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News
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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Оценка перспектив развития российской угольной промышленности

Недропользование XXI век. 2024. № 1(102). С. 32–42.
Ulanov V. L., Иванова Е. В., Семина И. С.

Ensuring economic growth of the Russian economy is one of the debated issues in science and the business community. Effective tools and management technologies for intensifying the development of various industries and productions are being actively researched. These issues are of particular importance in the context of the development of the coal mining industry, which plays a key role in the Russian and global energy sector not only from the point of view of providing resources for related industries and creating jobs, but also from the point of view of the environmental agenda - in the process of burning coal during its use in the energy sector emissions of toxic substances and coal dust into the atmosphere are formed, and the dumps formed during the coal mining process are potential carbon storage facilities. The purpose of the study is to analyze the intermediate results of the implementation of the long-term program for the development of the Russian coal industry, the influence of external factors on the development prospects of the industry, its investment attractiveness, which determines the likelihood of an influx of investment resources to ensure further growth. The results of the study are presented in the form of an assessment of the main effects of the implementation of the 2030 Program, a strategic study of the growth prospects of the Russian coal industry in the context of declining industry income due to changes in logistics schemes, the winding down of long-term contracts for the supply of fossil fuels, restrictions on investments in traditional energy projects, and  anti-Russian sanctions. To achieve this goal, methods of generalization, systematization, structural, situational, system analysis, dialectical approach, analysis of statistical indicators reflecting the dynamics of industry development in the light of the implemented Program were used. Further research will be aimed at assessing the feasibility of the 2035 Program in terms of goals, designated ways to achieve them, predicted results, and harmonization of the interests of all stakeholders.

Research target: Economics and Management
Language: Russian
Full text
Keywords: промышленная политикаэкономический ростeconomic growthпрограмма развитияdevelopment programindustrial policycoal industryугольная промышленностьgreen energyзеленая энергетика
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