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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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When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
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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Insulin and IGF-1 receptors transmembrane domain dimers: structure prediction and possible role in activation

FEBS Open Bio. 2021. Vol. 11. No. Suppl.1. P. 219–219.
Kuznetsov A., Bennasroune A., Maurice P., Bershatsky Y., Bocharov E., Efremov R.

The receptor tyrosine kinase (RTK) superfamily comprises many different cell-surface receptors having similar membrane organization and function with signal transduction occuring in the dimeric state. Insulin receptor (IR) and type 1 insulin-like growth factor receptor (IGF1R) differ from other RTKs being constitutively homodimeric transmembrane glycoproteins, and molecular mechanisms of their activation still remain elusive. Current hypothesis suggests ligand-triggered structural changes in the extracellular domain followed by transmembrane (TM) domains closure and dimerization leading to kinase activity in intracellular segments of the receptor. Using experimental data as constraints, we proposed several atomistic models of dimeric states of IR and IGF-1R TM domains. Molecular dynamics simulations of IR ectodomain revealed noticeable collective movements potentially responsible for closure of its C-termini corresponding to spatial approaching of the following TM helices. Also, we demonstrated that the juxtamembrane part of the IR does not impose strong restrictions on the positioning of TM helices. Finally, we utilized two independent structure prediction methods to generate a series of TM dimer conformations followed by cluster analysis and dimerization free energy estimation to select the best dimer models. Biological relevance of the later was further tested via comparison of the hydrophobic organization of TM helices for both wild-type receptors and two their mutants. Based on these data, the role of several TM segments from other proteins in activation of IR and/or IGF-1R was explained. The elaborated models can be used for rational design of new factors modulating insulin signaling.

Research target: Biology
Priority areas: IT and mathematics
Language: English
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Keywords: transmembrane domainтрансмембранный доменdimerization free energy calculationsрасчет свободной энергии димеризации
Publication based on the results of:
Supercomputer technologies for atomistic modeling of physical processes in condensed matter (2021)
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