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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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Neural networks to solve modern artificial intelligence tasks

P. 1–7.
Gruzenkin D. V., Sukhanova A. V., Novikov O. S., Grishina G. V., Rutskiy V., Tsarev R., Zhigalov K. Y.

Today the information technologies are increasing and improving by leaps and bounds becoming smarter and faster. And artificial intelligence is penetrating deeper and deeper in everyday life. So, artificial intelligence field is becoming more interesting for modern scientists and engineers. Artificial neural networks are used all over the world as one of the approaches that can provide with the high relevance level of resolving results of badly formalized or unformalized tasks. In this article a review of artificial neural networks development tools of different kinds is presented. Also there is a detailed description of all of them and the main features are emphasized. As a result, the table is presented that allows to make a quick compare of described tools and decide if any of them are suitable for a reader or not.

Language: English
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Keywords: искусственный интеллектнейронные сетиneural networkscomplex systemsartificial intelligenceкомплексные системыneural networks softwareпрограммы нейронных сетей

In book

Journal of Physics: Conference Series
Journal of Physics: Conference Series
Vol. 1399: International Scientific Conference "Conference on Applied Physics, Information Technologies and Engineering – APITECH-2019" 25–27 September 2019, Krasnoyarsk, Russian Federation. Issue 3. , Institute of Physics Publishing (IOP), 2019.
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