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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.
July 1, 2026
Scientists Discover Why Europium 'Misbehaves'
Europium is a rare-earth metal responsible for the pure red glow in displays and other luminescent materials. For a long time, however, it refused to emit light when surrounded by certain organic molecules known as acylpyrazolone ligands. Chemists have now uncovered the reason: in europium complexes with these ligands, a 'black window' appears—a charge-transfer state in which the energy absorbed by the ligand is dissipated as heat rather than emitted as light. Understanding this mechanism opens the way to designing more efficient red-emitting materials for displays, fluorescent thermometers, and chemical sensors. The results have been published in Dalton Transactions.

 

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Control of Wheeled Mobile Robot Using Centroid Algorithm

IEEE Access. 2020. Article 1.
Bhimani K. R., Ghildiyal S., Mani G., Subashini M., Stotckaia A.

In today’s developing technology, industries are playing important role for the betterment of life and society. But in industries many functions are running under hazardous conditions, so demand of human free interaction arises, which can be fulfilled by robotics. In Chemical, Oil & Gas, Petrochemicals and many manufacturing industries today we need human safety on head, and it can be done by robots. This paper implies such type of mobile robot which can be used in complex industries. The work is based on Image processing and Centroid Algorithm. The physical quantities like (temperature, pressure, humidity, stress, PH) and leakage of gases and liquids, fire, spark and many human safety related things which can be encountered by this mobile robot. By using this robot, the main achievement is human safety and simultaneously cost effective, precision and all far away data can be easily available through IoT (Cloud) [1] . Also, it works without any disincentive at particular of desired time in day or night, where particular place requires physical quantities measurement. In this project the main components are Controller (Raspberry Pi), Four DC Motor for each wheel, Pi Camera for image detection and processing, motor driver logic and physical quantities sensor [2] .

Research target: Computer Science Electronics and Electrical Engineering
Language: English
Full text
DOI
Text on another site
Keywords: роботобработка изображенийrobotsRaspberry Pi 3image processingRaspberry PICentroid AlgorithmPi CameraАлгоритм центроидаПи-камера
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