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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.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
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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Supercomputing. RuSCDays 2020. Communications in Computer and Information Science

Vol. 1331: 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers. Switzerland : Springer, 2020.
Under the general editorship: V. Voevodin, S. Sobolev

This book constitutes the refereed post-conference proceedings of the 6th Russian Supercomputing Days, RuSCDays 2020, held in Moscow, Russia, in September 2020.*

The 51 revised full and 4 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in the following topical sections: parallel algorithms; supercomputer simulation; HPC, BigData, AI: architectures, technologies, tools; and distributed and cloud computing.

* The conference was held virtually due to the COVID-19 pandemic.

Chapters
Running Many-Task Applications Across Multiple Resources with Everest Platform
Sukhoroslov O. V., Voloshinov V., Smirnov S., , in: Supercomputing. RuSCDays 2020. Communications in Computer and Information ScienceVol. 1331: 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers.: Switzerland: Springer, 2020. P. 634–646.
Added: October 29, 2021
Analysis of Key Research Trends in High-Performance Computing Using Topic Modeling Technique
Zelenkov Y., , in: Supercomputing. RuSCDays 2020. Communications in Computer and Information ScienceVol. 1331: 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21–22, 2020, Revised Selected Papers.: Switzerland: Springer, 2020. P. 401–412.
The intellectual structure of scientific discipline consists of a set of interacting topics. The evolution of these topics is the subject of special attention because it reflects the actual interest of researchers and stakeholders. This paper analyzes issues of High-Performance Computing (HPC) on the base of the formal topic modeling technique. Analyzing the abstracts of ...
Added: December 10, 2020
Research target: Mathematics Computer Science
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: parallel computing cloud computingnumerical methodsgrid computingcomputer hardware
Supercomputing. RuSCDays 2020. Communications in Computer and Information Science
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