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April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
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A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
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.

 

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?

What Has Remained Unchanged in Your Business Process Model?

P. 551–558.
Kirill Artamonov, Irina Lomazova

Checking conformance between a process model and an event log, which records information about a current process behavior, is a widely used technique for business process audit. It allows discovering changes in the behavior represented by the model. There are several methods to perform conformance checking: most of them are based on 'token replay' and trace alignments. There is also a recent technique which employs Partially Synchronized Product (PSP) of event structures discovered from a model and an event log. Unfortunately, the above mentioned methods do not allow to identify model fragments still matching the current process behavior or do this by applying complex algorithms. The purpose of this paper is to provide a technique for solving this problem. For this we check conformance between event relations mined from a process model and an event log.

Language: English
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Keywords: Petri netsProcess modelsBPMNconformance checkingevent logsevent relations
Publication based on the results of:
Synthesis, recovery, conformance checking, and other methods for the analysis of process models and distributed information systems (2019)

In book

21st IEEE Conference on Business Informatics (CBI)
IEEE Computer Society, 2019.
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