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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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Brain Connectometry Changes in Space Travelers After Long-Duration Spaceflight

Frontiers in Neural Circuits. 2022. Vol. 16. Article 815838.
Doroshin A., Jillings S., Jeurissen B., Tomilovskaya E., Pechenkova E., Nosikova I., Rumshiskaya A., Litvinova L., Rukavishnikov I., De Laet C., Schoenmaekers C., Sijbers J., Laureys S., Petrovichev V., Van Ombergen A., Annen J., Sunaert S., Parizel P., Sinitsyn V., Zu Eulenburg P., Osipowicz K., Wuyts F.

Humans undergo extreme physiological changes when subjected to long periods of weightlessness, and as we continue to become a space-faring species, it is imperative that we fully understand the physiological changes that occur in the human body, including the brain. In this study, we present findings of brain structural changes associated with long-duration spaceflight based on diffusion magnetic resonance imaging (dMRI) data. Twelve cosmonauts who spent an average of six months aboard the International Space Station (ISS) were scanned in an MRI scanner pre-flight, ten days after flight, and at a follow-up time point seven months after flight. We performed differential tractography, a technique that confines white matter fiber tracking to voxels showing microstructural changes. We found significant microstructural changes in several large white matter tracts, such as the corpus callosum, arcuate fasciculus, corticospinal, corticostriatal, and cerebellar tracts. This is the first paper to use fiber tractography to investigate which specific tracts exhibit structural changes after long-duration spaceflight and may direct future research to investigate brain functional and behavioral changes associated with these white matter pathways.

Research target: Basic Medicine
Language: English
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Keywords: neuroscienceмагнитно-резонансная трактографиянейронаукаMR tractographyнейропластичностьInternational Space StationМеждународная космическая станцияNeuroplasticityMRImicrogravityмикрогравитацияspaceflightкосмические полетыМагнитно-резонансная томография (МРТ)
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