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July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.
July 2, 2026
Researchers Discover How Spelling Errors Slow Down Reading in Russian
Psycholinguists from the Centre for Language and Brain at HSE University–St Petersburg have shown that words that are frequently misspelled are processed more slowly by readers, even when presented with the correct spelling. The researchers confirmed this effect for the first time using Russian-language materials and found that response speed is most strongly linked to how confidently individuals can distinguish the correct spelling of a word from an incorrect one. The study has been published in The Mental Lexicon.
July 2, 2026
HSE Develops App for Assessing Phonological Processing in Children
Researchers at the HSE Centre for Language and Brain have developed a new digital tool for assessing children's phonological processing skills—the ZARYA (Sound Analysis of the Russian Language) test battery. It is the first standardised application in Russia designed to provide a fast and reliable assessment of children's ability to distinguish speech sounds, retain them in working memory, and perform phonemic analysis. The app runs on Android tablets and smartphones and is available for download from RuStore. Details of the test validation have been published in the Journal of Speech, Language, and Hearing Research.

 

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Dispute Resolution with OWL DL and Reasoning

CEUR Workshop Proceedings. 2023. No. 3515.
Baimuratov I., Lisanyuk E., Prokudin D.

Dispute resolution is an essential part of argumentation. Although there have been particular advances in computational argumentation with machine learning, we assume that explicit and deterministic techniques for dispute resolution still have significant potential. There are semantic approaches to argument representation, such as the Argument Interchange Format that supports a certain level of interoperability, but according to our knowledge, dispute resolution techniques based on semantics are not yet studied. In this research, we consider single mixed disputes through abstract argumentation frameworks and propose a method for representing such disputes in OWL DL that allows resolving them with reasoning. Additionally, we develop an algorithm for generating the OWL DL representation having argument sets and attack relations as input. The algorithm is validated with a proof of concept implementation, and the OWL DL representation – with an example of correct dispute resolution performed by reasoning over the generated ontology

Research target: Philosophy, Ethics, and Religious Studies Computer Science
Language: English
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Keywords: reasoningdispute resolutionabstract argumentation frameworkscomputational argumentationOWL DL
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