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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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Adapting domain-specific interfaces using invariants mechanisms

P. 81–92.
Ulitin B., Babkina T. S.

The process of implementing agile technologies in an enterprise is an example of a highly demanding and challenging topic both for practitioners and academy. Speaking about agility, we basically mean various kinds of automation. A higher degree of automation results in a more agile enterprise. However, in practice, even in the case of complete automation of the enterprise, there remains a need for user interaction with various software systems. To increase the efficiency and simplify such interactions, it is necessary to develop mechanisms, which enable adaptation of user domain-specific interfaces for actual conditions of human-machine interaction. We consider for this purpose the use of an invariant formalism based on the allocation of stable, unchanging object data structures and interface structures. Evaluation of the effectiveness of the approach proposed is carried out with the example of the analytical system of the university admissions committee.

Language: English
DOI
Keywords: UML transformationInvariantsGUIOrganizational agilityDomain-specific interfaceObject-relational schema

In book

Lecture Notes in Business Information Processing
Issue 423: Advanced Information Systems Engineering Workshops. CAiSE 2021. , Switzerland: Springer, 2021.
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