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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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Современные методы биомониторинга стойких токсичных соединений в Арктической зоне Российской Федерации

Морская медицина. 2017. Т. 3. № 3. С. 94–101.
Чащин В. П.

The article is addressed to topical issues of organizing and conducting monitoring of the concentration of persistent toxic substances in human blood with a view to controlling their level and avoiding negative health effects of the population exposed to them in the Arctic zone of the Russian Federation. The purpose of the study was the scientific substantiation of evaluation criteria and methods for biomonitoring of chemicals that can be used in programs of state social and hygienic monitoring. The objectives of the study included: analysis of persistent toxic substances in the blood of the population; Development of recommendations on justifying the priorities of the state program of social and hygienic monitoring for Arctic. The results of the research showed insufficient effectiveness of existing programs, allowed to develop proposals for improving monitoring systems, including a list of new indicators and changing the structure, forming a single information space in general for all regions of the Russian Arctic.

Research target: Health Studies
Priority areas: economics
Language: Russian
DOI
Text on another site
Keywords: persistent toxic substancesстойкие токсичные веществаmarine medicineprograms of state social and hygienic monitoringbiomonitoring of chemicalsморская медицинабиологический мониторингсоциально-гигиенический мониторинг
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