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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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Investigation of transient extreme events in a mutually coupled star network of theoretical Brusselator system

Chaos. 2024. Vol. 34. No. 9. Article 091102.
Manivelan S. V., Srinivasan S., Thamilmaran K., Manimehan I.

In this article, we present evidence of a distinct class of extreme events that occur during the transient chaotic state within network modeling using the Brusselator with a mutually coupled star network. We analyze the phenomenon of transient extreme events in the network by focusing on the lifetimes of chaotic states. These events are identified through the finite-time Lyapunov exponent and quantified using threshold and statistical methods, including the probability distribution function (PDF), generalized extreme value (GEV) distribution, and return period plots. We also evaluate the transitions of these extreme events by examining the average synchronization error and the system’s energy function. Our findings, validated across networks of various sizes, demonstrate consistent patterns and behaviors, contributing to a deeper understanding of transient extreme events in complex networks.

Research target: Natural Sciences
Language: English
DOI
Text on another site
Keywords: chaosdata analysisComplex networks and Data Miningextreme eventComplex system
Publication based on the results of:
Instabilities, Turbulence and Critical Phenomena in Complex Nonlinear Systems (2024)
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