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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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Изучение компьютерно-опосредованной коммуникации в лингвистическом аспекте

Вопросы языкознания. 2023. № 2. С. 144–156.
Khazova A.

The article contains an overview of the work of Russian and foreign authors concerning the phenomenon of computer-mediated communication in linguistic perspective. We describe the features of the digital communication channel that can influence different levels of language, with special attention to the studies focusing on vocabulary, morphology, syntax, and punctuation of texts generated during Internet communication. We consider specific quantitative studies of these levels of language and note the special lability of the lexical level. We also demonstrate the mixed nature of borrowing morphological, syntactic, and punctuation features from spoken and written language and highlight the role of the mechanism of the economy of linguistic means at each level. The paper gives a detailed description of the corpus studies by I. Karpov and A. Bodomo, and also draws on the material from the Russian National Corpus. In addition, the works dealing with the issues of speech patterns of communication and code-switching are described. Further, we address the problem of inheritance of features of spoken and written language by computer-mediated communication: we show how many elements are borrowed and transformed at different levels and explain which extralinguistic factors can influence those changes. Special attention is paid to such constructions as well-wishes and appeals, as well as their functioning in various Internet spaces (e‑mail, messengers, social media, forums). The final part of the article summarizes the results, concludes about the intermediate position of computer-mediated communication between oral and written communication, and discusses the prospects for studying Internet communication using quantitative methods.

Research target: Philology and Linguistics
Language: Russian
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Keywords: интернет-коммуникациякомпьютерно-опосредованная коммуникацияInternet communicationэлектронная коммуникацияcomputer-mediated communicationelectronic communication
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