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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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Эволюция концепций пространственной сегрегации в городах США

Региональные исследования. 2021. № 1(71). С. 107–117.
Alov I.

Spatial segregation has been and still remains a popular object of study among city researchers representing geography, sociology, and economics. The core of the corpus of conceptual works on this subject is composed of works devoted to US cities. Russian and Western European researchers in their works usually either use or criticize the American experience. However, at the moment in the domestic literature there is no comprehensive review of conceptual approaches to the study of the segregation of American cities. Over the almost 100-year history of this direction, theoretical and methodological approaches have changed several times. This article provides a review of thematic literature on American cities over the entire period of study of this phenomenon. There are six main stages in the development of this research field. These include the work of the Chicago School, quantitative studies of segregation as a social problem, original ideas from radical and critical geographers, concepts based on the notion of the racial hierarchy of society, publications of the Los Angeles School and theorists of polarization, as well as the two most recent major concepts. spatial segregation – «quartered city» by P. Marcuse and hyperghettoization by L. Wacquant. The key positions on which the representatives of these directions do not converge are highlighted - the reasons, driving forces and the nature of the segregation process. The logic of the change of prevailing views is traced and conceptual additions are identified.

Research target: Earth Sciences
Language: Russian
Full text
DOI
Keywords: поляризацияметодологияpolarizationконцепцияmethodologyconceptпространственная сегрегацияChicago SchoolЧикагская школаspatial segregationUS citiesLos Angeles Schoolhyperghettoizationгорода СШАЛос-Анджелесская школагипергеттоизация
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