79 research outputs found
Energy-efficient building management via model predictive control
The growing world population and energy consumption, along with the depletion of
fossil energy resources and increasing concern regarding the pollution of the environment, make the
world-energy problem the largest challenge for technology in the forthcoming decades [1]. Distributed
generation could play a major role in the technological changes of the new electricity service paradigm.
The use of localized energy sources is only one of the faces of energy management in buildings. A large
part of the produced energy is used for heating and cooling systems, in order to maintain acceptable
levels of comfort for the occupants of the apartments (hereafter referred to as "users"). Therefore, at a
local level, there is a need for the definition and the testing of intelligent algorithms that can automatically
manage distributed energy sources, at the same time taking into account the management of heating/
cooling systems
Energy-efficient building management via model predictive control
The growing world population and energy consumption, along with the depletion of
fossil energy resources and increasing concern regarding the pollution of the environment, make the
world-energy problem the largest challenge for technology in the forthcoming decades [1]. Distributed
generation could play a major role in the technological changes of the new electricity service paradigm.
The use of localized energy sources is only one of the faces of energy management in buildings. A large
part of the produced energy is used for heating and cooling systems, in order to maintain acceptable
levels of comfort for the occupants of the apartments (hereafter referred to as "users"). Therefore, at a
local level, there is a need for the definition and the testing of intelligent algorithms that can automatically
manage distributed energy sources, at the same time taking into account the management of heating/
cooling systems
Huntingtonβs disease modeling on HEK293 cell line
Huntingtonβs disease is a hereditary neurodegenerative disorder caused by CAG trinucleotide repeat expansion in the first exon of HTT gene. The mutant HTT protein has an elongated polyglutamine tract and forms aggregates in the nuclei and cytoplasm of the striatal neurons. The pathological processes occurring in the medium spiny neurons of Huntingtonβs disease patients lead to neurodegeneration and consequently to the death. The molecular mechanisms of the pathology development are difficult to study due to the limited material availability and late onset of the manifestation. Therefore, one of the important tasks is generation of an in vitro model system of Huntingtonβs disease based on human cell cultures. The new genome editing approaches, such as CRISPR/Cas9, allow us to generate isogenic cell lines that can be useful for drug screening and studying mechanisms of molecular and cellular events triggered by certain mutation on an equal genetic background. Here, we investigated the viability and proliferative rate of several mutant HEK293 cell clones with mutations in the first exon of HTT gene. The mutant clones were obtained earlier using CRISPR/Cas9 genome editing technology. We showed that mutant cells partially reproduce the pathological phenotype, that is, they have reduced proliferation activity, an increased level of apoptosis and high sensitivity to treatment with 5ΞΌM MG132 proteasome inhibitor compared to the original HEK293 Phoenix cell line. Our results indicate that the mutation in the first exon of HTT gene affects not only neurons, but also other types of cells, and HEK293 cell clones bearing the mutation can serve as in vitro model for studying some mechanisms of HTT functioning
Association of polymorphic loci of susceptibility to diabetes mellitus type 2 in various ethnic groups of the Russian Federation
The multifactorial nature of type 2 diabetes mellitus (T2D) was confirmed by numerous researches. The first investigations devoted to molecular-genetic mechanisms of T2D were carried out on the basis of linkage disequilibrium (LD) studying and later the candidate genes of T2D have begun investigated. We have analyzed the literature data including the case-control studies in populations of Russia. There were revealed 33Β genes and 65 polymorphic markers in the analyzed works. The analysis of association of T2D in the ethnic groups of Russian Federation was carried out on following genes:Β ABCC8, ADIPOQ, ADIPOR1, ADIPOR2, C2CD4A/C2CD4A, CDKAL1, ΒCDKN2A/2B, CCL11, CCL20, CCL5, CYBA, FABP2, FTO, GCLC, GPX2, GSTP1, GSTT1, HHEX/IDE, IGF2BP2, IRS1, KCNJ11, KCNQ1, LPL, LRP5, MC4R, PPARG, SLC2A2, SLC30A8, SLC30A8, TCF7L2, TMEM18, WFS1, ZFAND6.Β The major of studies are replicative, i.e. repeating previous investigations of foreign authors, and were performed on Russian, Tatar and Yakut populations. At the same time not all the loci of genetic susceptibility have demonstrated the association with T2D in the population of Russia. In this work the systematic review of studies of molecular-genetic markers of T2D in the ethnic groups of Russian Federation was made for the first time
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ Π»Π°Π·Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠΆΠΈΠ³Π° Π½Π° ΡΡΡΡΠΊΡΡΡΡ, ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΡΠΎΠ½ΠΊΠΈΡ ΠΏΠ»Π΅Π½ΠΎΠΊ ΠΎΠΊΡΠΈΠ΄Π° ΡΠΈΠ½ΠΊΠ°
Paper presents experimental results of research of influence of laser annealing on the optical and electrical properties ZnO films. Developed technological regimes of modifications of layers in the production of thin film solar modules.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²Π»ΠΈΡΠ½ΠΈΡ Π»Π°Π·Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠΆΠΈΠ³Π° ΠΏΠ»Π΅Π½ΠΎΠΊ ΠΎΠΊΡΠΈΠ΄Π° ΡΠΈΠ½ΠΊΠ° Π½Π° ΠΈΡ
ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ. ΠΡΡΠ°Π±ΠΎΡΠ°Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΠΆΠΈΠΌΡ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΡΠ»ΠΎΠ΅Π² Π΄Π»Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅ ΡΠΎΠ½ΠΊΠΎΠΏΠ»Π΅Π½ΠΎΡΠ½ΡΡ
ΡΠΎΠ»Π½Π΅ΡΠ½ΡΡ
ΠΌΠΎΠ΄ΡΠ»Π΅ΠΉ
Structure and properties of aqueous dispersions of sodium dodecyl sulfate with carbon nanotubes
Β© 2016, Springer Science+Business Media New York.The dispersing action of the surfactant (sodium dodecyl sulfate, SDS) on the carbon nanotubes (CNT) in aqueous medium has been studied. Electron microscopy, molecular docking, NMR and IR spectroscopies were applied to determine the physical-chemical properties of CNT dispersions in SDSβwater solutions. It was established that micellar adsorption of the surfactant on the surface of carbon material and solubilization of SDS in aqueous medium contribute to improving CNT dispersing in water solutions. It was shown that the non-polar hydrocarbon radicals of a single surfactant molecule form the highest possible number of contacts with the graphene surface. Upon increase of the SDS in solution these radicals form micelles connected with the surface of the nanotubes. At the sufficiently high SDS concentration the nanotube surface becomes covered with an adsorbed layer of surfactant micelles. Water molecules and sodium cations are concentrated in spaces between micelles. The observed pattern of micellar adsorption is somewhat similar to a loose bilayer of surfactant molecules
Π‘Π»ΡΡΠ°ΠΉ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° ΠΠ°Π²Π°ΡΠ°ΠΊΠΈ, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Ρ ΠΌΠΈΠΊΠΎΠΏΠ»Π°Π·ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ
Based on the literature sources, modern ideas about Kawasaki syndrome, its diagnostic criteria and the possible trigger role of M. pneumoniae are given. The author describes his own observation of Kawasaki syndrome, probably associated with mycoplasma infection, in a boy of 4 years and 8 months. A special feature of the case was also the presence of a combined mycoplasma-enterovirus infection, which explained the wave-like course of the disease, as well as the delayed development of the respiratory syndrome.ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ½ΡΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠ² Π΄Π°Π½Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ΅ ΠΠ°Π²Π°ΡΠ°ΠΊΠΈ, Π΅Π³ΠΎ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΡΠΈΡΠ΅ΡΠΈΡΡ
ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠΉ ΡΡΠΈΠ³Π³Π΅ΡΠ½ΠΎΠΉ ΡΠΎΠ»ΠΈ M. pneumoniae. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ° ΠΠ°Π²Π°ΡΠ°ΠΊΠΈ, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Ρ ΠΌΠΈΠΊΠΎΠΏΠ»Π°Π·ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ, Ρ ΠΌΠ°Π»ΡΡΠΈΠΊΠ° 4 Π»Π΅Ρ 8 ΠΌΠ΅ΡΡΡΠ΅Π². ΠΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ ΡΠ»ΡΡΠ°Ρ ΡΠ°ΠΊΠΆΠ΅ ΡΠ²Π»ΡΠ»ΠΎΡΡ Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΠΎΡΠ΅ΡΠ°Π½Π½ΠΎΠΉ ΠΌΠΈΠΊΠΎΠΏΠ»Π°Π·ΠΌΠ΅Π½Π½ΠΎ-ΡΠ½ΡΠ΅ΡΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΡΡΠΎ ΠΎΠ±ΡΡΡΠ½ΡΠ»ΠΎ Π²ΠΎΠ»Π½ΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΡΡΠΎΡΠ΅Π½Π½ΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ°
ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΡΡΡΡΡ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΡ Π²ΠΈΡΡΡΠ½ΡΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Ρ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ Π΄Π΅ΡΠ΅ΠΉ
The aim of the study was to study the clinical and laboratory features of acute respiratory viral infections in hospitalized children.The analysis of medical records of 623 patients admitted to the clinic, aged from 1 month to 16 years 11 months 29 days, was carried out. All patients were diagnosed with ARVI on the basis of clinical symptoms with laboratory confirmation in the study of naso- or oropharyngeal smears by PCR.Three groups of children were identified: with respiratory syncytial (RSV) β 384 children (61,6%), metapneumovirus β 142 (22,8%) and bocavirus β 97 (15,6%) infections. It has been established that in the general structure of acute respiratory viral infections in hospitalized children, RSV and rhinovirus are the leading pathogens β 28,8β48,6% and 22,1β41,3%, respectively, depending on the calendar year. The main clinical form was acute bronchitis in 80,5% of cases of confirmed infection, with RS-viral etiology in 79,5% (n = 287) of cases, with metapneumo- and bocavirus infections in 85,6% (n = 95) and 77,8% (n = 56) of children, respectively. Bronchiolitis was characteristic of RSV infection in 10,5% of cases (n = 38). From 10 to 19,4% of cases, the course of these viral infections was complicated by the development of pneumonia.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΈΠ·ΡΡΠΈΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΡΡΡΡΡ
ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΡ
Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Ρ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ 623 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π² ΠΊΠ»ΠΈΠ½ΠΈΠΊΡ, Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 1 ΠΌΠ΅ΡΡΡΠ° Π΄ΠΎ 16 Π»Π΅Ρ 11 ΠΌΠ΅ΡΡΡΠ΅Π² 29 Π΄Π½Π΅ΠΉ. Π£ Π²ΡΠ΅Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ Π΄ΠΈΠ°Π³Π½ΠΎΠ· ΠΠ ΠΠ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² Ρ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΌ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ Π½Π°Π·ΠΎ- ΠΈΠ»ΠΈ ΠΎΡΠΎΡΠ°ΡΠΈΠ½Π³Π΅Π°Π»ΡΠ½ΡΡ
ΠΌΠ°Π·ΠΊΠΎΠ² ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠ¦Π .Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ΄Π΅Π»Π΅Π½ΠΎ 3 Π³ΡΡΠΏΠΏΡ Π΄Π΅ΡΠ΅ΠΉ: Ρ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎ-ΡΠΈΠ½ΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ (Π Π‘Π) 384 ΡΠ΅Π±Π΅Π½ΠΊΠ° (61,6%), ΠΌΠ΅ΡΠ°ΠΏΠ½Π΅Π²ΠΌΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ β 142 (22,8%) ΠΈ Π±ΠΎΠΊΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ β 97 (15,6) ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡΠΌΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π² ΠΎΠ±ΡΠ΅ΠΉ ΡΡΡΡΠΊΡΡΡΠ΅ ΠΠ ΠΠ Ρ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ Π Π‘Π ΠΈ ΡΠΈΠ½ΠΎΠ²ΠΈΡΡΡ ΡΠ²Π»ΡΡΡΡΡ Π²Π΅Π΄ΡΡΠΈΠΌΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π°ΠΌΠΈ β 28,8β48,6% ΠΈ 22,1β41,3% ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ, Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΊΠ°Π»Π΅Π½Π΄Π°ΡΠ½ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π°. ΠΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠΌΠΎΠΉ ΡΠ²Π»ΡΠ»ΡΡ ΠΎΡΡΡΡΠΉ Π±ΡΠΎΠ½Ρ
ΠΈΡ Π² 80,5% ΡΠ»ΡΡΠ°Π΅Π² ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΠΏΡΠΈ ΡΡΠΎΠΌ Π Π‘-Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ β Π² 79,5% (n = 287) ΡΠ»ΡΡΠ°Π΅Π², ΠΏΡΠΈ ΠΌΠ΅ΡΠ°ΠΏΠ½Π΅Π²ΠΌΠΎ- ΠΈ Π±ΠΎΠΊΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡΡ
β Π² 85,6% (n = 95) ΠΈ 77,8% (n = 56) ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. ΠΡΠΎΠ½Ρ
ΠΈΠΎΠ»ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ΅Π½ Π±ΡΠ» Π΄Π»Ρ Π Π‘Π ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π² 10,5% ΡΠ»ΡΡΠ°Π΅Π² (n = 38). ΠΡ 10 Π΄ΠΎ 19,4% ΡΠ»ΡΡΠ°Π΅Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΡ
Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ ΠΎΡΠ»ΠΎΠΆΠ½ΡΠ»ΠΎΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ
Π Π΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠ΅ Π²ΠΈΡΡΡΠ½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π² ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΈ Π½ΠΈΠΆΠ½ΠΈΡ Π΄ΡΡ Π°ΡΠ΅Π»ΡΠ½ΡΡ ΠΏΡΡΠ΅ΠΉ (ΠΎΠ±Π·ΠΎΡ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ)
The sharp increase in viral pneumonia against the background of the pandemic of the new coronavirus infection SARS-CoV-2 requires more attention to the study of the role of viruses in damage to the lower respiratory tract, including their etiological significance in the development of community-acquired pneumonia. Modern possibilities of laboratory diagnostics make it possible not only to identify and study respiratory viruses, but also to help differentiate active viral infections as a cause of lower respiratory tract disease from virus carriers. The review describes the epidemiological and clinical features of the most relevant or less studied pneumotropic viral infections in children (respiratory syncytial, adenovirus, bocavirus, metapneumovirus), including their role in the etiology of pneumonia in children. Understanding the viral etiology of pneumonia in children will reduce the antibacterial load, which will help to reduce the side effects of chemotherapy and slow the emergence of antimicrobialresistant bacterial strains.Π Π΅Π·ΠΊΠΈΠΉ ΡΠΎΡΡ Π²ΠΈΡΡΡΠ½ΡΡ
ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΉ Π½Π° ΡΠΎΠ½Π΅ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ Π½ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ SARS-CoV-2 ΡΡΠ΅Π±ΡΠ΅Ρ Π±ΠΎΠ»ΡΡΠ΅Π³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΊ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΡΠΎΠ»ΠΈ Π²ΠΈΡΡΡΠΎΠ² Π² ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΈ Π½ΠΈΠΆΠ½ΠΈΡ
Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈΡ
ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ Π²Π½Π΅Π±ΠΎΠ»ΡΠ½ΠΈΡΠ½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ. Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ Π²ΡΡΠ²Π»ΡΡΡ ΠΈ ΠΈΠ·ΡΡΠ°ΡΡ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΡΠ΅ Π²ΠΈΡΡΡΡ, Π½ΠΎ ΠΈ ΠΏΠΎΠΌΠΎΠ³Π°ΡΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²Π°ΡΡ Π°ΠΊΡΠΈΠ²Π½ΡΡ Π²ΠΈΡΡΡΠ½ΡΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ ΠΊΠ°ΠΊ ΠΏΡΠΈΡΠΈΠ½Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ Π½ΠΈΠΆΠ½ΠΈΡ
Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ ΠΎΡ Π²ΠΈΡΡΡΠΎΠ½ΠΎΡΠΈΡΠ΅Π»ΡΡΡΠ²Π°. Π ΠΎΠ±Π·ΠΎΡΠ΅ Π΄Π°Π½ΠΎ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΈΠ»ΠΈ ΠΌΠ΅Π½Π΅Π΅ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
ΠΏΠ½Π΅Π²ΠΌΠΎΡΡΠΎΠΏΠ½ΡΡ
Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Ρ Π΄Π΅ΡΠ΅ΠΉ (ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎ-ΡΠΈΠ½ΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ, Π°Π΄Π΅Π½ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ, Π±ΠΎΠΊΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ, ΠΌΠ΅ΡΠ°ΠΏΠ½Π΅Π²ΠΌΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ), Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈΡ
ΡΠΎΠ»ΠΈ Π² ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ. ΠΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΠ½ΠΈΠ·ΠΈΡΡ Π°Π½ΡΠΈΠ±Π°ΠΊΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ Π½Π°Π³ΡΡΠ·ΠΊΡ, ΡΡΠΎ Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ±ΠΎΡΠ½ΡΡ
ΡΠ²Π»Π΅Π½ΠΈΠΉ Ρ
ΠΈΠΌΠΈΠΎΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈ Π·Π°ΠΌΠ΅Π΄Π»ΠΈΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΠ΅ ΡΠ΅Π·ΠΈΡΡΠ΅Π½ΡΠ½ΡΡ
ΠΊ ΠΏΡΠΎΡΠΈΠ²ΠΎΠΌΠΈΠΊΡΠΎΠ±Π½ΡΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ°ΠΌ ΡΡΠ°ΠΌΠΌΠΎΠ² Π±Π°ΠΊΡΠ΅ΡΠΈΠΉ.
ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠΌ ΠΈΡΡ ΠΎΠ΄ΠΎΠΌ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ
Purpose: to study the clinical and etiological features of pneumonia in children with a poor outcome of infectious diseases.Materials and methods. The retrospective analysis of clinical, anamnestic, laboratory, instrumental data of 46 children who died from infectious diseases during the period from December 2009 to November 2019 was carried out, of which 26 patients had pneumonia at autopsy. The etiology of pneumonia was determined in vivo and postmortem using cultural, molecular genetic, serological methods and immunohistocytochemical examination of lung tissue. Pneumonia was classified into primary and secondary.Results. In patients with pneumonia in the structure of generalized infections (n=26) secondary forms prevailed (septic β 14 cases, ventilator-associated (VAP) β 5, aspiration β 2); primary pneumonia was detected in 5 children. Clinical polymorphism and frequent absence of typical symptoms of pneumonia (cough, shortness of breath, auscultatory and percussion changes) were shown, that led to intravital underdiagnosis of pneumonia in 31% of patients. The probable etiology of pneumonia was detected in vivo and postmortem in 58% and 98% of cases respectively. S. pneumoniae (40%) and H. influenzae type b (40%) were main pathogens in primary pneumonia, N. meningitidis (36%) and S. pneumoniae (29%) β in septic pneumonia, commensals of naso- and oropharynx (S. salivarius) β in aspiration pneumonia, nosocomial bacteria (S. aureus and coagulase-negative staphylococci) β in VAP. In children with HIV infection, pneumonia was associated with opportunistic pathogens (P. jirovecii, C. neoformans). In 87% of cases polymicrobial associations were found in lower airways, that makes it difficult to identify the main causative agent of pneumonia.Conclusions. Most of symptoms of pediatric pneumonia in the structure of generalized infections are nonspecific. Post-mortem study improves the etiological verification of pneumonia and allow to suggest the most pathogenetically and thanatogenetically significant pathogen.Π¦Π΅Π»Ρ: ΠΈΠ·ΡΡΠΈΡΡ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠΌ ΠΈΡΡ
ΠΎΠ΄ΠΎΠΌ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π°Π½Π°ΠΌΠ½Π΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎ-ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
46 ΡΠΌΠ΅ΡΡΠΈΡ
ΠΎΡ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π΄Π΅ΡΠ΅ΠΉ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ Π΄Π΅ΠΊΠ°Π±ΡΡ 2009 Π³. ΠΏΠΎ Π½ΠΎΡΠ±ΡΡ 2019 Π³., ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
Ρ 26 Π±ΠΎΠ»ΡΠ½ΡΡ
Π½Π° Π°ΡΡΠΎΠΏΡΠΈΠΈ Π²ΡΡΠ²Π»Π΅Π½Π° ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ. ΠΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»Π°ΡΡ ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ ΠΈ ΠΏΠΎΡΠΌΠ΅ΡΡΠ½ΠΎ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΊΡΠ»ΡΡΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ, ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΠΈΠΌΠΌΡΠ½ΠΎΠ³ΠΈΡΡΠΎΡΠΈΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠ°Π½ΠΈ Π»Π΅Π³ΠΊΠΈΡ
. ΠΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ ΠΊΠ»Π°ΡΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π»Π°ΡΡ Π½Π° ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ ΠΈ Π²ΡΠΎΡΠΈΡΠ½ΡΡ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠ΅ΠΉ Π½Π° ΡΠΎΠ½Π΅ Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ (n=26) ΠΏΡΠ΅ΠΎΠ±Π»Π°Π΄Π°Π»ΠΈ Π²ΡΠΎΡΠΈΡΠ½ΡΠ΅ ΡΠΎΡΠΌΡ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ Π»Π΅Π³ΠΊΠΈΡ
β ΡΠ΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ (n=14), Π²Π΅Π½ΡΠΈΠ»ΡΡΠΎΡ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ (ΠΠΠ; n=5) ΠΈ Π°ΡΠΏΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ (n=2); ΠΏΠ΅ΡΠ²ΠΈΡΠ½Π°Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ Π²ΡΡΠ²Π»Π΅Π½Π° Ρ 5 Π΄Π΅ΡΠ΅ΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ»ΠΈΠΌΠΎΡΡΠΈΠ·ΠΌ ΠΈ ΡΠ°ΡΡΠΎΠ΅ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΡ
Π΄Π»Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² (ΠΊΠ°ΡΠ΅Π»Ρ, ΠΎΠ΄ΡΡΠΊΠ°, Π°ΡΡΠΊΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΡΠ΅ ΠΈ ΠΏΠ΅ΡΠΊΡΡΠΎΡΠ½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ) Ρ Π΄Π΅ΡΠ΅ΠΉ Π² ΡΡΠΆΠ΅Π»ΠΎΠΌ ΡΠΎΡΡΠΎΡΠ½ΠΈΠΈ, ΡΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²ΠΈΠ»ΠΎ ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΡΡ Π³ΠΈΠΏΠΎΠ΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΡ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ 31% Π±ΠΎΠ»ΡΠ½ΡΡ
. ΠΠ΅ΡΠΎΡΡΠ½Π°Ρ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Π²ΡΡΠ²Π»Π΅Π½Π° ΠΏΡΠΈΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎ Π² 58% ΡΠ»ΡΡΠ°Π΅Π², ΠΏΠΎΡΡΠΌΠΎΡΡΠ°Π»ΡΠ½ΠΎ β Π² 98%. ΠΡΠΈ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΡΡΠΈΠΎΠΏΠ°ΡΠΎΠ³Π΅Π½Π°ΠΌΠΈ ΡΠ²Π»ΡΠ»ΠΈΡΡ S. pneumoniae (40%) ΠΈ H. influenzae ΡΠΈΠΏΠ° b (40%), ΠΏΡΠΈ ΡΠ΅ΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠΉ β N. meningitidis (36%) ΠΈ S. pneumoniae (29%), ΠΏΡΠΈ Π°ΡΠΏΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ β ΠΊΠΎΠΌΠΌΠ΅Π½ΡΠ°Π»Ρ Π½ΠΎΡΠΎ- ΠΈ ΡΠΎΡΠΎΠ³Π»ΠΎΡΠΊΠΈ (S. salivarius), ΠΏΡΠΈ ΠΠΠ β ΠΏΡΠ΅Π΄ΡΡΠ°Π²ΠΈΡΠ΅Π»ΠΈ Π½ΠΎΠ·ΠΎΠΊΠΎΠΌΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΠΎΡΡ (S. aureus ΠΈ ΠΊΠΎΠ°Π³ΡΠ»Π°Π·ΠΎΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΠ°ΡΠΈΠ»ΠΎΠΊΠΎΠΊΠΊΠΈ). Π£ Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΠΠ§-ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ Π²ΠΎ Π²ΡΠ΅Ρ
ΡΠ»ΡΡΠ°ΡΡ
Π±ΡΠ»Π° Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π° Ρ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»ΡΠΌΠΈ ΠΎΠΏΠΏΠΎΡΡΡΠ½ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ (P. jirovecii, C. neoformans). Π 87% ΡΠ»ΡΡΠ°Π΅Π² Π² Π½ΠΈΠΆΠ½ΠΈΡ
Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΡΡ
ΠΎΠ±Π½Π°ΡΡΠΆΠΈΠ²Π°Π»ΠΈΡΡ ΠΏΠΎΠ»ΠΈΠΌΠΈΠΊΡΠΎΠ±Π½ΡΠ΅ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΠΈ, ΡΡΠΎ Π·Π°ΡΡΡΠ΄Π½ΡΠ΅Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠ² ΠΈ ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ² Ρ Π΄Π΅ΡΠ΅ΠΉ Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠ΅ΠΉ Π½Π° ΡΠΎΠ½Π΅ Π³Π΅Π½Π΅ΡΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ Π½Π΅ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½Ρ. ΠΠΎΡΠΌΠ΅ΡΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π°ΡΡΠΎΠΏΡΠΈΠΉΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΡΠ»ΡΡΡΠ°Π΅Ρ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ Π²Π΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈ ΡΠ°Π½Π°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΠΉ Π²ΠΎΠ·Π±ΡΠ΄ΠΈΡΠ΅Π»Ρ Π² ΡΠ»ΡΡΠ°ΡΡ
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