27 research outputs found
Hidden attractors in fundamental problems and engineering models
Recently a concept of self-excited and hidden attractors was suggested: an
attractor is called a self-excited attractor if its basin of attraction
overlaps with neighborhood of an equilibrium, otherwise it is called a hidden
attractor. For example, hidden attractors are attractors in systems with no
equilibria or with only one stable equilibrium (a special case of
multistability and coexistence of attractors). While coexisting self-excited
attractors can be found using the standard computational procedure, there is no
standard way of predicting the existence or coexistence of hidden attractors in
a system. In this plenary survey lecture the concept of self-excited and hidden
attractors is discussed, and various corresponding examples of self-excited and
hidden attractors are considered
Effect of synthetic peptide thrombin receptor agonist encapsulated in microparticles based on lactic and glycolic acid copolymer on healing of experimental skin wounds in mice.
PAR1 peptide thrombin receptor agonist (PAR1-AP) was encapsulated in microcorpuscles based on lactic and glycolic acid copolymer. The desorption profile of the preparation was studied in vitro and its wound-healing effects were studied on a model of cut skin wound in mice. The study showed that 90% PAR1-AP was desorbed over 6 h, but the peptide was detected in eluates from the microparticle surface after 23 h. The desorbed peptide retained its physiological activity and was capable of activating PAR1 receptors on human platelets. The study of the dynamics of experimental skin wound healing in mice showed lower number of macrophages in the wounds treated with PAR1-AP microparticles compared to the control (open wounds and wounds covered with microparticles) and higher number of fibroblasts on day 3 of tissue reparation. Hence, PAR1-AP desorbed from microparticles shortened the inflammation phase in the wound. On day 7 the best healing parameters were also observed in wounds treated with PAR1-AP microparticles, which attests to shortening of the proliferation phase and acceleration of wound healing
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
Infectious and non-infectious pericarditis in children
Pericardial diseases in children are heterogeneous in nature and can be both isolated and part of the systemic pathology. Data on the epidemiology and etiology of pericardial disease are contradictory and depend on the hospital profile, patients' age and study aims. Objective of the research-to study modern structure of pericardial diseases in children, clinical and instrumental features of individual forms and treatment tactics in real clinical practice according to the data of the Moscow multi-profile hospital. Study materials and methods: A complex clinical and laboratory-based examination was conducted in 121 patients aged from 1 month to 18 years, admitted to Morozov Children's City Clinical Hospital in Moscow in 2001-2016 with pericardium diseases. Results: pericardium inflammatory lesions were diagnosed in 86% of children, 57% of patients had infectious pericarditis (bacterial and idiopathic). The most severe course was in cases of bacterial, neoplastic pericarditis and postpericardiotomy syndrome (PPTS). A common feature of the severe course was the accumulation of a large pericardial effusion and the threat of a cardiac tamponade. In patients with idiopathic pericarditis and PPTS, herpesvirus infections markers, Mycoplasma pneumoniae, Chlamydophila pneumoniae, were more often detected with large effusions accumulation (p=0,02). Complications development was noted in 33 (27,3%) children: cardiac tamponade or the threat of its development in 23 (19%), recurrent course in 11 (9,1%). As anti-inflammatory therapy non-steroidal anti-inflammatory drugs were used (73,6% of patients); if they were inefficient-glucocorticosteroids (41,3%) and intravenous immunoglobulins (24,8%). Pericardiocentesis due to threat of cardiac tamponade was performed in 13 (10,74%) children. Conclusion: in pericarditis structure dominated infectious: bacterial and idiopathic (57%). Specific IgM antibodies to herpesviruses, Mycoplasma pneumoniae, Chlamydophila pneumoniae are possible markers of large pericardial effusion accumulation children with idiopathic pericarditis and PPTS. To assess the predictors of pericarditis adverse course incl. use of glucocorticosteroids, it is necessary to analyze long-term disease catamnesis. Β© 2017, Pediatria Ltd. All rights reserved
ΠΠ΅Π½Ρ Β«ΡΡΠ°Ρ Π°Π½ΠΎΠ²ΡΡΒ» 18 Ρ ΡΠΎΠΌΠΎΡΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΠΎΡΡΡΡΡΡΠ²ΡΡΡΠΈΠ΅ Π±Π΅Π»ΠΊΠΈ ΠΈ Π½Π΅ ΠΎΡ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅ Π±Π΅Π»ΠΊΠΈ Π² ΡΠΊΠ°Π½ΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΈ HepG2
Missing (MP) and functionally uncharacterized proteins (uPE1) comprise less than 5% of the total number of proteins encoded by human Chr18 genes. Within half a year, since the January 2020 version of NextProt, the number of entries in the MP+uPE1 datasets changed, mainly due to the achievements of antibody-based proteomics. Assuming that the proteome is closely related to the transcriptome scaffold, quantitative PCR, Illumina HiSeq, and Oxford Nanopore Technology were applied to characterize the liver samples of three male donors in comparison with the HepG2 cell line. The data mining of the Expression Atlas (EMBL-EBI) and the profiling of biopsy samples by using orthogonal methods of transcriptome analysis have shown that in HepG2 cells and the liver, the genes encoding functionally uncharacterized proteins (uPE1) are expressed as low as for the missing proteins (less than 1 copy per cell), except the selected cases of HSBP1L1, TMEM241, C18orf21, and KLHL14. The initial expectation that uPE1 genes might be expressed at higher levels than MP genes, was compromised by severe discrepancies in our semi-quantitative gene expression data and in public databanks. Such discrepancy forced us to revisit the transcriptome of Chr18, the target of the Russian C-HPP Consortium. Tanglegram of highly expressed genes and further correlation analysis have shown the severe dependencies on the mRNA extraction method and the analytical platform. Targeted gene expression analysis by quantitative PCR (qPCR) and high-throughput transcriptome profiling (Illumina HiSeq and ONT MinION) for the same set of samples from normal liver tissue and HepG2 cells revealed the detectable expression of 250+ (92%) protein-coding genes of Chr18 (at least one method). The expression of slightly more than 50% protein-coding genes was detected simultaneously by all three methods. Correlation analysis of the gene expression profiles showed that the grouping of the datasets depended almost equally on both the type of biological material and the experimental method, particularly cDNA/mRNA isolation and library preparation.ΠΡΡΡΡΡΡΠ²ΡΡΡΠΈΠ΅ Π±Π΅Π»ΠΊΠΈ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ Π½Π΅ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅ Π±Π΅Π»ΠΊΠΈ (Π² Π°Π½Π³Π»ΠΎΡΠ·ΡΡΠ½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ΅ ΠΎΠ±ΠΎΠ·Π½Π°ΡΠ΅Π½Π½ΡΠ΅ ΠΊΠ°ΠΊ missing (MP) ΠΈ functionally uncharacterized proteins (uPE1), ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ) ΡΠΎΡΡΠ°Π²Π»ΡΡΡ ΠΌΠ΅Π½Π΅Π΅ 5% ΠΎΡ ΠΎΠ±ΡΠ΅Π³ΠΎ ΡΠΈΡΠ»Π° Π±Π΅Π»ΠΊΠΎΠ², ΠΊΠΎΠ΄ΠΈΡΡΠ΅ΠΌΡΡ
Π³Π΅Π½Π°ΠΌΠΈ 18 Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. Π ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡΠ³ΠΎΠ΄Π°, Π½Π°ΡΠΈΠ½Π°Ρ Ρ ΡΠ½Π²Π°ΡΡ 2020 Π³ΠΎΠ΄Π°, Π² Π²Π΅ΡΡΠΈΠΈ NextProt Π²ΡΡΠΎΡΠ»ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π·Π°ΠΏΠΈΡΠ΅ΠΉ Π² Π½Π°Π±ΠΎΡΠ°Ρ
Π΄Π°Π½Π½ΡΡ
MP+uPE1. ΠΠΎΠ΄ΠΎΠ±Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Ρ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡΠΌΠΈ ΠΏΡΠΎΡΠ΅ΠΎΠΌΠΈΠΊΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½ΡΠΈΡΠ΅Π». Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΠ¦Π , ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ΅ΠΊΠ²Π΅Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Illumina HiSeq ΠΈ Oxford Nanopore Technologies Π±ΡΠ»ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ Π΄Π»Ρ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΎΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² ΠΏΠ΅ΡΠ΅Π½ΠΈ ΡΡΠ΅Ρ
Π΄ΠΎΠ½ΠΎΡΠΎΠ² ΠΌΡΠΆΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»Π° ΠΈ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΈ HepG2. ΠΠ½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
Π°ΡΠ»Π°ΡΠ° ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ (Expression Atlas, EMBL-EBI) ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΏΠΎ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΡΠ°ΠΌ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΡΠΎΠ³ΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΎΠΌΠ° ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ Π² ΠΊΠ»Π΅ΡΠΊΠ°Ρ
ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ HepG2 ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ Π³Π΅Π½ΠΎΠ², ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΡ
ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ Π½Π΅ ΠΎΡ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠ΅ Π±Π΅Π»ΠΊΠΈ (uPE1), Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡΡ Π½Π° ΡΠ°ΠΊΠΎΠΌ ΠΆΠ΅ Π½ΠΈΠ·ΠΊΠΎΠΌ ΡΡΠΎΠ²Π½Π΅, ΠΊΠ°ΠΊ ΠΈ Π² ΡΠ»ΡΡΠ°Π΅ Π³Π΅Π½ΠΎΠ² MP (Π² ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅ ΠΌΠ΅Π½Π΅Π΅ 1 ΠΊΠΎΠΏΠΈΠΈ Π½Π° ΠΊΠ»Π΅ΡΠΊΡ). ΠΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ Π³Π΅Π½ΠΎΠ²: HSBP1L1, TMEM241, C18orf21 ΠΈ KLHL14. Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡΠΌ Π² ΡΠ°Π½Π΅Π΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΏΠΎΠ»ΡΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΏΠΎ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ Π³Π΅Π½ΠΎΠ² ΠΈ Π΄Π°Π½Π½ΡΠΌ Π² ΠΎΡΠΊΡΡΡΡΡ
Π±Π°Π·Π°Ρ
Π΄Π°Π½Π½ΡΡ
, ΠΈΠ·Π½Π°ΡΠ°Π»ΡΠ½ΠΎ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π»ΠΎΡΡ, ΡΡΠΎ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΡ Π³Π΅Π½ΠΎΠ² uPE1 ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ Π²ΡΡΠ΅, ΡΠ΅ΠΌ Π³Π΅Π½ΠΎΠ² MP. ΠΠΎΠ΄ΠΎΠ±Π½ΠΎΠ΅ ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ±ΡΠ΄ΠΈΠ»ΠΎ ΠΎΠ±ΡΠ°ΡΠΈΡΡΡΡ ΠΊ ΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΎΠΌΡ 18 Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°, ΡΠ²Π»ΡΡΡΠ΅ΠΉΡΡ ΡΠ΅Π»Π΅Π²ΠΎΠΉ Π΄Π»Ρ Π ΠΎΡΡΠΈΠΈ Π² ΠΏΡΠΎΠ΅ΠΊΡΠ΅ Β«ΠΡΠΎΡΠ΅ΠΎΠΌ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°Β». ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΡΡΠ΅ΠΌΡΡ
Π³Π΅Π½Π°Ρ
ΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΠΉ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π» ΡΡΡΠ΅ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΌΠ΅ΡΠΎΠ΄Π° ΡΠΊΡΡΡΠ°ΠΊΡΠΈΠΈ ΠΌΠ ΠΠ ΠΈ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ. ΠΠ½Π°Π»ΠΈΠ· ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ ΡΠ΅Π»Π΅Π²ΡΡ
Π³Π΅Π½ΠΎΠ² 18 Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΡ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΠ¦Π (qPCR) ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π²ΡΡΠΎΠΊΠΎΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π½ΡΠΊΡΠΈΠΏΡΠΎΠΌΠ° (Illumina HiSeq ΠΈ ONT MinION) Π΄Π»Ρ ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²ΡΡ
Π½Π°Π±ΠΎΡΠΎΠ² ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈ ΠΏΠ΅ΡΠ΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΈ HepG2 Π²ΡΡΠ²ΠΈΠ» Π±ΠΎΠ»Π΅Π΅ 250 (92%) Π±Π΅Π»ΠΎΠΊ-ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΡ
Π³Π΅Π½ΠΎΠ², Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΡΠ΅ΠΌΡΡ
Ρ
ΠΎΡΡ Π±Ρ ΠΎΠ΄Π½ΠΈΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ. ΠΠΊΡΠΏΡΠ΅ΡΡΠΈΡ Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ 50% Π±Π΅Π»ΠΎΠΊ-ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΡ
Π³Π΅Π½ΠΎΠ² Π±ΡΠ»Π° Π΄Π΅ΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½Π° Π²ΡΠ΅ΠΌΠΈ ΡΡΠ΅ΠΌΡ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ. ΠΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠΎΡΠΈΠ»Π΅ΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ Π³Π΅Π½ΠΎΠ² ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Β«Π³ΡΡΠΏΠΏΠΈΡΡΡΡΡΡΒ» Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠΈΠΏΠ° Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΈ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ², Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΠΎΡ ΡΠΏΠΎΡΠΎΠ±Π° ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠΈ (Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠΠΠ, ΠΌΠ ΠΠ). ΠΠ°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΎΡ Π²ΡΠ±ΠΎΡΠ° ΡΠΏΠΎΡΠΎΠ±Π° Π±ΠΈΠΎΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π±ΡΠ»Π° ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° Π² Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΌΠ΅Π½ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ