488 research outputs found
Temporal model for assessing the quality of public services
The material about the use of business processes to determine the quality of receiving services in a public institution is presents in article. It is proposed to take into account when obtaining a quality not only qualitative assessments, which are connected with the expert assessment and customer opinion and quantitative related to the timing of execution of business processes by employees. Shown mathematical expressions that allow build an automated quality evaluation system
Temporal model for assessing the quality of public services
The material about the use of business processes to determine the quality of receiving services in a public institution is presents in article. It is proposed to take into account when obtaining a quality not only qualitative assessments, which are connected with the expert assessment and customer opinion and quantitative related to the timing of execution of business processes by employees. Shown mathematical expressions that allow build an automated quality evaluation system
PECULIARITIES OF PSYCHOLOGICAL COUNSELING OF WOMEN WITH REPRODUCTIVE DYSFUNCTION
The article reviews role and advantages of psychological counseling as the type of aid for women with reproductive dysfunction. We determined main peculiarities of psychological counseling of women: accounting anxiety level of primary customers and influence of emotional pain on somatic system; correction of emotional pain; negotiation of passive client's attitude; accounting time criterion; increase of effectiveness of psychological influence through the working with both husband and wife
Modeling Business Processes of the Social Insurance Fund in Information System Runa WFE
Introduction - Business processes are gradually becoming a tool that allows you at a new level to put employees or to make more efficient document management system. In these directions the main work, and presents the largest possible number of publications. However, business processes are still poorly implemented in public institutions, where it is very difficult to formalize the main existing processes. Us attempts to build a system of business processes for such state agencies as the Russian social insurance Fund (SIF), where virtually all of the processes, when different inputs have the same output: public service. The parameters of the state services (as a rule, time limits) are set by state laws and regulations. The article provides a brief overview of the FSS, the formulation of requirements to business processes, the justification of the choice of software for modeling business processes and create models of work in the system Runa WFE and optimization models one of the main business processes of the FSS. The result of the work of Runa WFE is an optimized model of the business process of FSS
Event-driven simulation of the state institution activity for the service provision based on business processes
The paper presents an approach, based on business processes, assessment and control of the state of the state institution, the social insurance Fund. The paper describes the application of business processes, such as items with clear measurable parameters that need to be determined, controlled and changed for management. The example of one of the business processes of the state institutions, which shows the ability to solve management tasks, is given. The authors of the paper demonstrate the possibility of applying the mathematical apparatus of imitative simulation for solving management tasks
WINTER HARDINESS OF BREAD WHEAT FROM THE VIR COLLECTION IN ENVIRONMENTS OF THE NORTHWESTERN AND CENTRAL BLACK SOIL REGIONS OF RUSSIA
Background. Winter wheat resistance to adverse winterΒing conditions is one of the most important adaptive characΒteristics. To obtain high yields, modern wheat cultivars should have various protective reactions. For their successΒful combination in one genotype, the availability of approΒpriate initial material is of great importance. In Russia, the accessions from the VIR collection are traditionally used as initial material for wheat breeding. The aims of the present study were (1) to evaluate winter hardiness in accessions from the VIR collection in a field test, and (2) to use the obΒtained data and those on the geographical origin of accesΒsions for making up the target sub-collection and performΒing its eco-geographical studies.Materials and methods. The initial sample for field screening contained 431 accesΒsions of common winter wheat from different regions of Russia and the former USSR, and 484 accessions from 18 foreign countries. Winter hardiness of these accessions was tested in the environmental conditions of the NorthΒwestern region (Pushkin, 59Β°41β²N 30Β°20β²E, 2006/2007, 2007/2008 and 2013/2014) and of the Central Black Soil reΒgion (Yekaterinino, 52Β°59β²N 40Β°50β²E, Tambov Province, 2007/2008 and 2008/2009). The degree of winter hardiΒness was determined in accordance with the technique deΒveloped at VIR.Results and conclusions. In 2006/2007, in Pushkin, a high and a very high degree of winter hardiness was displayed by 114 accessions with the origin from RusΒsia and the former USSR as well as by 12 accessions from foreign countries. Based on the obtained data and taking into account the diversity of the geographical origin of acΒcessions, the target sub-collection was formed, whose acΒcessions were subjected to eco-geographical two-year field studies (Pushkin, 59Β°41β²N 30Β°20β²E, 2007/2008, 2013/2014, and Yekaterinino, 52Β°59β²N 40Β°50β²N, Tambov Province, 2007/2008, 2008/2009). The Friedmanβs variance analysis has shown that variation on winter hardiness in 158 accesΒsions from the target sub-collection was determined by the environmental conditions of wheat cultivation (Ο2Ρ = 256.7; df = 4; Ο2W=0.05 = 9.5) and by genetic differences between acΒcessions (Ο2Ρ = 239.3; df = 157; Ο2W=0.05 = 187.2) at that effect of the prior was stronger than that of the latter. By using the cluster analysis (k-means algorithm), the target sub-collecΒtion structure has been revealed. Twelve accessions that overwintered well at both geographical locations during all the years of testing were identified
Production of hemo- and immunoregulatory cytokines by erythroblast antigen(+ )and glycophorin A(+ )cells from human bone marrow
BACKGROUND: Erythroid nuclear cells (ENC) of the bone marrow (BM) have not previously been considered as important producers of wide spectrum of haemo- and immunoregulatory cytokines. The aim of the current work was to confirm the production of the main hemo- and immunoregulatory cytokines in human ENC from BM. RESULTS: We used native human BM ENC in our experiments. We for the first time have shown, that the unstimulated erythroblasts (Gl A(+ )or AG-EB(+)) produced a wide spectrum of immunoregulatory cytokines. Human BM ENC produce cytokines such as interleukn (IL)-1Ξ², IL-2, IL-4, IL-6, interferon (IFN)-Ξ³, transforming growth factor (TGF)-Ξ²1, tumor necrosis factor (TNF)-Ξ± and IL-10. They can be sub-divided into glycophorin A positive (Gl A(+)) and erythroblast antigen positive (AG-EB(+)) cells. To study potential differences in cytokine expression between these subsets, ENC were isolated and purified using specific antibodies to Gl A and AG-EB and the separated cells were cultivated for 24 hours. The cytokine contents of the supernatant were measured by electrochemiluminescence immunoassay. Quantitative differences in TGF-Ξ²1 and TNF-Ξ± production were found between Gl A(+ )and AG-EB(+ )BM ENC. Furthermore, in vitro addition of erythropoietin (EPO) reduced IFN-Ξ³ and IL-2 production specifically by the AG-EB(+ )ENC. Thus, Gl A(+ )and AG-EB(+ )ENC produce IL-1Ξ², IL-2, IL-4, IL-6, IFN-Ξ³, TGF-Ξ²1 and TNF-Ξ±. Gl A(+ )ENC also produce IL-10. CONCLUSION: Cytokine production by erythroid nuclear cells suggests that these cells might be involved in regulating the proliferation and differentiation of hematopoietic and immunocompetent cells in human BM
ΠΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΡΠ½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ Π°ΠΊΡΠΈΠ²ΠΎΠ²
The object of the study is the valuation and commercialization of digital intellectual assets. The subject of the study is a conceptual model for assessing the value of digital intellectual assets, reflecting the regulatory framework, objects, subjects, principles, approaches and methods of evaluation involved in civil turnover. The relevance of the study is related to the development of the digital economy and emerging new types of digital assets, including digital intellectual assets, which require their identification and the formation of a theoretical and methodological basis for valuation. The purpose of the study is to build a conceptual model for estimating the value of digital intellectual assets for subsequent commercialization with consideration of the identified identification characteristics, substantiated principles, factors, approaches and methodological tools. The methods of comparative analysis, generalization, classification, logical, semantic and functional modeling, cost estimation are used in the paper. The trends of digitalization of the economy are analyzed, the identification features of digital intellectual assets are determined based on the study of the concepts of βdigital assetβ, βintellectual assetβ, βobject of valuationβ. A semantic model of the valuation of digital intellectual assets is proposed, illustrating the relationship of its conceptual elements. A process-functional model for estimating the value of digital intellectual assets in IDEF0 notation is constructed. It is concluded that digital intellectual assets as objects of valuation in the conditions of the current regulatory regulation are: 1) the results of intellectual activity created with the use of digital technologies, for which digital rights are fixed in the information system in the form of NFT tokens; 2) digital rights to use intellectual property objects that exist in digital or other forms. Their cost can be determined by the method of analogues, the method of discounted cash flows or the cost of creation method, depending on the purpose of the assessment, the identified factors and taking into account the principles of evaluation.ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΡΡΠΏΠ°ΡΡ ΡΠΈΡΡΠΎΠ²ΡΠ΅ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΠ΅ Π°ΠΊΡΠΈΠ²Ρ Π΄Π»Ρ ΡΠ΅Π»Π΅ΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠΈΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ. ΠΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΡΠ½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ², ΠΎΡΡΠ°ΠΆΠ°ΡΡΠ°Ρ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎ-ΠΏΡΠ°Π²ΠΎΠ²ΡΡ Π±Π°Π·Ρ, ΠΎΠ±ΡΠ΅ΠΊΡΡ, ΡΡΠ±ΡΠ΅ΠΊΡΡ, ΠΏΡΠΈΠ½ΡΠΈΠΏΡ, ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π² ΡΠ΅Π»ΡΡ
Π²ΠΎΠ²Π»Π΅ΡΠ΅Π½ΠΈΡ Π² Π³ΡΠ°ΠΆΠ΄Π°Π½ΡΠΊΠΈΠΉ ΠΎΠ±ΠΎΡΠΎΡ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²ΡΠ·Π°Π½Π° Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΠΌΠΈ Π½ΠΎΠ²ΡΠΌΠΈ Π²ΠΈΠ΄Π°ΠΌΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ², Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ², ΡΡΠΎ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΈΡ
ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ Β ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΠΎΡΠ΅ΡΠΈΠΊΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°Π·ΠΈΡΠ° ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² Β ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΈ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π΄Π»Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΉ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠΈΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Ρ Β ΡΡΠ΅ΡΠΎΠΌ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ, ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ², ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ² ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΡ, ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ, Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΠΈΡΡΠΎΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΠΏΠΎΠ½ΡΡΠΈΠΉ Β«ΡΠΈΡΡΠΎΠ²ΠΎΠΉ Π°ΠΊΡΠΈΠ²Β», Β«ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΠΉ Π°ΠΊΡΠΈΠ²Β», Β«ΠΎΠ±ΡΠ΅ΠΊΡ ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈΒ». ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ², ΠΈΠ»Π»ΡΡΡΡΠΈΡΡΡΡΠ°Ρ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ Π΅Π΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ². ΠΠΎΡΡΡΠΎΠ΅Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΠ½ΠΎ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π² Π½ΠΎΡΠ°ΡΠΈΠΈ IDEF0. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ ΡΠΈΡΡΠΎΠ²ΡΠ΅ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΠ΅ Π°ΠΊΡΠΈΠ²Ρ ΠΊΠ°ΠΊ ΠΎΠ±ΡΠ΅ΠΊΡΡ ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠ΅Π³ΠΎ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΎ-ΠΏΡΠ°Π²ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ: 1) ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠ·Π΄Π°Π½Π½ΡΠ΅ Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΡΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, Π½Π° ΠΊΠΎΡΠΎΡΡΠ΅ Π·Π°ΡΠΈΠΊΡΠΈΡΠΎΠ²Π°Π½Ρ ΡΠΈΡΡΠΎΠ²ΡΠ΅ ΠΏΡΠ°Π²Π° Π² ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ Π² ΡΠΎΡΠΌΠ΅ NFT-ΡΠΎΠΊΠ΅Π½ΠΎΠ²; 2) ΡΠΈΡΡΠΎΠ²ΡΠ΅ ΠΏΡΠ°Π²Π° Π½Π° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ, ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
Π² ΡΠΈΡΡΠΎΠ²ΠΎΠΉ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠΉ ΡΠΎΡΠΌΠ΅. ΠΡ
ΡΡΠΎΠΈΠΌΠΎΡΡΡ ΠΌΠΎΠΆΠ΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°Π½Π°Π»ΠΎΠ³ΠΎΠ², ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π΄ΠΈΡΠΊΠΎΠ½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π΅Π½Π΅ΠΆΠ½ΡΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ² ΠΈΠ»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠ΅Π»ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ, Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ² ΠΎΡΠ΅Π½ΠΊΠΈ
Comparative effects of blue light and red light on the rates of oxygen metabolism and heat production in wheat seedlings stressed by heat shock
The effect of blue light (BL, bandwidth 420-460 nm) and red light (RL, bandwidth 620-640 nm) on the rates of consumption and evolution of oxygen and rate of heat production of plants after action of high temperature (45 Β°C during 30 min) was studied. The rate of heat production was used as indicator of plant resistance to the action of unfavourable factors, since this index reflects the physiological condition. The object of investigation were the seedlings of summer wheat. The blue light compared with red light had favourable effects on the rates of oxygen metabolism. The rate of O2 evolution of wheat seedlings with blue light was higher by 50% (optimal temperature) and by 60% (after action 45 Β°C temperature) as seedlings with red light. The rate of oxygen consumption of seedlings treated by high temperature with blue light was inhibited by 40-45% as control, whereas this index was decreased by 75% in plants after temperature shock with red light. Heat production rate of wheat seedlings grown in blue light was higher than the heat production rate of seedlings grown with red light. Β© 2002 Elsevier Science B.V. All rights reserved
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