74 research outputs found
The influence of some model parameters on the impurity distribution implanted into substrate surface
The model for description of the initial stage of ion implantation into the surface layer of the metal is presented. The interdependence of embedded impurity concentration and deformations arising from the impact of particles on the surface is investigated. The model takes into account the particle diffusion, the finite time of mass flux relaxation; the stress appearance due to a composition change of the surface layer and a mass transfer phenomenon under a stress gradient action. It is established that the interaction of mechanical waves and concentration leads to a distribution of concentration not corresponding to a pure diffusion process. The examples of coupled problems solution for different sets of model parameters are presented
The influence of vacancy generation at the initial stage of ion implantation
The paper presents a coupled isothermal model at the initial stage of a solid surface treatment with particle beams. Mechanical stresses arising due to the interaction of particles with the surface affect the redistribution of the implanted impurity. Vacancies in the metal surface and their generation under stress are also taken into account. The kinetic law is formulated on the basis of thermodynamics of irreversible processes. The authors used numerical investigation methods. As a result, they have obtained the distributions of impurity concentration and deformations for various time moments. The authors also compare the concentration and deformation profiles with and without vacancies and study the influences of some model parameters. The effect of vacancy generation on the diffusion has been established to lead to an increase in the depth of penetration, as well as in the concentration of impurities
The mechanodiffusion model of the initial stage of particles flow introduction process in a target surface
ΠΠΠΠ«Π¨ΠΠΠΠ ΠΠΠΠΠ‘Π’ΠΠ¦ΠΠΠΠΠΠ ΠΠ ΠΠΠΠΠΠΠ’ΠΠΠ¬ΠΠΠ‘Π’Π Π ΠΠΠΠΠΠ: ΠΠ ΠΠΠΠΠΠ« Π ΠΠΠΠ ΠΠΠΠΠΠΠ―
Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ, Π² ΡΠ΅Π½ΡΡΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ β ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π²ΡΠ΄Π΅Π»ΡΡΡΡΡ ΡΠ°ΠΊΡΠΎΡΡ, ΡΠ½ΠΈΠΆΠ°ΡΡΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΡΠ΄ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ, ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡΠΈΡ
Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΡΡ ΠΏΡΠΈΡΠΎΠΊ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΡ ΠΠ΅Π»Π³ΠΎΡΠΎΠ΄ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ
Influence of Organic Matter on the Transport of Mineral Colloids in the River-Sea Transition Zone
The River-Sea Transition Zone has a significant impact on marine ecosystems, especially at present, due to increased anthropogenic pressure on rivers. The colloidal form of river runoff has not been practically studied, unlike the dissolved and suspended one, but this form is particularly important for the transport of river substances. The mechanisms of substance transfer were studied using model systems (colloidal clay, Fe(OH)3 sol), particle aggregation was estimated by changes in optical density, turbidity and particle size. The influence of the nature of dissolved organic matter (DOM) and salinity on colloid transport was studied. It was found that humic substances (HS) (recalcitrant DOM) stabilize mineral colloids with increasing salinity, while their interaction with chitosan (labile DOM) promotes flocculation and further precipitation in the mixing zone. In natural conditions, labile DOM can be released during viral lysis of bacteria or salt stress of biota. It was shown that clay particles modified with HS are flocculated more effectively than pure clays. HS can facilitate the transport of Fe(OH)3 into the outer part of the mixing zone even in the presence of flocculants. The flocculation mechanism and modern views on this process are considered
Development of the Republic of Sakha (Yakutia)'s Shadow Economy Assessment Methodology
The purpose of the article is to study the shadow economy assessment methodology. This article presents a comprehensive study of the parameters of a shadow economy, considers its essence, and defines its terminology. This study outlines the historical approach to the development of the shadow economy, both in Russia and worldwide, and gives a brief analysis of the economy of the Republic of Sakha. The authors examined the specifics of the statistical methods applied in assessing various structural elements of a shadow economy and measured and assessed the shadow economy in this region. The research conducted enabled the authors to formulate the main measures required to reduce the shadow economy. The scientific novelty is justified by the research results, which included studying and summarizing a wide range of published and unpublished materials, the examination of the initial and transitional periods of the shadow economy development in Yakutia. The article reveals the main causes and conditions that lead to the formation of the shadow economy in various sectors of the Yakutia economy. The solutions and suggestions proposed in the article are aimed at reducing the shadow economy parameters. The scientific research results are of theoretical and applied importance for public administration and authorities to improve the effectiveness of the fight against the shadow economy manifestations
Π’ΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΡ ΠΏΠ»Π°ΡΡΠΎΠ² ΠΌΠ΅Π·Π΅Π½Ρ ΠΈΠΌΠ°Π»ΡΠ½ΡΡ ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ½ΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ ΡΠ΅ΡΠ΄ΡΠ° Π΄Π»Ρ Π²Π°ΡΠΊΡΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π° ΠΏΠΎΡΠ»Π΅ ΠΈΠ½ΡΠ°ΡΠΊΡΠ°
Purpose. To develop a method of producing tissue-engineered constructs (TECs) on the basis of resident mesenchymal progenitor cells (MPC) of the human heart and to assess the effect of TECs transplantation on regenerative processes in the heart using a model of myocardial infarction in rats.Materials and methods. Human resident MPCs were isolated from the right atrial auricle of CAD patients. A similar protocol was used to obtain MPCs from Wistar rats. The MPC immunophenotype was determined by cytofluorometry. Corresponding TECs were obtained on the basis of MPC sheets of human and rats' hearts. Myocardial infarction in rats was induced by ligation of the anterior descending coronary artery followed by TEC transplantation. Euthanasia was performed 30 days after the transplantation. Histological examination of the implant and vascularization cells, morphometric analysis, tracking of the MPC differentiation ability, determination of the content of growth factors by solid-phase ELISA were carried out. Statistical evaluation of the significance of differences was performed using the Statistica 8.0 software package.Results. The analysis of the obtained cell constructs showed that they consisted of several layers of cells interacting with each other by means of connexin 43 and were characterized by good cell viability as a part TECs. The number of vessels in the peri-infarction area under the transplant from the MPC was significantly higher than that in the reference group with signs of differentiation of cardiac MPCs transplanted into endothelial vascular cells.The increased vascularization was combined with an increase in the area of viable myocardial sites and a decrease in LV cavity dilation. Analysis of the cardiac MPC secretion products showed that they produce the most important growth factors and cytokines that regulate angiogenesis and migration of stem cells.Conclusion. The strategy of using epicardial TEC transplantation based on MPC sheets seems to be a rational approach for effective delivery of viable stem/progenitor cells to the damaged myocardium. The use of TEC helps to reduce or temporarily eliminate the effect of factors that contribute to progressive heart dysfunction by local paracrine exposure and activation of the revascularization processes in the affected zone.Π¦Π΅Π»Ρ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΡΠΏΠΎΡΠΎΠ± ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠΊΠ°Π½Π΅ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ (Π’ΠΠ), Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ½ΡΡ
ΠΌΠ΅Π·Π΅Π½Ρ
ΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ (ΠΠΠ) ΡΠ΅ΡΠ΄ΡΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΠΈ Π’ΠΠ Π½Π° ΡΠ΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠ²Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ Π² ΡΠ΅ΡΠ΄ΡΠ΅ Π½Π° ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΠ½ΡΠ°ΡΠΊΡΠ° ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π° ΠΊΡΡΡΡ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π Π΅Π·ΠΈΠ΄Π΅Π½ΡΠ½ΡΠ΅ ΠΠΠ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° Π²ΡΠ΄Π΅Π»ΡΠ»ΠΈ ΠΈΠ· ΡΡΠΊΠ° ΠΏΡΠ°Π²ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΡΠ΅ΡΠ΄ΠΈΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΠΠ‘. ΠΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΠΎΠΌΡ ΠΏΡΠΎΡΠΎΠΊΠΎΠ»Ρ Π²ΡΠ΄Π΅Π»ΡΠ»ΠΈ ΠΠΠ ΠΊΡΡΡΡ Π»ΠΈΠ½ΠΈΠΈ Wistar. ΠΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΏΡΠΎΡΠΎΡΠ½ΠΎΠΉ ΡΠΈΡΠΎΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ΅Π½ΠΎΡΠΈΠΏ ΠΠΠ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠ»Π°ΡΡΠΎΠ² ΠΠΠ ΡΠ΅ΡΠ΄ΡΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ ΠΊΡΡΡ ΠΏΠΎΠ»ΡΡΠ°Π»ΠΈ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ Π’ΠΠ. ΠΠ½ΡΠ°ΡΠΊΡ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π° Ρ ΠΊΡΡΡ Π±ΡΠ» ΠΈΠ½Π΄ΡΡΠΈΡΠΎΠ²Π°Π½ ΠΏΡΡΠ΅ΠΌ ΠΏΠ΅ΡΠ΅Π²ΡΠ·ΠΊΠΈ ΠΏΠ΅ΡΠ΅Π΄Π½Π΅ΠΉ Π½ΠΈΡΡ
ΠΎΠ΄ΡΡΠ΅ΠΉ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ, ΠΏΠΎΡΠ»Π΅ ΡΠ΅Π³ΠΎ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΡ Π’ΠΠ. Π§Π΅ΡΠ΅Π· 30 Π΄Π½Π΅ΠΉ ΠΏΠΎΡΠ»Π΅ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΠΈ Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΈ ΡΠ²ΡΠ°Π½Π°Π·ΠΈΡ. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Π³ΠΈΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ ΠΎΡΠ΅Π½ΠΊΡ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈΠΌΠΏΠ»Π°Π½ΡΠ°ΡΠ° ΠΈ Π²Π°ΡΠΊΡΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ, ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·, ΡΡΠ΅ΠΊΠΈΠ½Π³ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΎΡΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΠΠ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠΎΡΡΠΎΠ²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ²Π΅ΡΠ΄ΠΎΡΠ°Π·Π½ΠΎΠ³ΠΎ ΠΠ€Π. Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΡΠ΅Π½ΠΊΡ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΠΊΠ΅ΡΠ° Statistica 8.0.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ½Π°Π»ΠΈΠ· ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΠΎΠ½ΠΈ ΡΠΎΡΡΠΎΡΡ ΠΈΠ· Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ»ΠΎΠ΅Π² ΠΊΠ»Π΅ΡΠΎΠΊ, Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΠΊΠΎΠ½Π½Π΅ΠΊΡΠΈΠ½β43, ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ Ρ
ΠΎΡΠΎΡΠ΅ΠΉ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ Π² ΡΠΎΡΡΠ°Π²Π΅ Π’ΠΠ. ΠΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠΎΡΡΠ΄ΠΎΠ² Π² ΠΏΠ΅ΡΠΈΠΈΠ½ΡΠ°ΡΠΊΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΠΎΠ΄ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΎΠΌ ΠΈΠ· ΠΠΠ Π±ΡΠ»ΠΎ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π±ΠΎΠ»ΡΡΠ΅, ΡΠ΅ΠΌ Π² ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅, Ρ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΠΈ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΠΠ ΡΠ΅ΡΠ΄ΡΠ° Π² ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΠ»Π΅ΡΠΊΠΈ ΡΠΎΡΡΠ΄ΠΎΠ².Π£Π²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ Π²Π°ΡΠΊΡΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΡΠ΅ΡΠ°Π»ΠΎΡΡ Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠ»ΠΎΡΠ°Π΄ΠΈ ΡΡΠ°ΡΡΠΊΠΎΠ² ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΠ³ΠΎ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄Π°, ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π΄ΠΈΠ»Π°ΡΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΠΎΡΡΠΈ ΠΠ. ΠΠ½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ² ΡΠ΅ΠΊΡΠ΅ΡΠΈΠΈ ΠΠΠ ΡΠ΅ΡΠ΄ΡΠ° ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΠΎΠ½ΠΈ ΠΏΡΠΎΠ΄ΡΡΠΈΡΡΡΡ Π²Π°ΠΆΠ½Π΅ΠΉΡΠΈΠ΅ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΎΡΡΠ° ΠΈ ΡΠΈΡΠΎΠΊΠΈΠ½Ρ, ΡΠ΅Π³ΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π°Π½Π³ΠΈΠΎΠ³Π΅Π½Π΅Π· ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΡ ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π‘ΡΡΠ°ΡΠ΅Π³ΠΈΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ°Π½ΡΠΏΠ»Π°Π½ΡΠ°ΡΠΈΠΈ Π’ΠΠ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠ»Π°ΡΡΠΎΠ² ΠΈΠ· ΠΠΠ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΡΠ°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠΌ Π΄Π»Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ Π΄ΠΎΡΡΠ°Π²ΠΊΠΈ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΡΡ
ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
/ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ Π² ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½Π½ΡΠΉ ΠΌΠΈΠΎΠΊΠ°ΡΠ΄. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π’ΠΠ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ ΠΈΠ»ΠΈ Π²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌΡ ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡΠΈΡ
ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΡΡΡΡΠ΅ΠΉ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ ΡΠ΅ΡΠ΄ΡΠ°, ΠΏΡΡΠ΅ΠΌ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠ°ΡΠ°ΠΊΡΠΈΠ½Π½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΈ Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠ΅Π²Π°ΡΠΊΡΠ»ΡΡΠΈΠ·Π°ΡΠΈΠΈ Π·ΠΎΠ½Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ
Evaluation of Availability of Human, Scientific, Technological and Innovative Potential in the Context of Priorities in Scientific and Technological Development of the Russian Federation
Introduction. The implementation of priorities of the scientific and technological development of the Russian Federation involves an assessment of the trends in the development of human, scientific, technological and innovation potential within the framework of these directions. In modern conditions of transformation of science and technology into key factors of Russian development, it is necessary to provide the countryβs economy with human resources capable of withstanding βbig challengesβ, but at this stage there is a shortage of highly qualified specialists in many key industries that can offer a new scientific result, taking into account the prospects for its application. The purpose of the article is to develop an approach to assess the human, scientific, technological and innovative potentials in the context of priorities in the scientific and technological development of the Russian Federation and its validation using the example of three priorities.
Materials and Methods. The materials of this study draw on Rosstat and FSMNO ; Rospatent; Web of Science and Scopus. The object of research is to assess human, scientific, technological and innovative potential in the context of priorities in scientific and technological development of the Russian Federation. In the course of the research, a multiplicative model of the impact of the availability of human, scientific, technological and innovative capacity on labour intensity was developed. In the process of research, the following research and analysis methods were used: comparison, induction and deduction method, generalisation method, chain substitution method, logical structure study, system analysis, and special methods of statistical, comparative analysis. In the methodological plan, we used the system and process appro aches in the basis of the study.
Results. The study revealed that the labour intensity in 2016 for all three priorities of the scientific and technological revolution of the Russian Federation has increased. Therefore, according to the priorities of the scientific and technological revolution of the Russian Federation, the availability of scientific, technological and innovative potential is not sufficient, which leads to a decrease in the reverse indicator of labour intensity - labour productivity in the markets within the framework of these priorities. Concerning the impact on labour intensity in all three priorities, one observes: the growth of βcollaborationsβ in fundamental research, the applied effectiveness of scientific activity, βcollaborationsβ of applied research; reduction in citations from scientific articles, low patent activity of engineering and technical workers, technological demand for patents. Therefore, against the background of emerging collaborative activity of actors in the process of research and development and the growth of the applied effectiveness of scientific activity, there is a low level of orientation of scientific and scientific-technical results to c ommercialisation.
Discussion and Conclusions. On the basis of the multiplicative model developed by the authors for assessing the impact of the provision of human, scientific, technological and innovative capacities on labor intensity, it was tested on the example of the three priorities of the scientific and technological development of the Russian Federation (a, b, c). It was revealed that the labour intensity in 2016, according to the priorities of the Scientific and Technical Council of the Russian Federation, increased, and the availability of scientific, technological and innovative potential is not sufficient, which leads to a decrease in the inverse measure of labour intensity - labour productivity in high-tech markets within the framework of these priorities. Concerning the impact on labour intensity for all three priorities, it was revealed: the growth of βcollaborationsβ of fundamental research, the applied effectiveness of scientific activity, βcollaborationsβ of applied research; reduction in citations from scientific articles, low patent activity of engineering and technical workers, technological demand for patents. It was also revealed that against the background of the emerging collaborative activity of actors in the process of research and development and the growth of the applied effectiveness of scientific activity, there is a low level of orientation of scientific and scientific-technical results to commercialisation
ΠΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ Π² ΠΊΠ»Π΅ΡΠΊΠ°Ρ ΡΠΏΠΈΠΊΠ°ΡΠ΄Π° ΠΏΡΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΎΡΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ°
Pericarditis is a group of polyetiological diseases often associated with emergence of lifeβ threatening conditions. Poor knowledge of underlying cellular mechanisms and lack of relevant approaches to investigation of pericarditis result in major challenges in diagnosis and treatment.The aim of this work was to identify changes in the activity of autophagy in epicardial cells in acute pericarditis.Materials and methods. Acute pericarditis in mice was induced by intrapericardial injection of Freund's adjuvant in the study group (n=15). The control group included animals receiving either intrapericardial injection of phosphate-buffered saline (PBS) (n=15), or sham surgery without injections (n=7). On Days 3 or 5 after surgery the animals were euthanized under isoflurane anesthesia. Immunofluorescence staining of cardiac tissue cryo-sections and immunoblotting were used to assess the intensity of inflammation and autophagy in the epicardium.Results. Inflammation and other signs of acute pericarditis resulting in thickening of some epicardial areas were found: 68+9% in the control (after PBS injection) and 124+22% after Freund's adjuvant injection (p=0.009); other signs included cellular infiltration of epicardium and multiple adhesions. The epicardial layer exhibited signs of mesothelial cells reorganization with 11-fold increase of autophagy markers LC3 II/LC3 I ratio: 0.07+0.02 in the control group (after PBS injection) and 0.84+0.07 - in acute pericarditis (p=0.04), and accumulation of collagen fibers.Conclusion. Development of acute pericarditis is accompanied by activation of epicardial mesothelial cells, intensified autophagy and development of fibrous changes in epicacardial/ subepicardial areas.ΠΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡ β ΡΡΠΎ Π³ΡΡΠΏΠΏΠ° ΠΏΠΎΠ»ΠΈΡΡΠΈΠ»ΠΎΠ³ΠΈΡΠ½ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ°ΡΡΠΎ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Ρ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΠΆΠΈΠ·Π½Π΅ΡΠ³ΡΠΎΠΆΠ°ΡΡΠΈΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ. Π‘ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΈΡ
Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ΅ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ Π² Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΌ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ΠΌ ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ° ΠΈ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ ΡΠ΅Π»Π΅Π²Π°Π½ΡΠ½ΡΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΏΡΠΈ Π΅Π³ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠΈ.Π¦Π΅Π»Ρ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ: Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ Π² ΠΊΠ»Π΅ΡΠΊΠ°Ρ
ΡΠΏΠΈΠΊΠ°ΡΠ΄Π° ΠΏΡΠΈ ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ΅.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΡΡΠΉ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡ Π² ΡΠ΅ΡΠ΄ΡΠ΅ ΠΌΡΡΠ΅ΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π»ΠΈ ΠΏΡΡΠ΅ΠΌ ΠΈΠ½ΡΡΠ°ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ 50 ΠΌΠΊΠ» Π°Π΄ΡΡΠ²Π°Π½ΡΠ° Π€ΡΠ΅ΠΉΠ½Π΄Π° (n=15). ΠΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΡΠΌ ΠΆΠΈΠ²ΠΎΡΠ½ΡΠΌ ΠΈΠ½ΡΡΠ°ΠΏΠ΅ΡΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎ Π²Π²ΠΎΠ΄ΠΈΠ»ΠΈ 50 ΠΌΠΊΠ» ΡΠ°ΡΡΠ²ΠΎΡΠ° ΡΠΎΡΡΠ°ΡΠ½ΠΎ-ΡΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ Π±ΡΡΠ΅ΡΠ° (Π€Π‘Π) (n=15) ΠΈΠ»ΠΈ Π²ΡΠΏΠΎΠ»Π½ΡΠ»ΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ Π±Π΅Π· ΠΈΠ½ΡΡΠ°ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΠ°ΠΊΠΎΠ³ΠΎ-Π»ΠΈΠ±ΠΎ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° (Π»ΠΎΠΆΠ½ΠΎΠΎΠΏΠ΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΆΠΈΠ²ΠΎΡΠ½ΡΠ΅, n=7). ΠΠ° 3-ΠΉ ΠΈΠ»ΠΈ 5-ΠΉ Π΄Π΅Π½Ρ ΠΎΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΈ ΠΏΠΎΡΠ»Π΅ ΠΈΠ½Π³Π°Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ Π½Π°ΡΠΊΠΎΡΠΈΠ·Π°ΡΠΈΠΈ ΠΈΠ·ΠΎΡΠ»ΡΡΠ°Π½ΠΎΠΌ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΠΈ ΡΠ²ΡΠ°Π½Π°Π·ΠΈΡ ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. ΠΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π²ΠΎΡΠΏΠ°Π»Π΅Π½ΠΈΡ Π² Π·ΠΎΠ½Π΅ ΡΠΏΠΈΠΊΠ°ΡΠ΄Π° ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΡ Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΈΠΌΠΌΡΠ½ΠΎΡΠ»ΡΠΎΡΠ΅ΡΡΠ΅Π½ΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠΊΡΠ°ΡΠΈΠ²Π°Π½ΠΈΡ ΠΊΡΠΈΠΎΡΡΠ΅Π·ΠΎΠ² ΡΠ΅ΡΠ΄ΡΠ° ΠΈ ΠΈΠΌΠΌΡΠ½ΠΎΠ±Π»ΠΎΡΠΈΠ½Π³Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ±Π½Π°ΡΡΠΆΠΈΠ»ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈ ΠΈ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΎΡΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ°, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Ρ ΡΡΠΎΠ»ΡΠ΅Π½ΠΈΠ΅ΠΌ Π·ΠΎΠ½Ρ ΡΠΏΠΈΠΊΠ°ΡΠ΄Π°: 68+9% Π² ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ (ΠΏΠΎΡΠ»Π΅ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ Π€Π‘Π) ΠΈ 124+22% ΠΏΠΎΡΠ»Π΅ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ Π°Π΄ΡΡΠ²Π°Π½ΡΠ° Π€ΡΠ΅ΠΉΠ½Π΄Π°, p=0,009, Π΅Π³ΠΎ ΠΏΠΎΠ»ΠΈΠΌΠΎΡΡΠ½ΠΎ-ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠ΅ΠΉ ΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠ°Π΅ΠΊ. Π ΡΠΎΡΡΠ°Π²Π΅ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ»ΠΎΡ Π½Π°Π±Π»ΡΠ΄Π°Π»ΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΠ΅ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΌΠ΅Π·ΠΎΡΠ΅Π»ΠΈΡ, 11-ΠΊΡΠ°ΡΠ½ΠΎΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ Π² Π½ΠΈΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ LC3 II/LC3 I: 0,07+0,02 Π² ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ (ΠΏΠΎΡΠ»Π΅ Π²Π²Π΅Π΄Π΅Π½ΠΈΡ Π€Π‘Π) ΠΈ 0,84+0,07 ΠΏΡΠΈ ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ΅, Ρ=0,04, Π° ΡΠ°ΠΊΠΆΠ΅ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΈΡ ΠΊΠΎΠ»Π»Π°Π³Π΅Π½ΠΎΠ²ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π Π°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ° ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π΅ΡΡΡ Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠ΅ΠΉ ΠΊΠ»Π΅ΡΠΎΠΊ ΡΠΏΠΈΠΊΠ°ΡΠ΄ΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Π·ΠΎΡΠ΅Π»ΠΈΡ, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΡΠΈΠ±ΡΠΎΠ·Π½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π·ΠΎΠ½Π΅ ΡΠΏΠΈΠΊΠ°ΡΠ΄Π°/ΡΡΠ±ΡΠΏΠΈΠΊΠ°ΡΠ΄Π°. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΌΠΎΠ΄ΡΠ»ΡΡΠΈΠΈ Π°ΡΡΠΎΡΠ°Π³ΠΈΠΈ Ρ ΡΠ΅Π»ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΎΡΡΡΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΊΠ°ΡΠ΄ΠΈΡΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ
- β¦