Publications by authors named "A Ia Andreev"
A New Method of Intraoperative Modeling of Liver Cirrhosis in an Experiment.
Bull Exp Biol Med
January 2025
Article Synopsis
- A method was developed to model liver cirrhosis in male Wistar rats by performing a significant liver resection (about 70% volume).
- After surgery, one group received ademetionine while the control group got saline; both had various tests conducted on them over a 14-day period.
- Results indicated that the ademetionine group experienced notable liver dysfunction, with laboratory tests showing significant abnormalities, along with observable fibrotic, cirrhotic, and inflammatory liver changes that persisted beyond the testing period.
We study hydrodynamic thermal transport in high-mobility two-dimensional electron systems placed in an in-plane magnetic field and identify a new mechanism of thermal magnetotransport. This mechanism is caused by drag between the electron populations with opposite spin polarization, which arises in the presence of a hydrodynamic flow of heat. In high mobility systems, spin drag results in strong thermal magnetoresistance, which becomes of the order of 100% at relatively small spin polarization of the electron liquid.
View Article and Find Full Text PDFThis case describes a 76-year-old male with initial clinical concern for a high-grade glioma, who was ultimately diagnosed with cerebral amyloid angiopathy-related inflammation The patient's presentation included a tonic-clonic seizure followed by aphasia and right-sided hemiparesis. Magnetic resonance brain imaging demonstrated a large left frontal lesion with parenchymal contrast enhancement. Magnetic resonance spectroscopy indicated elevated choline to creatine and choline to N-acetyl aspartate ratios, further suggestive of high-grade glioma.
View Article and Find Full Text PDFCharge density wave (CDW) instability drastically affects the surface electron spectrum of a Weyl semimetal. We show that in the CDW phase, the Fermi arcs reconnect into either closed Fermi loops or Frieze patterns traversing the reconstructed surface mini Brillouin zone. For the closed reconnection topology, application of an out of plane magnetic field leads to a cyclotron motion of the surface electrons.
View Article and Find Full Text PDFArticle Synopsis
- Hidden data recovery is important in fields like neurophysiology due to issues with incomplete or corrupted experimental data.
- This study examines the use of reservoir computing (RC) for recovering hidden data from both model systems and real EEG signals, finding that RC is more effective than linear regression (LR) in these cases.
- The research suggests that RC can enhance data recovery processes, leading to improved accuracy and reliability in neurophysiological studies, which is critical for scientific analysis.