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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
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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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Асимптотическое решение для SIS-модели с учётом миграции и диффузии

Известия высших учебных заведений. Прикладная нелинейная динамика. 2024. Т. 32. № 6. С. 908–920.
Рассадин А. Э.

The purpose of this work is to propose and investigate a simple and effective model of an epidemic in an animal population that takes into account migration along the plane of both diseased and healthy individuals. Within the framework of this model, the spatial migration of a population is described by introducing both diffusion and advective terms into its equations. Methods. In this paper, a method of many scales was used to find an asymptotic solution to the system of equations of the epidemic. Solutions of auxiliary linear equations of the parabolic type arising during this procedure were found using the Poisson integral. The simplification of the initial system of equations of the model is based on the assumption that the sum of densities of healthy and sick individuals on a single-connected region of large diameter on the plane is constant at the initial moment of time. Results. It is shown that in this case, designed for a slowly changing initial density of sick individuals concentrated inside this area at a considerable distance from its boundaries, the asymptotic solution of the model describes the effect of merging several spatially spaced small outbreaks of the disease into one large outbreak during migration of the entire population as a whole. In particular, for such an initial density obtained by the functional transformation of a Gaussian, a circular plateau is formed over long periods with an effective radius that grows linearly over time. Conclusion. The constructed asymptotic solution of the epidemic model proposed in this paper is simple in form and describes the transfer of the disease on a locally flat area of the earth’s surface without the use of numerical methods. This solution is convenient when describing the migration of a sick population under the influence of flooding, forest fire, man-made disaster with contamination of the area, etc.

Research target: Mathematics
Language: Russian
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Keywords: the Cauchy problemsmall parameterмалый параметр задача Кошиmoving coordinate systemslow variablesthe logistic curvethe method of variation of the constantthe Kardar-Parisi-Zhang equationthe uniformity of the asymptotic expansionformation of structuresдвижущаяся система координатмедленные переменныелогистическая криваяметод вариации постояннойуравнение Кардара–Паризи–Жангаравномерность асимптотического разложенияобразование структур
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