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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
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Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

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Analysis of weakly correlated nodes in market network

Computational Management Science. 2024. Vol. 21. Article 18.
Semenov D., Alexander Koldanov, Petr Koldanov

The aim of the article is to analyze graphs of weakly correlated stocks. Characteristics
of these graphs such as number of edges, histogram of vertices degrees, degrees
distribution, hubs and cliques are investigated. Pearson correlation and Kendall correlation
are used to construct these graphs. Graphs constructed by the traditional
procedure and by Holm procedure are compared. Obtained results are exemplified
on the data of French stock market. In particular it is shown that reliable maximum
cliques contain very few nodes despite the large number of edges in the graph of
weakly correlated stocks.

Research target: Mathematics Computer Science
Language: English
Full text
DOI
Keywords: correlation independent setsHubsMarket networkStock returnHistogram of vertices degreesDegrees distribution
Publication based on the results of:
Network models, optimization and computational complexity (2024)
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