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  • Процессы аффиксации в ментальном лексиконе: морфологический прайминг при орфографических изменениях в родственных глаголах русского языка.
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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Процессы аффиксации в ментальном лексиконе: морфологический прайминг при орфографических изменениях в родственных глаголах русского языка.

Вестник Православного Свято-Тихоновского гуманитарного университета. Серия 3: Филология. 2022. № 70. С. 63–91.
Chuprina A.

Suffi

xed and prefi

xed words have common linguistic properties and are

closely related to the base word in the mental lexicon. Whether diff

erent types of

information are important for the storage of diff

erent types of derivatives or whether

their mental organisation is similar are currently relevant questions in psycholinguistics.

My experimental data point at diff

erent ways of storing related verbs in the mental

lexicon, linked to the base word through two derivational processes. Between the stem

and the suffi

xed relative, the relationship is closer and is based on common lexical

properties, while the relationship between the stem and the prefi

x is rather formal.

I draw this conclusion on the basis of the robust morphological priming eff

ect from the

suffi

xed verb to its base even if the spelling integrity of the suffi

xed relative is violated.

This is true only in the condition of an orthographically preserved root morpheme. On

the contrary, the priming eff

ect to the base verb disappears from a related verb with an

orthographically violated prefi

x. Furthermore, both suffi

xation and prefi

xation do not

act uniformly and a closer look suggests that lexical organisation is modifi

ed through

the aspectual information of family members. This information will need to be taken

into account in future studies of verbal material of the Russian language.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Text on another site
Keywords: ментальный лексиконглагольная морфологияорфография русского языкаморфологический прайминг
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