Publications by authors named "M Alexandrov"

Background: Сervicomedullary ependymoma (CME) is a rare tumor of the central nervous system. The CME treatment strategy is insufficiently represented in the literature and is a complex task for neurosurgeons.

Observations: The authors describe an infrequent case of a large multisegmental CME that extended from the medulla oblongata to the cervical spinal cord at the level of the sixth cervical vertebra in a 21-year-old female.

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Background: Chronic cerebral ischemia (CCI) is a form of cerebrovascular disease manifested as a vascular cognitive impairment (VCI). The management of the patients with CCI is determined by a healthy lifestyle and early therapy aimed at correcting and preventing this disease. Divaza is a drug with endothelial protective and nootropic effects.

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Objective: The article demonstrates the experience of using laser fluorescence spectrometry (LFS) in the diagnosis of inflammatory diseases of pharynx, describes a method for recording spectra of pharyngeal tissues using the EnSpectr L405 hardware-software complex operating on the basis of laser radiation with a wavelength of 405 nm, and identifies characteristic features of spectral curves.

Patients And Methods: The authors presented the characteristics of the spectra from the surface of the pharynx tissue of healthy volunteers, patients with chronic tonsillitis and granular pharyngitis.

Results: The most informative parameters of the spectral curves were calculated, analyzing which it is possible to identify the morphometric, metabolic, functional features of the tissue of the tonsils and posterior pharyngeal wall in normal and pathological conditions.

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The Research Scanning Polarimeter (RSP) is an airborne along-track scanner measuring the polarized and total reflectances with high angular resolution. It allows for accurate characterization of liquid water cloud droplet sizes using the rainbow structure in the polarized reflectance. RSP's observations also provide constraints on the cumulus cloud's 2D cross section, yielding estimates of its geometric shape.

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Article Synopsis
  • The cloud droplet number concentration (N) is crucial for understanding cloud physics and aerosol-cloud interactions, but current satellite methods to retrieve N are limited and uncertain.
  • A review highlights a total relative uncertainty of 78% in pixel-level retrievals for specific cloud types, which decreases to 54% for larger area averages, but accuracy against in situ observations is better than indicated by retrievals.
  • Dominant errors in retrieving N stem from inaccuracies in cloud droplet effective radius (r), and improving these retrievals is essential; the review also suggests recommendations and explores new methods for better N estimates using both satellite and ground-based data.
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