scispace - formally typeset
Search or ask a question
Institution

Astrakhan State University

EducationAstrakhan, Russia
About: Astrakhan State University is a education organization based out in Astrakhan, Russia. It is known for research contribution in the topics: Percolation & Carbamate. The organization has 547 authors who have published 565 publications receiving 2367 citations.


Papers
More filters
Journal ArticleDOI
01 Jan 2016
TL;DR: In this paper, the authors simulated an experiment in which a thin colloidal sessile droplet is allowed to dry out on a horizontal hydrophilic surface when a mask just above the droplet predominantly allows evaporation from the droplets free surface directly beneath the holes in the mask.
Abstract: We simulated an experiment in which a thin colloidal sessile droplet is allowed to dry out on a horizontal hydrophilic surface when a mask just above the droplet predominantly allows evaporation from the droplet free surface directly beneath the holes in the mask [Harris D J, Hu H, Conrad J C and Lewis J A 2007 Phys. Rev. Lett. 98 148301]. We considered one particular case when centre-to-centre spacing between the holes is much less than the drop diameter. In our model, advection, diffusion, and sedimentation were taken into account. FlexPDE was utilized to solve an advection-diffusion equation using the finite element method. The simulation demonstrated that the colloidal particles accumulate below the holes as the solvent evaporates. Diffusion can reduce this accumulation.

3 citations

Proceedings ArticleDOI
Irina Petrova1, V. Zaripova1, T. Zolina1, Yu. Lezhnina1, A. Karpenko1 
06 Oct 2020
TL;DR: A model of the indoor climate control process, as well as structural diagrams of control modules based on neuro-fuzzy modeling, and algorithms for this model of intelligent climate control, which uses the value of the thermal comfort index PMV to control the values of temperature and humidity in the room.
Abstract: The article describes a model of the indoor climate control process, as well as structural diagrams of control modules based on neuro-fuzzy modeling. The developed model of intelligent climate control uses the value of the thermal comfort index PMV to control the values of temperature and humidity in the room. A mathematical model and algorithms for this model are presented. A two-layer neural network will allow you to predict the PMV index with sufficient accuracy, especially on data not from the training set. The fuzzy logic module uses a database of 33 rules for converting information from sensors (temperature and humidity) and a neural network into fuzzy information to regulate temperature and humidity values based on the value of the PMV comfort index. To take into account the dependence of the room temperature on the external temperature and the heater temperature, an additional Tdif module was introduced, which allowed to increase the efficiency of the model. Computational experiments have shown that based on this model, it is possible to obtain the economic efficiency of the indoor climate control system.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the results of in vivo optical immersion clearing of human skin by aqueous solutions of some immersion agents (ribose, glucose, and fructose monosaccharides and glycerol), obtained using optical coherence tomography (OCT), and determine the values of the rate of change of the light scattering coefficient, obtained using the averaged A-scan of the OCT signal in the derma section at a depth of 350-700 μm.
Abstract: We present the results of in vivo optical immersion clearing of human skin by aqueous solutions of some immersion agents (ribose, glucose, and fructose monosaccharides and glycerol), obtained using optical coherence tomography (OCT). To assess the efficiency of optical clearing, we determined the values of the rate of change of the light scattering coefficient, obtained using the averaged A-scan of the OCT signal in the derma section at a depth of 350–700 μm. A good correlation was observed between the rate of change of the light scattering coefficient and the potential of the optical clearing. Using complex molecular simulation of the interaction of a number of immersion clearing agents with collagen mimetic peptide (GPH)3 using classical molecular dynamics and quantum chemistry, we found correlations between the efficiency of optical clearing and the energy of intermolecular interaction of cleaning agents with a fragment of collagen peptide.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the level of pro-and anti-apoptotic proteins (p-NF-kB, TNF-α, p53, FAS, caspase-3, Caspase 9) was analyzed in intraoperative biopsies of the temporal lobe gray and white matter in the brain of patients with drug-resistant epilepsy.
Abstract: Current antiepileptic strategies aim to normalize the interaction of the excitatory and inhibitory systems, which is ineffective in treating patients with drug-resistant epilepsy. Neuroinflammatory processes in the epileptic focus and its perifocal area can trigger apoptosis and also contribute to the development of drug resistance. The level of pro- and anti-apoptotic proteins (p-NF-kB, TNF-α, p53, FAS, caspase-3, caspase-9) was analyzed in intraoperative biopsies of the temporal lobe gray and white matter in the brain of patients with drug-resistant epilepsy. An increased level of pro-apoptotic proteins was revealed in the cortex and perifocal area’s white matter against the background of an imbalance of protective anti-apoptotic proteins. It appears that the activation of the extrinsic pathway of apoptosis occurs in the perifocal area, while in the epileptic focus, there are proteins responsible for the activation of the anti-apoptotic survival pathways. Active neuroinflammation in the epileptic focus and perifocal area of the temporal lobe may contribute to the development of the resistance to antiepileptic drugs and the progression of neurodegeneration in such patients.

3 citations

Journal ArticleDOI
TL;DR: In this article, the problem of transforming the classical Monge-Ampere equations to the linear equations by change of variables is studied, and the present paper is devoted to this problem.
Abstract: The present paper is devoted to the problem of transforming the classical Monge-Ampere equations to the linear equations by change of variables.

3 citations


Network Information
Related Institutions (5)
Russian Academy of Sciences
417.5K papers, 4.5M citations

84% related

National Academy of Sciences of Belarus
16.4K papers, 202.9K citations

83% related

Moscow State University
123.3K papers, 1.7M citations

83% related

National Research Nuclear University MEPhI
14.2K papers, 275.2K citations

80% related

Novosibirsk State University
23K papers, 319.8K citations

80% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
20229
202157
202073
201990
201864