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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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Геометрический подход к филогеографическому анализу молекулярных последовательностей: главные компоненты и дендрограммы

Молекулярная биология. 2023. Т. 57. № 2. С. 178–184.
Ефимов В. М., Efimov K., Ковалева В. Ю.

Currently, the search for manifestations of selection under the influence of the environment in molecular sequences is usually carried out within closely related species or at the intraspecific level. It is believed that at high taxonomic levels this is unpromising due to phylogenetic relationship. Cytochrome b amino acid sequences of 67 rodent and lagomorph species with known geographic coordinates were digitized using the AAindex database. Based on more than 200 thousand characters, the principal components were obtained. A well-known statistical method, which has not been previously used for such problems, was used, which makes it possible to orthogonally decompose multidimensional variability into intra- and intertaxon variability and analyze them separately. The subfamily level was selected. For the second principal component (17.05% of intertaxon variability), a correlation with latitude was found (r = 0.561; n = 67; p < E-5). The clear division into two groups, revealed by the first principal component (39.48% of intertaxon variability), which does not coincide with the taxonomic one, indicates a possible physicochemical underlying cause for the differences between them. This requires further research.

Research target: Biology Mathematics
Language: Russian
DOI
Text on another site
Keywords: кластерный анализевклидовы расстоянияортогональное разложениегеографические координаты
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