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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Steam Reforming of Isobutanol on Biochar-Supported Ni–Co Catalysts

Russian Journal of Applied Chemistry. 2023. Vol. 96. No. 4. P. 494–501.
Osipov A. K., Kulikova M. V., Kuz’min A. E., A. B. Kulikov, Vladimirov A. A., Loktev A. S.

The equilibrium parameters of steam isobutanol reforming were calculated. These include the H2 yield,
selectivity with respect to carbon-containing gases, and feed conversion. The calculated data, on the whole, agree
with the published data and experimental values of the isobutanol conversion and yield of isobutyraldehyde and
higher alkanes on Ni–Co catalysts supported on biochars prepared by hydrothermal carbonization of cellulose.
On the other hand, the calculated yields of H2, СО, and СН4 disagree with the experimental data, which suggests
that the equilibrium in the experiments on the steam isobutanol reforming on this catalyst is not attained. Feeding
a homogeneous mixture of water, isobutanol, and ethanol into the reactor at 700°С allows the Н2 yield to be in-
creased from 58 to 66% and the water conversion, from 58 to 76% compared to the steam reforming of isobutanol
without ethanol. The addition of ethanol allows the coking to be significantly reduced and the H2 and СО yield
higher than 90% at 900°С to be reached

Research target: Chemistry
Language: English
Full text
DOI
Text on another site
Keywords: hydrothermal carbonizationethanolэтанолsteam reformingгидротермальная карбонизациябиоугольisobutanolNi–Co catalystsbiocharпаровой риформингизобутанолNi-Co катализаторы
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