61 research outputs found
Methodological aspects of the use of dry components of chicken eggs for feeding children with phenylketonuria
Currently, one of the most important tasks facing science and production is the creation of functional product technologies for use in different diets of the population in order to preserve and improve health, as well as reduce the risks and consequences of various diseases, including hereditary ones, such as phenylketonuria (PKU). The All-Russian Research Institute of Starch Products develops technologies for the production of low-protein starch-based products/semi-products enriched with functional ingredients and intended for therapeutic nutrition of patients with PKU. As part of the pilot production, the production of these products is organized. Purpose of work:to justify the possibility of using dry components of chicken eggs (melange, protein, yolk) to enrich low-protein starch products (noodles, vermichel, Β«spiderΒ») intended for feeding children over 3 years old with phenylketonuria;evaluate organoleptic properties and efficiency of low-protein starch products enriched in hypophenylalanine diet of patients with phenylketonuria older than 3 years
Some Peculiarities in the Dose Dependence of Separate and Combined In Vitro Cardiotoxicity Effects Induced by CdS and PbS Nanoparticles With Special Attention to Hormesis Manifestations
Spherical nanoparticles (NPs) of cadmium and lead sulfides (diameter 37 Β± 5 and 24 Β± 4 nm, respectively) have been found to be cytotoxic for HL-1 cardiomyocytes as evidenced by decrease in adenosine triphosphateβdependent luminescence. Cadmium sulfide (CdS)-NPs were discovered to produce a much greater cytotoxic impact than lead sulphide (PbS)-NP. Given the same dose range, CdS-NP reduced the number of calcium spikes. A similar effect was observed for small doses of PbS-NP. In addition to cell hypertrophy under the impact of certain doses of CdS-NP and PbS-NP, doses causing cardiomyocyte size reduction were identified. For these 3 outcomes, we obtained both monotonic βdoseβresponseβ functions (well approximated by the hyperbolic function) and different variants of non-monotonic ones for which we found adequate mathematical expressions by modifying certain models of hormesis available in the literature. Data analysis using a response surface linear model with a cross-term provided new support to the previously established postulate that a diversity of types of joint action characteristic of one and the same pair of damaging agents is one of the important assertions of the general theory of combined toxicity. Β© The Author(s) 2020
Laboratory indicators of exposure to chemical toxicants in the air of the working area as indicators of the health of workers of copper smelting enterprises
The article provides a retrospective analysis of clinical and laboratory data of 70 smelters at two enterprises: for the production of fine copper and the production of rough copper. The workers were divided into two groups according to the working conditions at the two enterprises. The first group consisted of 46 middleaged men, aged 43.34Β±9.90 years, with an average work experience of 14Β±8.80 years. The second group is 24 men, the average age is 43.54Β±9.72 years, the average experience is 16Β±6.99 years. To assess the state of health, the following methods are used: "Health passport of the employee", " Conclusion of the preliminary (periodic) medical examination (examination)". All the examined patients underwent a clinical blood test, a biochemical blood test, and a general urine test. The study of the reliability of differences showed that the workers of the copper smelting shop at the enterprise for processing fine copper had significantly higher hematological indicators: white blood cells, neutrophils, lymphocytes, and the workers at the enterprise for processing rough copper had higher red blood cells in the general analysis of urine and biochemical indicators: total bilirubin, glucose, ALT, AST. A significant correlation was established between the indicators of copper and total bilirubin, ALT, AST, cholesterol, and microhematuria in smelters at the enterprise for processing fine copper.Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎΠ»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
70 ΠΏΠ»Π°Π²ΠΈΠ»ΡΡΠΈΠΊΠΎΠ² Π½Π° Π΄Π²ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡΡ
: ΠΏΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Ρ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Ρ ΡΠ΅ΡΠ½ΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈ. Π Π°Π±ΠΎΡΠΈΠ΅ Π±ΡΠ»ΠΈ ΠΏΠΎΠ΄Π΅Π»Π΅Π½Ρ Π½Π° Π΄Π²Π΅ Π³ΡΡΠΏΠΏΡ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌΠΈ ΡΡΡΠ΄Π° Π½Π° Π΄Π²ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡΡ
. ΠΠ΅ΡΠ²Π°Ρ Π³ΡΡΠΏΠΏΠ° -ΡΠ°Π±ΠΎΡΠΈΠ΅ 46 ΠΌΡΠΆΡΠΈΠ½ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° 43,34Β±9,90 Π³ΠΎΠ΄Π°, ΡΡΠ΅Π΄Π½ΠΈΠΉ ΡΡΠ°ΠΆ 14Β±8,80 Π»Π΅Ρ. ΠΡΠΎΡΠ°Ρ Π³ΡΡΠΏΠΏΠ° - 24 ΠΌΡΠΆΡΠΈΠ½Ρ, ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 43,54Β±9,72 Π³ΠΎΠ΄Π°, ΡΡΠ΅Π΄Π½ΠΈΠΉ ΡΡΠ°ΠΆ 16Β±6,99Π»Π΅Ρ. ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ: Β«ΠΠ°ΡΠΏΠΎΡΡ Π·Π΄ΠΎΡΠΎΠ²ΡΡ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠ°Β», Β«ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ (ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ) ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΠΎΡΠΌΠΎΡΡΠ° (ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ)Β». ΠΡΠ΅ΠΌ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΠΌ Π±ΡΠ»ΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΊΡΠΎΠ²ΠΈ, Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΊΡΠΎΠ²ΠΈ, ΠΎΠ±ΡΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΌΠΎΡΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΡΠΎ Ρ ΡΠ°Π±ΠΎΡΠΈΡ
ΠΌΠ΅Π΄Π΅ΠΏΠ»Π°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Ρ
Π° Π½Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΈ ΠΏΠΎ ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ Π²ΡΡΠ΅ Π³Π΅ΠΌΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ: Π»Π΅ΠΉΠΊΠΎΡΠΈΡΡ, Π½Π΅ΠΉΡΡΠΎΡΠΈΠ»Ρ, Π»ΠΈΠΌΡΠΎΡΠΈΡΡ, Π° Ρ ΡΠ°Π±ΠΎΡΠΈΡ
Π½Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΈ ΠΏΠΎ ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠ΅ΡΠ½ΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ Π²ΡΡΠ΅ ΡΡΠΈΡΡΠΎΡΠΈΡΡ Π² ΠΎΠ±ΡΠ΅ΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΌΠΎΡΠΈ ΠΈ Π±ΠΈΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ: ΠΎΠ±ΡΠΈΠΉ Π±ΠΈΠ»ΠΈΡΡΠ±ΠΈΠ½, Π³Π»ΡΠΊΠΎΠ·Π°, ΠΠΠ’, ΠΠ‘Π’. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π° Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½Π°Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½Π°Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΌΠ΅Π΄Ρ ΠΈ ΠΎΠ±ΡΠΈΠΌ Π±ΠΈΠ»ΠΈΡΡΠ±ΠΈΠ½ΠΎΠΌ, ΠΠΠ’, ΠΠ‘Π’, Ρ
ΠΎΠ»Π΅ΡΡΠ΅ΡΠΈΠ½ΠΎΠΌ, ΠΌΠΈΠΊΡΠΎΠ³Π΅ΠΌΠ°ΡΡΡΠΈΠ΅ΠΉ Ρ ΠΏΠ»Π°Π²ΠΈΠ»ΡΡΠΈΠΊΠΎΠ² Π½Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΈ ΠΏΠΎ ΠΏΠ΅ΡΠ΅ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΌΠ΅Π΄ΠΈ
ΠΡΠ΅Π½ΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π·ΠΎΠ½Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠ΅ΠΏΠ΅ΠΉ ΠΠ°ΡΠΊΠΎΠ²Π° Π΄Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΡΠΎΠ²Π°
In conditions of global climate change, it is important to develop reliable models allowing to reliably predict plant development based on combination of the Earth remote sensing data and statistical modeling. Modeling by means of Markov chains is an efficient and at the same time simple way to predict random events, which include prediction of performance of phytomass of agricultural crops. The Earth remote sensing data obtained from the Sentinel-2 satellite with spatial resolution of 10 m were used to calculate the value of vegetation index NDVI and obtain different time rasters (2017-2019) with different degrees of vegetation cover development. To construct the matrix of probability of transition from one state to another for different levels of vegetation cover development, functionality of geoinformation systems (GIS) were used allowing to classify raster images, transform them into vector layers, and establish intersection areas. The probability matrix was later used to predict vegetation cover development using the Markov model as a predictor. The developed prediction model was tested for feasibility of the Ο2 test. The results obtained showed that both the modeled values and the actual area of vegetation distribution with different degrees of development, determined from the available raster image of 2019, correlated well with each other. The research results can be useful both in developing forecasting methods and in directly predicting the crop yield of primarily dense-cover agricultural crops, as well as for estimating performance of pastures and creating efficient pasture rotations.Π ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΡΡ
ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° Π½Π°Π΄Π΅ΠΆΠ½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΡ
ΠΏΠΎΠ»ΡΡΠ°ΡΡ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΡΠ΅ ΠΏΡΠΎΠ³Π½ΠΎΠ·Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΡΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π·ΠΎΠ½Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ΅ΠΌΠ»ΠΈ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠ΅ΠΏΠ΅ΠΉ ΠΠ°ΡΠΊΠΎΠ²Π° β ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ ΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎ ΠΏΡΠΎΡΡΠΎΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΎΠ±ΡΡΠΈΠΉ, ΠΊ ΠΊΠΎΡΠΎΡΡΠΌ ΠΎΡΠ½ΠΎΡΠΈΡΡΡ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠΈΡΠΎΠΌΠ°ΡΡΡ ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΊΡΠ»ΡΡΡΡ. ΠΠ°Π½Π½ΡΠ΅ Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π·ΠΎΠ½Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ΅ΠΌΠ»ΠΈ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠΎ ΡΠΏΡΡΠ½ΠΈΠΊΠ° Sentinel-2, Ρ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΡΠΌ ΡΠ°Π·ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ 10 ΠΌ Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΡ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ Π²Π΅Π³Π΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΈΠ½Π΄Π΅ΠΊΡΠ° NDVI ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ°ΡΡΡΠΎΠ² (2017β2019 Π³Π³.) c ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΡΠΎΠ²Π°. ΠΠ»Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠ°ΡΡΠΈΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄Π° ΠΈΠ· ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Π² Π΄ΡΡΠ³ΠΎΠ΅ Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠΎΠ²Π½Π΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ Π³Π΅ΠΎΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΊΠΎΡΠΎΡΡΡ
Π²ΡΠΏΠΎΠ»Π½ΡΠ»Π°ΡΡ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠ°ΡΡΡΠΎΠ²ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ, ΠΈΡ
ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² Π²Π΅ΠΊΡΠΎΡΠ½ΡΠ΅ ΡΠ»ΠΎΠΈ ΠΈ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ ΠΏΠ΅ΡΠ΅ΡΠ΅ΡΠ΅Π½ΠΈΡ. ΠΠ°ΡΡΠΈΡΠ° Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ΅ΠΉ Π² Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»Π°ΡΡ Π΄Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠ° ΠΌΠ°ΡΠΊΠΎΠ²ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π±ΡΠ»Π° ΠΏΡΠΎΠ²Π΅ΡΠ΅Π½Π° Π½Π° Π²ΡΠΏΠΎΠ»Π½ΠΈΠΌΠΎΡΡΡ ΡΠ΅ΡΡΠ° Ο2. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΠΊΠ°ΠΊ ΡΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ, ΡΠ°ΠΊ ΠΈ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΠ»ΠΎΡΠ°Π΄Ρ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠ°ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½Π°Ρ ΠΏΠΎ ΠΈΠΌΠ΅ΡΡΠ΅ΠΌΡΡΡ ΡΠ°ΡΡΡΠΎΠ²ΠΎΠΌΡ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ Π·Π° 2019 Π³., Ρ
ΠΎΡΠΎΡΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΡΡΡΡ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΠΎΠ»Π΅Π·Π½Ρ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΈ Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠΎΠΆΠ°ΠΉΠ½ΠΎΡΡΠΈ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ ΠΏΠ»ΠΎΡΠ½ΠΎΠΏΠΎΠΊΡΠΎΠ²Π½ΡΡ
ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΊΡΠ»ΡΡΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΠ°ΡΡΠ±ΠΈΡ ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΏΠ°ΡΡΠ±ΠΈΡΠ΅ΠΎΠ±ΠΎΡΠΎΡΠΎΠ²
New Data on Variously Directed Dose-Response Relationships and the Combined Action Types for Different Outcomes of in Vitro Nanoparticle Cytotoxicity
Spherical selenium-oxide and copper-oxide nanoparticles (SeO-NP with mean diameter 51 Β± 14Β nm and CuO-NP with mean diameter 21 Β± 4Β nm) were found to be cytotoxic for human fibroblast-like cells in vitro, as judged by decreased ATP-dependent luminescence. Compared with SeO-NP, CuO-NP produced a somewhat stronger effect of this kind. Along with cell hypertrophy developing in response to certain doses of SeO-NP and CuO-NP, our experiment also revealed doses causing a decrease in cell and cell-nucleus sizes. We observed both monotonic and different variants of nonmonotonic dose-response relationship. For the latter, we have succeeded in constructing adequate mathematical expressions based on the generalized hormesis paradigm that we had considered previously in respect of CdS-NP and PbS-NP cytotoxicity for cardiomyocites. It was demonstrated as well that combined toxicity of SeO-NP and CuO-NP is of different types depending on the outcome. Β© The Author(s) 2021.The author(s) received no financial support for the research, authorship, and/or publication of this article. The equipment of the Ural Center for Shared Use "Modern nanotechnology" Ural Federal University (Reg.& numero; 2968) was used
Monitoring of secretory immunoglobulin a in workers of a copper stealing plant in contact bwith industrial aerosols of complex composition
The purpose of the study is to determine sIgA in the oral fluid of workers of a copper smelter as a predictor of the formation of immunocompromised workers exposed to industrial aerosols.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ sIgA Π² ΡΠΎΡΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ Ρ ΡΠ°Π±ΠΎΡΠΈΡ
ΠΌΠ΅Π΄Π΅ΠΏΠ»Π°Π²ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ, ΠΊΠ°ΠΊ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠ° ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΌΡΠ½ΠΎΠΊΠΎΠΌΠΏΡΠΎΠΌΠ΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ Ρ ΡΠ°Π±ΠΎΡΠΈΡ
, ΠΏΠΎΠ΄Π²Π΅ΡΠ³Π°ΡΡΠΈΡ
ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
Π°ΡΡΠΎΠ·ΠΎΠ»Π΅ΠΉ
Parameters immune status of sicks of chronical relapsing aphtous stomatitis
This work is about research immunity at chronical relapsing aphtous stomatitis. Urgency of studying this problem is approved by increasing number of diseases and difficult treatment. The established changes of immunity of patients with CRAS let to prognose current of disease and develop methods of treatment including immunocorrection.ΠΠ°Π½Π½Π°Ρ ΡΠ°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π²ΠΎΠΏΡΠΎΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΠΎΠΊΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠΈΠ»Ρ ΠΏΡΠΈ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΈΡΡΡΡΠ΅ΠΌ Π°ΡΡΠΎΠ·Π½ΠΎΠΌ ΡΡΠΎΠΌΠ°ΡΠΈΡΠ΅. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΈΠΌΠΌΡΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΠΈ ΠΈΡ
ΡΠΎΠ»Ρ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ Π°ΡΡΠΎΠ·Π½ΠΎΠ³ΠΎ ΡΡΠΎΠΌΠ°ΡΠΈΡΠ° ΡΠ²ΡΠ·Π°Π½Π° Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΠ»Π° ΡΠ΅ΡΠΈΠ΄ΠΈΠ²ΠΎΠ², Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΡΡ Π»Π΅ΡΠ΅Π½ΠΈΡ. Π Ρ
ΠΎΠ΄Π΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ Π³Π°ΠΌΠΌΠ°-ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠΎΠ½Π°, ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ TNF-
Impact of toxicity effects of zinc oxide nanoparticles in rats within acute and subacute experiments
Introduction. Occupational air is contaminated with zinc oxide nanoparticles in the copper smelting industry, especially in the smelting of brass and copper. A wide range of toxic effects with varied clinical symptomatology is observed in zinc and its compounds. Competitive relations with many other metals, including calcium, copper, and iron, are the foundation of most cases of zinc intoxication. Long-term administration of zinc or its compounds to laboratory rodents affects enzymes, carbohydrates and mineral metabolism. Materials and methods. Subchronic intoxication with repeated intraperitoneal injections and acute low respiratory tract reaction to a single intratracheal injection of zinc nanoparticles were simulated in outbred white rats. Water suspensions of zinc oxide nanoparticles with a 30-80 nm diameter were applied in both experimental models. Upon completion of the exposure, the condition of the rats in all groups was evaluated in many generally accepted criteria for toxicity. The studentβs t-test was applied for statistical analysis of the obtained data. Results. Moderate intoxication development in a subchronic experiment is demonstrated. Homogeneous ultrastructural changes in the spleen tissue were revealed. Mitochondrial damage with partial or complete loss of crista is the most common. The fragmentation ratio of DNA was found by a statistically significant increase. A single intratracheal injection of zinc oxide nanoparticles revealed the increase in the attraction of cells capable of their phagocytosis (mainly neutrophils) into the low respiratory tract. This shows their cytotoxicity. Conclusion. Moderate general toxic and cytotoxic effects of zinc oxide nanoparticles on the rat body were identified. Β© 2021 Izdatel'stvo Meditsina. All rights reserved
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½ΠΎΠ²ΡΡ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π±Π΅Π· ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π°
Background: Specialized foods, based on aminoacids without phenilalanin, are the main source of protein for patients with phenilketonuriaΒ of all ages. Based on modern technologies, new Russian-made foods were created. They have an optimized aminoacid and micronutrientΒ composition, which increases their bioavailability.Objective: Our aim was to investigate the clinical efficiency of the new Russian-madeΒ specialized foods based on aminoacids without phenylalanine, in patients with phenylketonuria.Methods: Evaluating physical, somaticΒ and neuropsychic development as well as measuring phenylalanine blood level were carried out twice: before the prescription and afterΒ 1 month of using the new Russian-made specialized foods. The chemical composition of the ration was controlled using dietology methods.Results: 57 children at the age of 14 days to 15 years with phenylketonuria (which was detected in neonatal screening) were picked forΒ this study. A hypophenylalanine diet has been prescribed for all children no later than at the age of 3 months of life. In children of theΒ first year (I group) (among which there were children with high phenylalanine blood levels) phenylalanine concentration decreased fromΒ 5,5 (4,0; 21,0) to 4,4 (3,7; 4,7) mg/dl (p = 0,014) while using Russian-made specialized foods. In this group of children the psychomotorΒ and physical indices improved. In early childhood-, preschool- and school-aged patients phenylalanine blood level remained steady.Β The chemical composition of the ration with Russian-made foods, based on aminoacids without phenylalanine, corresponded to theΒ reference intake of main nutrients and energy.Conclusion: Hypophenylalanine diet with new Russian-made specialized foods withoutΒ phenylalanine (which is designed for phenylketonuria patients of various age groups) showed high clinical efficiency of these foods.Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡ Π±Π΅Π· ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° β Π³Π»Π°Π²Π½ΡΠΉ ΠΈΡΡΠΎΡΠ½ΠΈΠΊ Π±Π΅Π»ΠΊΠ° Π΄Π»Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
Β ΡΠ΅Π½ΠΈΠ»ΠΊΠ΅ΡΠΎΠ½ΡΡΠΈΠ΅ΠΉ Π²ΡΠ΅Ρ
Π²ΠΎΠ·ΡΠ°ΡΡΠΎΠ². ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠΎΠ·Π΄Π°Π½Ρ Π½ΠΎΠ²ΡΠ΅ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΡ Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡΠ½ΡΠΌ ΠΈ ΠΌΠΈΠΊΡΠΎΠ½ΡΡΡΠΈΠ΅Π½ΡΠ½ΡΠΌ ΡΠΎΡΡΠ°Π²ΠΎΠΌ, ΡΡΠΎ ΠΏΠΎΠ²ΡΡΠ°Π΅Ρ ΠΈΡ
Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ ΡΠ΅Π½Π½ΠΎΡΡΡ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΈΠ·ΡΡΠΈΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π½ΠΎΠ²ΡΡ
ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²Β ΠΏΠΈΡΠ°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡ Π±Π΅Π· ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° Ρ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠ΅Π½ΠΈΠ»ΠΊΠ΅ΡΠΎΠ½ΡΡΠΈΠ΅ΠΉ.ΠΠ΅ΡΠΎΠ΄Ρ: ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ Π½Π΅ΡΠ²Π½ΠΎ-ΠΏΡΠΈΡ
ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° Π² ΠΊΡΠΎΠ²ΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Π΄Π²Π°ΠΆΠ΄Ρ:Β Π΄ΠΎ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΈ ΡΠ΅ΡΠ΅Π· 1 ΠΌΠ΅Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ². Π₯ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡΠ°Π²Β ΡΠ°ΡΠΈΠΎΠ½Π° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π΄ΠΈΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ².Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°ΡΡΠ²ΠΎΠ²Π°Π»ΠΈ 57 Π΄Π΅ΡΠ΅ΠΉ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 14 Π΄Π½Π΅ΠΉ ΠΆΠΈΠ·Π½ΠΈ Π΄ΠΎ 15 Π»Π΅Ρ Ρ ΡΠ΅Π½ΠΈΠ»ΠΊΠ΅ΡΠΎΠ½ΡΡΠΈΠ΅ΠΉ, Π²ΡΡΠ²Π»Π΅Π½Π½ΠΎΠΉ Π² Ρ
ΠΎΠ΄Π΅ Π½Π΅ΠΎΠ½Π°ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΊΡΠΈΠ½ΠΈΠ½Π³Π°. ΠΠΈΠΏΠΎΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½ΠΎΠ²Π°ΡΒ Π΄ΠΈΠ΅ΡΠ° Π±ΡΠ»Π° Π½Π°Π·Π½Π°ΡΠ΅Π½Π° Π²ΡΠ΅ΠΌ Π΄Π΅ΡΡΠΌ Π½Π΅ ΠΏΠΎΠ·Π΄Π½Π΅Π΅ 3-Π³ΠΎ ΠΌΠ΅Ρ ΠΆΠΈΠ·Π½ΠΈ. Π£ Π΄Π΅ΡΠ΅ΠΉ ΠΏΠ΅ΡΠ²ΠΎΠ³ΠΎ Π³ΠΎΠ΄Π° ΠΆΠΈΠ·Π½ΠΈ (I Π³ΡΡΠΏΠΏΠ°), ΡΡΠ΅Π΄ΠΈ ΠΊΠΎΡΠΎΡΡΡ
Β Π±ΡΠ»ΠΈ ΠΌΠ»Π°Π΄Π΅Π½ΡΡ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° Π² ΠΊΡΠΎΠ²ΠΈ, Π½Π° ΡΠΎΠ½Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ Π°ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡΡ ΡΠ½ΠΈΠ·ΠΈΠ»Π°ΡΡ Ρ 5,5 (4,0; 21,0) Π΄ΠΎ 4,4 (3,7; 4,7) ΠΌΠ³/Π΄Π»Β (Ρ = 0,014), Π² ΡΡΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ Π΄Π΅ΡΠ΅ΠΉ ΡΠ°ΠΊΠΆΠ΅ ΡΠ»ΡΡΡΠΈΠ»ΠΈΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΏΡΠΈΡ
ΠΎΠΌΠΎΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈ ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ²Β ΡΠ°Π½Π½Π΅Π³ΠΎ, Π΄ΠΎΡΠΊΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΈ ΡΠΊΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° Π² ΠΊΡΠΎΠ²ΠΈ ΠΎΡΡΠ°Π²Π°Π»ΠΎΡΡ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΡΠΌ. Π₯ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉΒ ΡΠΎΡΡΠ°Π² ΡΠ°ΡΠΈΠΎΠ½Π° Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°ΠΌΠΈΠ½ΠΎΠΊΠΈΡΠ»ΠΎΡ Π±Π΅Π· ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΎΠ²Π°Π»Β ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄ΡΠ΅ΠΌΡΠΌ Π½ΠΎΡΠΌΠ°ΠΌ ΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΠΈΡΠ΅Π²ΡΡ
Π²Π΅ΡΠ΅ΡΡΠ² ΠΈ ΡΠ½Π΅ΡΠ³ΠΈΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: Π³ΠΈΠΏΠΎΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½ΠΎΠ²Π°ΡΒ Π΄ΠΈΠ΅ΡΠ° Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ Π½ΠΎΠ²ΡΡ
ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² Π±Π΅Π· ΡΠ΅Π½ΠΈΠ»Π°Π»Π°Π½ΠΈΠ½Π°, ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π½ΡΡ
Π΄Π»ΡΒ Π±ΠΎΠ»ΡΠ½ΡΡ
ΡΠ΅Π½ΠΈΠ»ΠΊΠ΅ΡΠΎΠ½ΡΡΠΈΠ΅ΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ, ΠΏΠΎΠΊΠ°Π·Π°Π»Π° ΠΈΡ
Π²ΡΡΠΎΠΊΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ
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