemical monitoring of soils and
vegetation cover influenced with abandoned industrial waste dumping site at the southern periphery of
Kursk city. Analysis of prolonged image time series (1954–2018) has resulted in the reconstruction of
natural landscape pattern in study area, mapping the expansion of waste deposit area under the period
of active exploitation, delineation of five historic-functional zones of the dumping site. These zones are
featured with different age and type of technogenic transformations in landscape structure, particular
levels of heavy metals’ content and their distribution in soils and vegetation. Studies of spatial pattern
and long-term (2000–2017) changes in contamination of soils and technogenic surface formations with
heavy metals revealed that the maximum level of soil and vegetation pollution with heavy metals (Pb,
Cd, Ni, Zn, Cu, Sb) is fixed for the zone of excavation, mixing and secondary burying of industrial
wastes in 2000s. Increased concentrations of Sb and Zn still persist in surface soil layers of chernozems
outside the territory of abandoned dumping site.

Research target: Effective Natural Resource Management
Language: Russian
DOI
Text on another site
Keywords: растительностьheavy metalsтяжелые металлыanthropogenic-transformed soilstechnogenic surface formationsindustrial waste dumping sitevegetationtime series of remote sensing dataантропогенно-преобразованные почвытехногенные поверхностные образованиясвалка промышленных отходовразновременные данные дистанционного зондирования
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