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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Organotin(IV) Carboxylates—Derivatives of Bexarotene: Synthesis, Characterization, Anti/prooxidant Activity, and High Cytotoxicity

Journal of Biological Inorganic Chemistry. 2025. Vol. 30. No. 4. P. 411–424.
Burmistrova D., Pomortseva N. P., Berberova N. T., Almyasheva N. R., Kiskin M. A., Poddelsky A. I., Vashurin A., Smolyaninov I.

New organotin(IV) mono- and bis-carboxylate complexes derivatives of Bexarotene (bex), viz. R3Sn(bex) (where R = Ph (1); Cy (2); nBu (3)), and R2Sn(bex)2 (where R = Et (4), tBu (5), Ph (6)) were synthesized. Compounds were fully characterized using spectroscopic techniques. The molecular structure for the Ph3Sn(bex) (1) in crystalline form was established by single-crystal X-ray diffraction. Electrochemical properties of tin complexes and bexarotene were investigated by cyclic voltammetry. The target compounds are characterized by the high oxidation potentials in the mixture of aprotic solvents. The anti/prooxidant activity of the complexes and bexarotene in the lipid peroxidation process and in the reaction of the DNA oxidative damage was studied in vitro. Excellent cell growth inhibition against A549, HCT 116 and MCF-7 cancer cells was observed for triorganotin (IV) carboxylates with IC50 values mostly under the submicromolar concentration range and there are more effective than bexarotene or cisplatin

Research target: Chemistry Materials Technologies
Language: English
DOI
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Keywords: антиоксидантные системыБионеорганическая Химияantiproliferative activityAnti/prooxidant properties
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