154 research outputs found
Multiple inverse problem
The problem of providing the required level of quality of products and/or technological processes often becomes difficult due to the fact that there is no general theory for determining optimal sets of values of primary factors, i.e. output parameters of parts and units comprising an object as well as ensuring the equivalence of object parameters to the quality requirements. This is the main reason why the development of complex systems and objects of vital importance takes several years. To create this theory, one has to overcome a number of difficulties and solve the following tasks: creation of reliable and stable mathematical models that indicate the influence of primary factors on output parameters; determination of accurate solutions when mathematical models are poorly stipulated; and creation of a method of assigning nominal values and tolerances for primary factors with regard to economical, technological and other criteria. All of the above-listed tasks are equally important. The present work is an attempt to describe a solution for this problem. The mathematically formalized aspect of the problem of providing the required level of quality has been called the βmultiple inverse problemβ
Identification of Physical and Mechanical Properties of Compound by Solving Inverse Problems
The paper presents a method of identification of physical and mechanical characteristics of the compound (calculated and experimental test method parameters). The idea of the method is that the studied material is connected with other materials, the characteristics of which are well known and differ from the characteristics of the material. Desired physical and mechanical properties should be considered unknown in the proposed calculation model, and the values of the parameters of trial constructions that can be measured accurately with experimental methods in the process of product operation, as well as characteristics of test materials and geometric dimensions of proposed structures are suggested to be placed in the same model as input information
Multiple inverse problem
The problem of providing the required level of quality of products and/or technological processes often becomes difficult due to the fact that there is no general theory for determining optimal sets of values of primary factors, i.e. output parameters of parts and units comprising an object as well as ensuring the equivalence of object parameters to the quality requirements. This is the main reason why the development of complex systems and objects of vital importance takes several years. To create this theory, one has to overcome a number of difficulties and solve the following tasks: creation of reliable and stable mathematical models that indicate the influence of primary factors on output parameters; determination of accurate solutions when mathematical models are poorly stipulated; and creation of a method of assigning nominal values and tolerances for primary factors with regard to economical, technological and other criteria. All of the above-listed tasks are equally important. The present work is an attempt to describe a solution for this problem. The mathematically formalized aspect of the problem of providing the required level of quality has been called the βmultiple inverse problemβ
Methods for testing and optimizing composite ceramics-compound joints by solving inverse problems of mechanics
The paper demonstrates methods for testing and selecting composite ceramics-compounds by solving inverse problems of mechanics. A method for the identification of physical and mechanical characteristics of the compound is proposed. The idea of the method is that the studied material is connected with other materials, the characteristics of which are well known and differ from the characteristics of the material. Desired physical and mechanical properties should be considered unknown in the proposed calculation model. Values of the parameters can be measured accurately with experimental methods in the process of product operation. Characteristics of test materials and geometric dimensions of proposed structures are suggested. The solution of the problem of optimizing the tolerances of physical and mechanical characteristics of materials is proposed. In order to ensure the strength of the structure, the geometric dimensions of the composite construction ceramic resistor-compound are suggested
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Technique for IoT cyberattacks detection based on the energy consumption analysis
Today Smart Home is a system for managing the basic life support processes of both small systems (commercial, office premises, apartments, cottages) and large automated complexes (commercial and industrial complexes). One of the important tasks to be solved by the concept of a modern Smart Home is the problem of preventing the malware spread and the usage of IoT infrastructure. One of the possible approaches for abnormal behavior of the IoT devices and IoT cyberattack detection is the monitoring of the energy consumption. Thus, an effective control and monitoring of heating, ventilation, air conditioning, more efficient use of traditional appliances and the introduction of energy-efficient equipment in the building are important to ensure and decision making in the terms of cybersecurity. In addition, improving the efficiency of energy management and monitoring is the approach to increasing effectiveness of the IoT cyberattack detection in the IoT infrastructure. The paper presents a technique for IoT attacks detection based on the IoT devices energy consumption analysis, which take into account the energy consumption related user's preference modes. With aim to improve the accuracy of IoT cyberattacks detection and localize the IoT malware on these IoT devices the IoT software opcodes sequences analysis is applied. The proposed approach allows detecting the performing of the IoT devices such attacks, for example, as DoS/DDoS with high efficiency, at a level of about 99.88% and localizing malicious IoT software on these devices with accuracy of about 99.66%
ΠΡΠ±ΠΎΡ Π²Π΅Π±-ΡΠ΅ΡΠ²ΠΈΡΠ° Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ
The analysis of features and usability of online services of four platforms Simpoll, Survio, Mentometer and Google Forms that can be taken into account by teachers when choosing them for creating an educational resource. The most significant differences between these services and the factors that contribute to the rapid content filling of online surveys for any educational activities, taking into account their features, are identified. The main features of each of the presented services are described. The paper presents the results of designing a digital event using an open survey form on the example of an ecological and mathematical interactive rapid test for students of all forms and types of education. The survey on the quality of the event showed a high 85% level of satisfaction and interest ofβ―respondents in this testing format.ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΠΈ ΡΠ΄ΠΎΠ±ΠΎΠΏΡΠΈΠΌΠ΅Π½ΠΈΠΌΠΎΡΡΠΈ ΠΎΠ½Π»Π°ΠΉΠ½-ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² ΡΠ΅ΡΡΡΠ΅Ρ
ΠΏΠ»Π°ΡΡΠΎΡΠΌ Simpoll, Survio, Mentimeter ΠΈ Google Π€ΠΎΡΠΌΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΡΠΈΠ½ΡΡΡ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΠΏΡΠ΅ΠΏΠΎΠ΄Π°Π²Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΏΡΠΈ ΠΈΡ
Π²ΡΠ±ΠΎΡΠ΅ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΡΡΠ°. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΡΠ»ΠΈΡΠΈΡ ΡΡΠΈΡ
ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² ΠΈ ΡΠ°ΠΊΡΠΎΡΡ, ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡΠΈΠ΅ Π±ΡΡΡΡΠΎΠΌΡ Π½Π°ΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ ΠΎΠ½Π»Π°ΠΉΠ½-ΠΎΠΏΡΠΎΡΠΎΠ² ΠΏΠΎ Π»ΡΠ±ΡΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡΠΌ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ. ΠΠΏΠΈΡΡΠ²Π°ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΠ· ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΡΠ΅ΡΠ²ΠΈΡΠΎΠ². ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΠΊΡΡΡΠΎΠΉ ΡΠΎΡΠΌΡ ΠΎΠΏΡΠΎΡΠ° Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΊΡΠΏΡΠ΅ΡΡ-ΡΠ΅ΡΡΠ° Π΄Π»Ρ ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ Π²ΡΠ΅Ρ
ΡΠΎΡΠΌ ΠΈ Π²ΠΈΠ΄ΠΎΠ² ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ ΠΎΠΏΡΠΎΡ ΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ ΠΏΠΎΠΊΠ°Π·Π°Π» Π²ΡΡΠΎΠΊΠΈΠΉ 85%-Π½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΡΡΠΈ ΠΈβ―Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ Π·Π°ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΠΎΠ² Π² ΡΠ°ΠΊΠΎΠΌ ΡΠΎΡΠΌΠ°ΡΠ΅ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ
Analysis of Pharmacokinetic Parameters of Acetylsalicylic Acid for Prediction of Potential Nephrotoxic Effects
Nonsteroidal anti-inflammatory drugs, including acetylsalicylic acid, can have a dose-dependent nephrotoxic effect. The study of the pharmacokinetics of acetylsalicylic acid products will contribute to timely detection and correction of side effects caused by this medicinal product.The aim of the study was to evaluate potential nephrotoxic effects following a single oral administration of 75 mg of acetylsalicylic acid, based on the analysis of the pharmacokinetic parameters.Materials and methods: the study involved 24 healthy volunteers who received 75 mg of acetylsalicylic acid (tablets) once orally. The measurement of the active metabolite of acetylsalicylic acidβsalicylic acidβin blood plasma was performed by HPLC/MS using an Agilent 1200 liquid chromatography system coupled to an Agilent 6140 tandem mass spectrometer. Agilent Eclipse XDB-C18 column (4.6 mmΓ150 mm; 5.0 ΞΌm) was used for chromatographic separation. The test procedure used in the study was validated. The results obtained were used to calculate the pharmacokinetic parameters: Cmax (maximum concentration), Tmax (time to maximum concentration), T1/2 (half-life of the drug), AUC0-t (area under the pharmacokinetic curve from 0 to the last time point of the curve), AUC0-β (total area under the pharmacokinetic curve from 0 to β), MRT (mean residence time of the drug in the blood), Kel (elimination rate constant), Cl/F (total clearance), Vd/F (apparent volume of distribution). The Statistics (22.0.0.0) software was used for statistical processing of the results.Results: T1/2 of salicylic acid in blood plasma was determined to be 1.6 Β± 0.5 h, Cmax was 4523.0 Β± 725.0 ng/mL, and Tmax was 0.98 Β± 0.4 h. AUC0βt was equal to 16183.0 Β± 3823.0 ngΓh/m, Vd/F was 12.0 Β± 3.1 L/kg, and MRT was 2.9 Β± 0.6 h.Conclusions: the analysis of the pharmacokinetic parameters demonstrated a high absorption rate, intensive distribution, and moderate elimination rate of salicylic acid (the main metabolite of acetylsalicylic acid), indicating a low risk of nephrotoxic effects associated with the studied dose of the drug
The Demoiselle crane (Anthropoides virgo) population genetic structure in Russia
The Demoiselle crane (Anthropoides virgo Linneaus, 1758) is a widespread crane species of Eurasia distributed in the steppe and semi-desert zones from southeast Ukraine eastward to Northern China. The Demoiselle crane uses two wintering grounds in Africa and India corresponding to the European and Asian breeding parts of the range subdivided into several spatially separated breeding flocks. The first estimates of the genetic diversity and differentiation have been obtained from five of them: 1) Azov & Black Sea, 2) Caspian, 3) Volga & Ural, 4) South Siberian and 5) Eastern Asian sampled across the total breeding range in Russia using data from 10 microsatellite loci and the 1 003-bp control region of mitochondrial DNA. In total, the Demoiselle crane demonstrates high level of observed (HO = 0.638 Β± 0.032) and expected (HE = 0.657 Β± 0.023) hete-rozygosity and haplotype diversity (h = 0.960). Genetic difΒferentiation among populations has shown to be weak for both the microsatellite loci (Wrightβs FST = 0.052 or AMOVA estimate 0.016) and mtDNA (FST = 0.040). No evidence of significant population structuring of the Demoiselle crane has been found using the STRUCTURE analysis of multiloΒcus microsatellite genotypes and the NETWORK grouping of control region haplotypes. Despite the haplotype diversity was high, the nucleotide diversity of the species was low (0.0033 Β± 0.0003). Negative but non-significant Tajimaβs and Fuβs tests did not suggest the recent population expansion in the Demoiselle crane evolutionary history which contrasts to other cranes of the Palearctic (the Eurasian crane Grus grus, and the Hooded crane G. monacha). These data indicate more stable conditions for the Demoiselle crane breeding groups in the steppe zone in Pleistocene as compared to boreal and subarctic breeding grounds of other crane species
ΠΠ½Π°ΡΠ΅Π½ΠΈΠ΅ ΡΠ΅Π΄ΠΎΠΊΡ-ΡΡΠ°ΡΡΡΠ° ΠΊΠΎΡΠ½Π·ΠΈΠΌΠ° Q10 ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠ° ΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΡΡΠ°
The article examines the role of ubiquinone as a redox molecule whose functions consist in electron transport in the mitochondrial respiratory chain and regeneration of endogenous antioxidants. Changes in electron redox pathways cause uncontrolled release of reactive oxygen species, which leads to oxidative stress and development of pathologies. The objective of the study was to determine the content of coenzyme Q10 and its redox status in the human body as a biomarker of oxidative stress in various pathologies. This was achieved by assessing and consolidating data on changes in concentrations of the oxidized, reduced ubiquinone forms and total ubiquinone in various pathologies. Total serum ubiquinone was reduced in patients with chronic heart failure (0.68 ΞΌmol/L) compared with the control group (0.97 ΞΌmol/L). The redox status, expressed as the [ubiquinol]/ [ubiquinone] concentration ratio, decreased in patients with coronary heart disease (0.49 Β± 0.34), diabetes (0.26 Β± 0.16) compared with the healthy subjects (1.23β1.41). A negative correlation with malonic dialdehyde was observed. The authors analysed the possibility of assessing the efficacy of statin therapy by plasma ubiquinone concentration in patients. Patients with hyperlipidemia who received statins showed a statistically significant reduction in ubiquinol concentration after taking the drug (from 0.81 to 0.46 ΞΌg/mL) and the [ubiquinone]/[total ubiquinone] ratio (from 11 to 10 %), which confirms the potential mechanism of statinassociated muscle injury development. Thus, coenzyme Q10 redox status, as well as the concentrations of oxidized, reduced and total ubiquinone can be effective biomarkers of oxidative stress in cardiovascular diseases, diabetes, as well as an important indicator in evaluating the efficacy of hyperlipidemia treatment.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΡΠΎΠ»Ρ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½Π° ΠΊΠ°ΠΊ ΡΠ΅Π΄ΠΎΠΊΡ-ΠΌΠΎΠ»Π΅ΠΊΡΠ»Ρ, ΡΡΠ½ΠΊΡΠΈΡΠΌΠΈ ΠΊΠΎΡΠΎΡΠΎΠΉ ΡΠ²Π»ΡΡΡΡΡ ΠΏΠ΅ΡΠ΅Π½ΠΎΡ ΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΎΠ² Π² Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠ΅ΠΏΠΈ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΠΈ ΠΈ ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΡ ΡΠ½Π΄ΠΎΠ³Π΅Π½Π½ΡΡ
Π°Π½ΡΠΈΠΎΠΊΡΠΈΠ΄Π°Π½ΡΠΎΠ². ΠΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠ΅Π΄ΠΎΠΊΡ-ΠΏΡΡΠ΅ΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΎΠ² Π²ΡΠ·ΡΠ²Π°Π΅Ρ Π½Π΅ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΡΠ΅ΠΌΡΡ Π²ΡΡΠ°Π±ΠΎΡΠΊΡ Π°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠΎΡΠΌ ΠΊΠΈΡΠ»ΠΎΡΠΎΠ΄Π°, ΡΡΠΎ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΌΡ ΡΡΡΠ΅ΡΡΡ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΉ. Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΊΠΎΡΠ½Π·ΠΈΠΌΠ° Q10 ΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π΅Π³ΠΎ ΡΠ΅Π΄ΠΎΠΊΡ-ΡΡΠ°ΡΡΡΠ° Π² ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ΅ ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠ° ΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΡΡΠ° ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΡ
, Π΄Π»Ρ ΡΠ΅Π³ΠΎ Π±ΡΠ»ΠΈ ΠΎΡΠ΅Π½Π΅Π½Ρ ΠΈ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΉ ΠΎΠΊΠΈΡΠ»Π΅Π½Π½ΠΎΠΉ, Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠΉ ΡΠΎΡΠΌΡ ΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½Π° ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΡ
. Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΎΠ±ΡΠ΅Π³ΠΎ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½Π° Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΊΡΠΎΠ²ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠΉ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΡΡ Π±ΡΠ»ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΎ (0,68 ΠΌΠΊΠΌΠΎΠ»Ρ/Π») ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠΎΠΉ (0,97 ΠΌΠΊΠΌΠΎΠ»Ρ/Π»). Π Π΅Π΄ΠΎΠΊΡ-ΡΡΠ°ΡΡΡ, Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΡΠΉ ΠΊΠ°ΠΊ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ [ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ»]/[ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½], ΡΠ½ΠΈΠΆΠ°Π»ΡΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ° (0,49 Β± 0,34), Π΄ΠΈΠ°Π±Π΅ΡΠΎΠΌ (0,26 Β± 0,16) ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΠΌΠΈ Π»ΠΈΡΠ°ΠΌΠΈ (1,23β1,41). ΠΡΠΈ ΡΡΠΎΠΌ Π½Π°Π±Π»ΡΠ΄Π°Π»Π°ΡΡ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½Π°Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ Ρ ΠΌΠ°Π»ΠΎΠ½ΠΎΠ²ΡΠΌ Π΄ΠΈΠ°Π»ΡΠ΄Π΅Π³ΠΈΠ΄ΠΎΠΌ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΡΠ°ΡΠΈΠ½ΠΎΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΏΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½Π° Π² ΠΏΠ»Π°Π·ΠΌΠ΅ ΠΊΡΠΎΠ²ΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ². Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π³ΠΈΠΏΠ΅ΡΠ»ΠΈΠΏΠΈΠ΄Π΅ΠΌΠΈΠ΅ΠΉ, ΠΏΠΎΠ»ΡΡΠ°Π²ΡΠΈΡ
ΡΡΠ°ΡΠΈΠ½Ρ, Π±ΡΠ»ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ»Π° ΠΏΠΎΡΠ»Π΅ ΠΏΡΠΈΠ΅ΠΌΠ° ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° (Ρ 0,81 Π΄ΠΎ 0,46 ΠΌΠΊΠ³/ΠΌΠ») ΠΈ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ [ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½]/[ΠΎΠ±ΡΠΈΠΉ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½] (Ρ 11 Π΄ΠΎ 10 %), ΡΡΠΎ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π°Π΅Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΡΠΉ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΡΠ°ΡΠΈΠ½-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΠΌΡΡΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΠ΅Π΄ΠΎΠΊΡ-ΡΡΠ°ΡΡΡ ΠΊΠΎΡΠ½Π·ΠΈΠΌΠ° Q10, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΎΠΊΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ, Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ ΡΠ±ΠΈΡ
ΠΈΠ½ΠΎΠ½Π° ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠ°ΠΌΠΈ ΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΡΡΠ° ΠΏΡΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΡ
, Π΄ΠΈΠ°Π±Π΅ΡΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π°ΠΆΠ½ΡΠΌ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΌ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ Π³ΠΈΠΏΠ΅ΡΠ»ΠΈΠΏΠΈΠ΄Π΅ΠΌΠΈΠΈ
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