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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Singlet oxygen-mediated oxidation of sulfides with palladium(II) porphyrinates: The effect of partly conjugated peripheral substituents

Journal of Photochemistry and Photobiology A: Chemistry. 2026. Vol. 474. Article 116936.
Birin K. P.

Oxidation of sulfides by singlet oxygen has been extensively studied, yet the structure-photoactivity relationship of these photosensitizers remains underinvestigated. In the present work the photocatalytic performance of a set of functionalized palladium(II) porphyrinates was comprehensively investigated in the photocatalytic oxidation of sulfides to reveal mutual influence of structural peculiarities onto the photosensitizing properties. The photophysical properties of these compounds, including stationary concentration of singlet oxygen in solution, were also studied. These findings allowed to track the influence of tunable partial conjugation of meso-substituents on the overall catalytic performance. In addition, the values of singlet oxygen quantum yields were determined and their correlations with reaction rates were observed. A kinetic model was proposed to explain the relation between the value of singlet oxygen quantum yield and sulfoxidation rate.

Research target: Chemistry
Language: English
DOI
Text on another site
Keywords: porphyrinspalladium complexesOxidation of sulfidesPhotochemical kineticsSinglet oxygen
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