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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.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Роль самооценки в реагировании на ситуации «угрозы Я»

Вестник Санкт-Петербургского университета. Психология (Российская Федерация). 2019. Т. 9. № 2. С. 138–154.
Molchanova O. N., Соколова Т. Ю.

This article aimed at analytic examination of how people with different self-esteem types react to receiving threatening information about the self. We modified K. Mruk’s “Self-esteem meaning matrix” model, which gave understanding of self-esteem created by the interaction of self-worthiness and self-efficacy. According to this modified model, there are five types of self-esteem: authentic, medium, negativistic, self-centered and overachieving. Self-threat was modelling by false negative feedback from participants of communication. The study included 231 students (middle age – 20.5 years): 157 respondents in experimental group, 74 respondents in control group. Results of research find specifics of personal reaction depending on self-esteem type: there was differences in cognitive, emotional and evaluative reactions in response to receiving negative feedback. According to results of the experiment, authentic and negative types are the most vulnerable types of self-esteem.

Research target: Psychology
Language: Russian
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Keywords: самооценкасамоэффективностьself-worthself-efficacyсамоуважениенегативная обратная связь self-esteempositive self-esteemmedium self-esteemnegativistic self-esteemself-centered self-esteemoverachieving self-esteemself-threatnegative feedbackпозитивная самооценкаумеренная самооценкая-центрированная самооценкаситуации "угрозы Я"
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