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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Occasionalisms in Social Networks During the Pandemic

Journal of Language and Education. 2023. Vol. 9. No. 4. P. 46–60.
Gabrielova E., Vitalia Lopatina

ABSTRACT
Background: This study explores and analyses occasionalisms that were created by social
network users during the COVID-19 pandemic. The theoretical framework of this research is
based on observing the concepts of occasionalism, neologism and nonce word.
Purpose: To indicate occasionalisms in the Russian and English languages and compare them in
terms of word-formation, frequencies, part of speech and meanings, thus making a contribution
to the understanding of how occasionalisms emerge in these languages.
Method: A qualitative and quantitative content analyses are used for data collection. The sample
is obtained from different social networks (‘Facebook1’, ‘Twitter2’, ‘Reddit’ and ‘VK’). Results:
Occasionalisms are created mostly through blending, compounding, and affixation. Mixed
word-formation methods are also used. The most used parts of speech appear to be nouns and
adjectives. The most Russian occasionalisms are ironic, expressive and attract attention, while
English occasionalisms are not that expressive as they refer to medical or political concepts.
Borrowings from English in the Russian occasionalisms are also indicated. The glossary of 106
occasionalisms in the Russian and English languages is introduced at the end of the study.
Conclusion: The results might expand the knowledge of new vocabulary items in the field of
lexicology and stylistics, and have practical implications in language teaching and translations,
as occasionalisms may frequently create obstacles for foreign language students and translators.
They also may serve as a basis for further studies on neologisms, occasionalisms and nonce
words generated during the pandemic and cover the gap in comparative studies of the Russian
and English occasionalisms. In addition, the obtained results might be beneficial for future
research in sociolinguistics and sociocultural linguistics providing greater awareness of the
linguistic and sociocultural factors that impact the adoption and use of occasionalisms in both
languages.
 

Research target: Philology and Linguistics
Language: English
Full text
DOI
Text on another site
Keywords: word-formationnonce wordsCOVID -19occasionalismslanguage of the internetword coinage
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