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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
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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
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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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Within-limb somatotopy of excitatory and inhibitory processes probed by paired pulse TMS – Preliminary results

Clinical Neurophysiology. 2020. Vol. 131. No. 4. P. e128–e129.
Nazarova M., Иванина Е. О., Asmolova A., Иванов М., Novikov P., Nikulin V.

Question:Paired pulse transcranial magnetic stimulation(ppTMS) is a common approach to probe cortical excitatory and inhi-bitory processes [a]. ppTMS paradigms can be classified by the inter-stimulus interval (ISI) to long and short interval ppTMS. It isassumed, that short interval ppTMS phenomena such as short-inter-val cortical inhibition phenomenon (SICI) are rather focal and arediscussed in terms of surround inhibition in the motor cortex [b].Longer interval ppTMS phenomena are believed to be based on morewidespread trans-synaptic mechanisms[c]. The topographic aspectsof these ppTMS phenomena are not fully understood yet. The associ-ation of the various ppTMS phenomena studied in different musclesof the same limb remains unexplored. The aim of this study was toassess the interaction of ppTMS phenomena, probed in differentupper limb muscles. We hypothesized that the correlation amongthe different hand muscles within the ppTMS phenomenon willdepend on the ppTMS ISI.Methods:19 healthy right-handed volunteers participated in thestudy (15 females, 18–30 y.o.). Four ppTMS phenomena (SICI/LICI –short-interval/long-interval intracortical inhibition, SICF – short nterval intracortical facilitation and ICF – intracortical facilitation)were probed using navigated TMS (MagPro X100, Localite TMSNavigator) applied at the APB hotspot of the left primary motor cor-tex. We registered motor evoked potentials (MEPs) from four rightupper limb muscles: abductor pollicis brevis (APB), extensor digito-rum communis (EDC), abductor digiti minimi (ADM) and biceps bra-chii (BB). Spearman’s rank correlation coefficient was calculated toevaluate an association of inter-muscle ppTMS phenomena.Multiple comparisons were controlled with the FDR. For the finalanalysis we considered only correlations between spatially sepa-rated muscles with sufficiently high amplitudes of MEPs during sin-gle pulse TMS.Results:SICI, ICF and LICI phenomena correlated significantlyamong all the considered muscles‘ pairs. SICI for APBEDC:r=0.793,p= 0.000; for ADMEDC:r= 0.905,p= 0.000. ICF for APBEDC:r= 0.639,p= 0.000; for ADMEDC:r= 0.639,p= 0.000.SICF for APBEDC:r= 0.423,p> 0.05; for ADMEDC:r= 0.779,p= 0.000. LICI for APBEDC:r= 0.575,p= 0.000; for ADMEDC:r= 0.704,p= 0.004.Conclusion:In agreement with the previous data, we did not finda clear association among different ppTMS phenomena. In contrastto our hypothesis, there is no link between ISI and the correlationof the same ppTMS phenomenon among muscles. The lack of thecorrelation between APB and EDC in SICF might be explained bySICF peculiar mechanism through the superposition of D-and I-waves [d]; and by a specialized functionality of the thenar, compar-ing to hypothenar muscles, – the idea which should be further ver-ified in the following experiments.

Research target: Biology Social Sciences Basic Medicine Medical Biotechnologies Medical Technologies
Language: English
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Keywords: TMSprimary motor cortex
Publication based on the results of:
Multidisciplinary investigation of neurocognitive brain processes using neurophysiological, behavioral and structural approaches (2020)
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