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Subject
News
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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Обзор проекта «Общество и передовые технологии в Арктике»

Арктическое обозрение. 2020. № 6. С. 50–55.
Aleskerov F. T., Korgin N., Бретлетсен Р. Д.
Research target: Computer Science
Language: Russian
Text on another site
Keywords: Арктикадистанционное зондированиемеждисциплинарный анализ
Publication based on the results of:
Decision making and data analysis in socio-economic and political systems (2020)
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This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...
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Lecture Notes in Artificial Intelligence
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Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Improving the Accuracy of Automatic Wildlife Detection in Nature Reserves Using Infrared Imaging
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IDAP++: Advancing Divergence-Aware Pruning with Joint Filter and Layer Optimization
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Automated Feature Engineering-Based Approach for Micrococci Microscopic Image Classification and Taxonomic Characteristics Determination
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This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
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Improvement in Microbial Classification Quality Using Synthetic Microscopic Images Generated by Large Visual-Language Models
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Flow-Guided Neural Pruning: Signal-Flow Framework for Multi-Architecture Model Compression
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Dynamic Pattern Analysis: Method Overview and Trajectory Assessment of Object Development
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On the Efficiency of Bounded Multi-Source Shortest Path Algorithm
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Added: June 17, 2026
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