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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
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Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
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Host cell Z-RNAs activate ZBP1 during virus infections

Nature. 2025. Vol. 648. No. 8094. P. 707–716.
Yin C., Fedorov A., Guo H., Crawford J. C., Rousseau C., Poptsova M.

Herpes simplex virus 1 (HSV-1) and influenza A viruses (IAV) induce Z-form-nucleic-acid-binding protein 1 (ZBP1)-initiated cell death1,2,3,4,5,6,7,8. ZBP1 is activated by Z-RNA1,7,9, and the Z-RNAs that trigger ZBP1 during HSV-1 and IAV infections were assumed to be of viral origin1. Here, however, we show that host cell-encoded Z-RNAs are major and sufficient ZBP1-activating ligands after infection by these two human pathogens. The majority of cellular Z-RNAs mapped to intergenic endogenous retroelements embedded within abnormally long 3′ extensions of host cell mRNAs. These aberrant host cell transcripts arose as a consequence of disruption of transcription termination (DoTT)—a virus-driven phenomenon that disables cleavage and polyadenylation specificity factor (CPSF)-mediated 3′ processing of nascent pre-mRNAs10,11,12,13,14,15. Mutant viruses lacking ICP27 or NS1—the virus-encoded proteins responsible for inhibiting CPSF and triggering DoTT13,15—did not induce host cell Z-RNA accrual and were attenuated in their ability to stimulate ZBP1. Ectopic expression of HSV-1 ICP27 or IAV NS1 or pharmacological blockade of CPSF activity induced accumulation of host cell Z-RNAs and activated ZBP1. These results demonstrate that DoTT-generated cellular Z-RNAs are bona fide ZBP1 ligands, and position ZBP1-activated cell death as a host response to counter viral disruption of the cellular transcriptional machinery.

Research target: Biology Computer Science
Language: English
DOI
Keywords: virusZ-DNAZ-RNA
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