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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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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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Повышение быстродействия квантового алгоритма факторизации Питера Шора путём усовершенствования его классической части

Современные наукоемкие технологии. 2019. Т. 1. С. 114–118.
Смирнов И. А., Черкесова Л. В., Разумов П. В., Пилипенко И. А., Сафарьян О. А.

The proposed article compares the quantum factorization algorithm of Peter Shor and the factorization algorithm of the ?-John Pollard method. As is well known, the quantum algorithm for factoring Shor consists of classical and quantum parts. In the classical part, it is proposed to use the Euclidean algorithm to find the greatest common divisor of numbers (GCD). However, there are quite a number of algorithms for finding the greatest common divisor of numbers. The authors of this article reviewed the results of calculations of eight algorithms, among which the algorithm with the highest GOD search speed was found. This allows the quantum algorithm as a whole to work faster. In turn, this provides a great potential for the practical application of the quantum Shor algorithm. Thus, the authors modified the standard quantum algorithm of P. Shor by replacing the binary NOD search algorithm with an iterative shift algorithm, canceling the random number generation operation and using the additive chain algorithm for fast exponentiation. The obtained modified Shor’s algorithm is distinguished by higher performance and speed in the implementation of factorization. The effectiveness of this modified algorithm turned out to be, in general, higher than that of the standard Shor algorithm, due to the improvement of its classical part. As a result, the performance of the algorithm increased by 50?%.

Language: Russian
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Keywords: recursive algorithmsфакторизацияqubitкубитquantum algorithmsfactorizationthe greatest common divisorbinary algorithmiterative algorithmквантовый алгоритмнаибольший общий делительбинарный алгоритмрекурсивный алгоритмитерационный алгоритм
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