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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.
May 25, 2026
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May 25, 2026
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Улучшение запоминания текста посредством изменения шрифтов: исследование Sans Forgetica

Психологические исследования: электронный научный журнал. 2021. Т. 14. № 78.
Berezner T., Gorbunova E. S.

Recently, the idea of beneficial effect of perceptually disfluent, poorly legible fonts on memory has been actively discussed. Among the explanations for the positive effect is the "desirable difficulties" approach, according to which the disfluent fonts affect metacognitive processes while reading. Such interruption is thought to promote better information processing compared to ordinary, fluent fonts. In accordance with this approach, a special, initially disfluent font Sans Forgetica was designed in 2018 to improve memorization of texts. Existing studies still debate on the strength of the disfluency effect or even on its existence. For example, according to the cognitive load theory it is better to apply fluent, easy-to-read fonts. In order to examine this issue, we conducted a study, which involved 69 participants. Participants were presented with a short text in English with 15 open questions afterwards. Four experimental groups were formed based on the specific font: Times New Roman, Arial, Comic Sans or Sans Forgetica. Given the non-native English speakers as participants, the level of English proficiency was considered as an additional independent variable. We hypothesized that the participants from the third and fourth groups would score higher in the memorization test, since the text presented to them was written in disfluent fonts. Furthermore, it was planned to study whether the degree of English proficiency would affect the success of solving the problem when using different fonts. No significant differences were found between the participants with different level of English proficiency and the type of font. In particular, the Sans Forgetica font has not proven to be more effective for storing information. This result is consistent with recent studies that failed to observe the disfluency effect.

Research target: Education Psychology
Language: Russian
DOI
Text on another site
Keywords: обучениеlearningreadingзапоминаниеmemorycognitive loadкогнитивная нагрузкаSans Forgeticaне-беглостьжелательные трудностишрифтыfontsdesirable difficultiesSans Forgeticadisfluencyprocessing fluencyбеглость обработкичтение текстов
Publication based on the results of:
Solving cognitive tasks in interaction with digital interfaces (2021)
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