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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.
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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.
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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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An IQA/QTAIM Approach to the Chalcogen Bond

Communications in Computational Chemistry. 2026. Vol. 8. No. 2. P. 203–210.
Jiménez-Grávalos F., Alexander S. Novikov, Pendás Á. M.

Chalcogen bonds (ChBs) are often interpreted as 𝜎-hole driven electrostatic interactions between a chalcogen atom and a Lewis base, yet their covalent character remains under active discussion. Here, we present a real-space, reference-free study of prototypical X2Ch···X– complexes (X = F, Cl; Ch = O, S) using the Interacting Quantum Atoms (IQA) energy decomposition within the framework of the Quantum Theory of Atoms in Molecules. Molecular electrostatic potential, Laplacian, and electron localization function analyses confirm the presence and modulation of 𝜎-holes upon complexation, while IQA formation energies reveal a broad stability range, from weakly bound Cl2O···Cl– to strongly stabilized F2S···F– systems. Energy decomposition shows that exchange–correlation contributions systematically dominate fragment interaction energies, whereas the classical Coulomb term can be secondary or even destabilizing, ruling out a purely electrostatic description. Atomic-level analysis further demonstrates that stabilization arises from a collective interplay between the direct Ch···X– contact and significant X2···X– contributions, evidencing delocalized electron sharing beyond the donor–acceptor axis. Overall, these results provide an orbital-invariant and quantitatively rigorous picture of ChBs, highlighting their substantial covalent character and many-atom cooperative nature.

Research target: Chemistry
Language: English
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Keywords: квантовая химияChemistry
Publication based on the results of:
Металлизированные фталоцианины как высокоэффективные фотосенсибилизаторы в фототерапии рака (2027)
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