215 research outputs found
Innovational methods of development of intellectual labor for economyβs security
The notion βdevelopment of intellectual labor for the purpose of economyβs securityβ is viewed as development of societyβs intellectual potential that includes the protected socio-economic information, developed by a person or a group of persons. The social factors that reduce economic security and their consequences in economy are given, namely: negative dynamics of implementing new progressive technologies into production, insufficient coordination of work in the sphere of innovational development, etc. The forms of intellectual development of human resources (intellectual development of personality, control over intellectual information) are offered, which bring the countryβs economy to competitiveness and security. The traditional and innovational methods of intellectual labor development are studied (studying in universities and colleges, increase of personnelβs qualification in view of academic degrees (Ph.D., doctor of economics), as well as receipt of economic information through Internet resources, scientific publication, statistical information, etc.), as well as the methods of development of IT services and methods of prevention of intellectual diversions and violation of information confidentiality. It is offered to implement the program of equal initial possibilities for intellectual development of human resources in view of access to higher education, creative activities, as well as legal protection for everyone, etc. Analysis of implementation of innovational methods of intellectual labor development supposes planning activities in view of development of intellectual labor for the purpose of the regionβs economyβs security.peer-reviewe
Particular features of interrelation of motivation, values and sense of lifeβs meaning as subjective factors of individualizing trajectory in the system of continuous education
The relevance of the problem under study is based on the fact that, as regards methodological and theoretical aspects, the problem of value and motivational sphere is poorly elaborated regarding the interrelation between professional education and professional activity and on the empirical level there is no clear understanding of how the sense of purpose of life and own professional values is related to the professional motivation. The aim of the article is to identify the specific features of the interrelation and effects of meaning of life to the professional values and motivation. The leading method of research is questionnaire method which makes it possible to identify the following: level of sense of lifeβs purpose β method of life-meaning orientations, specific features of professional motivation β method βMotivation of professional activityβ and method βLevel of correlation between value and availability of valueβ. The article presents and discusses the results of empirical study of the interrelation between professional values, professional motivation and life-meaning orientations, as well as the effects of the level of lifeβs meaning on professional motivation. The practical value is the possibility to use the results of the research in developing programs for correcting and increasing professional motivation, as well as for developing technologies of psychology-pedagogical assistance to sense-making and professional self-identification in projecting and implementing individual educational trajectories in the continuous vocational education system. The article can be useful for specialists in professiology, teachers of technical subjects and professional consultants for forecasting professional development of a person. Β© 2016 Zavodchikov et al
Effects of a moving X-line in a time-dependent reconnection model
In the frame of magnetized plasmas, reconnection appears as an essential process for the description of plasma acceleration and changing magnetic field topology. Under the variety of reconnection regions in our solar system, we focus our research onto the Earth's magnetotail. Under certain conditions a Near Earth Neutral Line (NENL) is free to evolve in the current sheet of the magnetotail. Reconnection in this region leads to the formation of Earth- and tailward propagating plasma bulges, which can be detected by the Cluster or Geotail spacecraft. Observations give rise to the assumption that the evolved reconnection line does not provide a steady state behavior, but is propagating towards the tail (e.g., Baker et al., 2002). Based on a time-dependent variant of the Petschek model of magnetic reconnection, we present a method that includes an X-line motion and discuss the effects of such a motion. We focus our main interest on the shock structure and the magnetic field behavior, both for the switch-on and the switch-off phase
The effects of innovative changes influence on social and economic processes of the region development
Development of strategy of social and economic development of the Voronezh region till 2035 requires the careful analysis of a condition of all activities of the region, their interaction and interference. The special role in this process belongs to the higher school as the engine of knowledge, information and innovations. In case of all conservatism of an education system its task not only to give estimates and forecasts of the future, but also to serve as a leader of changes in all industries. The models realizing these tasks are a possibility of receipt of the effective instrument of increase in innovation of potential of economy of the region, forming of the environment which is adequately reflecting scientific and technical and economic challenges of modern realities and also developments of processes and technologies of transition of economy of the region to the principles of digital economy. Direct task of the higher school are increase in the amount of knowledge which is saved up by society, handling and transformation of information to knowledge, generation of new information and new knowledge, forming of the competitive specialist. In article approaches to an impact assessment of changes in the higher school on processes of social and economic development of the region, to classification of straight lines and side effects (spillover-effects) in the conditions of development of programs of a strategic development of the region are considered, the model of development of the higher school taking into account spillover-effect based on the principles of digital economy is offered. For the purpose of an impact assessment of changes in the higher school on processes of social and economic development in the region the task is set to analyse influence of various factors at each other, and also on basic factors of economic growth of the region
ΠΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ· ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΠΈ ΠΈΡ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠΎΠ² ΠΏΡΠΈ ΠΏΠ΅ΡΠΎΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ ΡΡΡΠΎΠ½ΡΠΈΡ-89,90
In radiobiology circulating T-lymphocytes are used as βnatural biodosimetersβ since the frequency of chromosomal aberrations that occur in them after radiation exposure is proportional to the accumulated dose. In addition, stable chromosomal aberrations (translocations) are detected in them years and decades after radiation exposure. Estimation of doses to circulating lymphocytes requires consideration of two dose components: the dose accumulated by the lymphocyte precursors (progenitors) in the red bone marrow; and dose accumulated by the lymphocytes in the lymphoid organs/tissues during circulation. A recently created model of T-lymphocyte exposure takes into account all these dose components, as well as the age-dependent dynamics of T-lymphocytes. The use of a model approach is especially important in assessing doses from osteotropic beta emitters (89,90Sr). They accumulate in the bone and locally expose predominately bone marrow. The dose to other lymphoid organs and tissues is much lower. The objective of this study is to evaluate the conversion factors from ingested 89,90Sr to the cumulative dose to circulating T-lymphocytes and their progenitors (DCL). For calculations, the previously developed model of T-lymphocyte exposure and new dose coefficients for the red bone marrow, estimated on the basis of a sex-and-age-dependent biokinetic model and a new dosimetric model of the human skeleton were used. As a result, the DCL values were evaluated for the first time. The age at the time of 89,90Sr intake varied from a newborn to 35 years, the age of T-lymphocyte examination (blood sampling age) was up to 75 years. The maximum values of DCL for both 90Sr and 89Sr were typical of children in the first years of life. It has been shown that doses to circulating T-lymphocytes from these radionuclides are lower than those to bone marrow, but are significantly higher than doses to other lymphoid tissues. The effect of sex on DCL is manifested for children 10 years of age and older. The area of DCL application covers the population of radioactively contaminated territories (the Urals region, the zone of the Chernobyl accident), as well as personnel of the nuclear industry enterprises.Π¦ΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ Π² ΡΠ°Π΄ΠΈΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΊΠ°ΠΊ Β«Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π±ΠΈΠΎΠ΄ΠΎΠ·ΠΈΠΌΠ΅ΡΡΡΒ», ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΡΠ°ΡΡΠΎΡΠ° Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΠ½ΡΡ
Π°Π±Π΅ΡΡΠ°ΡΠΈΠΉ, Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΡ
Π² Π½ΠΈΡ
ΠΏΠΎΡΠ»Π΅ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ, ΠΏΡΠΎΠΏΠΎΡΡΠΈΠΎΠ½Π°Π»ΡΠ½Π° Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠΉ Π΄ΠΎΠ·Π΅. ΠΠΎΠ»Π΅Π΅ ΡΠΎΠ³ΠΎ, ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΡΠ΅ Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΠ½ΡΠ΅ Π°Π±Π΅ΡΡΠ°ΡΠΈΠΈ (ΡΡΠ°Π½ΡΠ»ΠΎΠΊΠ°ΡΠΈΠΈ) ΠΎΠ±Π½Π°ΡΡΠΆΠΈΠ²Π°ΡΡΡΡ Π² Π½ΠΈΡ
ΡΠΏΡΡΡΡ Π³ΠΎΠ΄Ρ ΠΈ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ ΠΏΠΎΡΠ»Π΅ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ. ΠΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ· Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΡΡΠ΅Π±ΡΠ΅Ρ ΡΡΠ΅ΡΠ° 2 ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ²: Π΄ΠΎΠ·Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠΉ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠ°ΠΌΠΈ (ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ°ΠΌΠΈ) Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Π² ΠΊΡΠ°ΡΠ½ΠΎΠΌ ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅; Π΄ΠΎΠ·Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠΉ Π»ΠΈΠΌΡΠΎΡΠΈΡΠ°ΠΌΠΈ Π² Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΡ
ΠΎΡΠ³Π°Π½Π°Ρ
/ΡΠΊΠ°Π½ΡΡ
ΠΏΡΠΈ ΡΠΈΡΠΊΡΠ»ΡΡΠΈΠΈ. ΠΠ΅Π΄Π°Π²Π½ΠΎ ΡΠΎΠ·Π΄Π°Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΡ
Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΡΡΠΈΡΡΠ²Π°Π΅Ρ Π²ΡΠ΅ ΡΡΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ². ΠΡΠΎΠ±Π΅Π½Π½ΠΎ Π²Π°ΠΆΠ½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ Π΄ΠΎΠ· ΠΎΡ ΠΎΡΡΠ΅ΠΎΡΡΠΎΠΏΠ½ΡΡ
Π±Π΅ΡΠ°-ΠΈΠ·Π»ΡΡΠ°ΡΠ΅Π»Π΅ΠΉ (89,90Sr). ΠΠΎΡΠ»Π΅ ΠΏΠΎΠΏΠ°Π΄Π°Π½ΠΈΡ Π² ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌ ΠΎΠ½ΠΈ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°ΡΡΡΡ Π² ΠΊΠΎΡΡΠΈ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ ΠΎΠ±Π»ΡΡΠ°ΡΡ ΠΊΠΎΡΡΠ½ΡΠΉ ΠΌΠΎΠ·Π³, ΡΠ°ΠΊ ΡΡΠΎ Π΄ΠΎΠ·Π° Π½Π° Π΄ΡΡΠ³ΠΈΠ΅ Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΠ΅ ΠΎΡΠ³Π°Π½Ρ ΠΈ ΡΠΊΠ°Π½ΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π½ΠΈΠΆΠ΅. Π¦Π΅Π»ΡΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄Π° ΠΎΡ ΠΏΠ΅ΡΠΎΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ 89,90Sr ΠΊ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠΉ Π΄ΠΎΠ·Π΅ Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΠΈ ΠΈΡ
ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠΎΠ² (ΠΠL). ΠΠ»Ρ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ ΡΠ°Π½Π΅Π΅ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΠΈ Π½ΠΎΠ²ΡΠ΅ Π΄ΠΎΠ·ΠΎΠ²ΡΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ Π΄Π»Ρ ΠΊΡΠ°ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°, ΠΎΡΠ΅Π½Π΅Π½Π½ΡΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ Π±ΠΈΠΎΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ Π½ΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ·ΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΊΠ΅Π»Π΅ΡΠ° ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ°. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠΎΠ΄Π΅Π»Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ Π²ΠΏΠ΅ΡΠ²ΡΠ΅ Π±ΡΠ»ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΠL. ΠΠΎΠ·ΡΠ°ΡΡ Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ 89,90Sr Π²Π°ΡΡΠΈΡΠΎΠ²Π°Π» ΠΎΡ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΠΎΠ³ΠΎ Π΄ΠΎ 35 Π»Π΅Ρ, Π²ΠΎΠ·ΡΠ°ΡΡ ΠΎΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² (Π²ΠΎΠ·ΡΠ°ΡΡ Π·Π°Π±ΠΎΡΠ° ΠΊΡΠΎΠ²ΠΈ) β Π΄ΠΎ 75 Π»Π΅Ρ. ΠΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π΄ΠΎΠ·ΠΎΠ²ΡΡ
ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ², ΠΊΠ°ΠΊ Π΄Π»Ρ 90Sr, ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ 89Sr, Π±ΡΠ»ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Ρ Π΄Π»Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΏΠ΅ΡΠ²ΡΡ
Π»Π΅Ρ ΠΆΠΈΠ·Π½ΠΈ. ΠΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π΄ΠΎΠ·Ρ Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡΡΡ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Π΄ΠΎΠ·Ρ Π½Π° ΠΠΠ ΠΎΡ ΡΡΠΈΡ
ΡΠ°Π΄ΠΈΠΎΠ½ΡΠΊΠ»ΠΈΠ΄ΠΎΠ², Π½ΠΎ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π²ΡΡΠ΅, ΡΠ΅ΠΌ Π΄ΠΎΠ·Ρ Π½Π° Π΄ΡΡΠ³ΠΈΠ΅ Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΠ΅ ΡΠΊΠ°Π½ΠΈ. ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΠΏΠΎΠ»Π° Π½Π° ΠΠL Π²ΡΡΠ°ΠΆΠ΅Π½ΠΎ Π΄Π»Ρ Π΄Π΅ΡΠ΅ΠΉ 10 Π»Π΅Ρ ΠΈ ΡΡΠ°ΡΡΠ΅. ΠΠ±Π»Π°ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΠL ΠΎΡ
Π²Π°ΡΡΠ²Π°Π΅Ρ ΡΠ°Π±ΠΎΡΠ½ΠΈΠΊΠΎΠ² ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π°ΡΠΎΠΌΠ½ΠΎΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΠΎ Π·Π°Π³ΡΡΠ·Π½Π΅Π½Π½ΡΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ (Π£ΡΠ°Π»ΡΡΠΊΠΈΠΉ ΡΠ΅Π³ΠΈΠΎΠ½, Π·ΠΎΠ½Π° Π§Π΅ΡΠ½ΠΎΠ±ΡΠ»ΡΡΠΊΠΎΠΉ Π°Π²Π°ΡΠΈΠΈ)
Uncertainty in the Representation of Orography in Weather and Climate Models and Implications for Parameterized Drag
The representation of orographic drag remains a major source of uncertainty for numerical weather prediction (NWP) and climate models. Its accuracy depends on contributions from both the model gridβscale orography (GSO) and the subgridβscale orography (SSO). Different models use different source orography datasets and different methodologies to derive these orography fields. This study presents the first comparison of orography fields across several operational global NWP models. It also investigates the sensitivity of an orographic drag parameterisation to the interβmodel spread in SSO fields and the resulting implications for representing the northern hemisphere winter circulation in a NWP model. The interβmodel spread in both the GSO and the SSO fields is found to be considerable. This is due to differences in the underlying source dataset employed and in the manner in which this dataset is processed (in particular how it is smoothed and interpolated) to generate the model fields. The sensitivity of parameterised orographic drag to the interβmodel variability in SSO fields is shown to be considerable and dominated by the influence of two SSO fields: the standard deviation and the mean gradient of the SSO. NWP model sensitivity experiments demonstrate that the interβmodel spread in these fields is of firstβorder importance to the interβmodel spread in parameterised surface stress, and to current known systematic model biases. The revealed importance of the SSO fields supports careful reconsideration of how these fields are generated, guiding future development of orographic drag parameterisations and reβevaluation of the resolved impacts of orography on the flow
Individual Dose Calculations with Use of the Revised Techa River Dosimetry System TRDS-2009D
An updated deterministic version of the Techa River Dosimetry System (TRDS-2009D) has been developed to estimate individual doses from external exposure and intake of radionuclides for residents living on the Techa River contaminated as a result of radioactive releases from the Mayak plutonium facility in 1949β1956. The TRDS-2009D is designed as a flexible system that uses, depending on the input data for an individual, various elements of system databases to provide the dosimetric variables requested by the user. Several phases are included in the computation schedule. The first phase includes calculations with use of a common protocol for all cohort members based on village-average-intake functions and external dose rates; individual data on age, gender and history of residence are included in the first phase. This phase results in dose estimates similar to those obtained with system TRDS-2000 used previously to derive risks of health effects in the Techa River Cohort. The second phase includes refinement of individual internal doses for those persons who have had body-burden measurements or exposure parameters specific to the household where he/she lived on the Techa River. The third phase includes summation of individual doses from environmental exposure and from radiological examinations. The results of TRDS-2009D dose calculations have demonstrated for the ETRC members on average a moderate increase in RBM dose estimates (34%) and a minor increase (5%) in estimates of stomach dose. The calculations for the members of the ETROC indicated similar small changes for stomach, but significant increase in RBM doses (400%). Individual-dose assessments performed with use of TRDS-2009D have been provided to epidemiologists for exploratory risk analysis in the ETRC and ETROC. These data provide an opportunity to evaluate the possible impact on radiogenic risk of such factors as confounding exposure (environmental and medical), changes in the Techa River source-term data and the change of the approach to individual internal dose estimation (90Sr-body burden measurements and family correlations vs. village averages). Our further plan is to upgrade the TRDS-2009D and to complete a stochastic version of the dosimetry system
ΠΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ· ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΠΏΡΠΈ ΠΏΠ΅ΡΠΎΡΠ°Π»ΡΠ½ΠΎΠΌ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ ΡΠ°Π΄ΠΈΠΎΠ½ΡΠΊΠ»ΠΈΠ΄ΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΎΠΏΠ½ΠΎΡΡΠΈ
Assessment of the lymphocyte doses is relevant for solving a number of radiobiological problems, including the risk assessment of hemoblastosis (leukemia, multiple myeloma, lymphoma etc.), as well as the use of circulating lymphocytes as βnatural biodosimetersβ. The latter is because the frequency of chromosomal aberrations occurring in lymphocytes following radiation exposure is proportional to the accumulated dose. Assessment of doses to the circulating lymphocytes requires due account of: first, the dose accumulated by the lymphocyte progenitors in the red bone marrow; and second, the dose accumulated during lymphocyte circulation through lymphoid organs. The models presented by International Commission on Radiological Protection (ICRP-67, ICRP-100) allow calculating the dose for specific lymphoid organs based on known level of radionuclide intakes. A recently developed model of circulating T-lymphocyte irradiation takes into account all sources of exposure and age-related dynamics of T-lymphocytes: (1) exposure of lymphocyte progenitors in red bone marrow: (2) exposure of T-lymphocytes in the lymphoid organs, taking into account the proportion of resident lymphocytes and the residence time of circulating lymphocytes in the specific lymphoid organs. The objective of the study is to assess the dose coefficients allowing for the transition from the ingestion ofΒ 141,144Ce,Β 95Zr,Β 103,106Ru,Β 95Nb to the doses accumulated in circulating T-lymphocytes. For calculations, we used the dose coefficients from ICRP publications for specific lymphoid organs, as well as published data on the residence time of circulating lymphocytes in lymphoid organs and tissues. As a result, it was shown that the doses in circulating T-lymphocytes are higher than those in the red bone marrow, but lower than the doses to the colon wall. The dose coefficients were age dependent; the maximum values were typical for newborns. The obtained dose coefficients forΒ 141,144Ce,Β 95Zr,Β 95Nb andΒ 103,106Ru can be used to estimate the tissue and organ doses based on data on the frequency of chromosomal aberrations in peripheral blood lymphocytes.ΠΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ· Π½Π° Π»ΠΈΠΌΡΠΎΡΠΈΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½Π° Π² ΡΠ²Π΅ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΠ΄Π° ΡΠ°Π΄ΠΈΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΎΡΠ΅Π½ΠΊΡ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π³Π΅ΠΌΠΎΠ±Π»Π°ΡΡΠΎΠ·ΠΎΠ² (Π»Π΅ΠΉΠΊΠΎΠ·, ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΌΠΈΠ΅Π»ΠΎΠΌΠ°, Π»ΠΈΠΌΡΠΎΠΌΠ° ΠΈ Π΄Ρ.), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΡ
Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Β«Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π±ΠΈΠΎΠ΄ΠΎΠ·ΠΈΠΌΠ΅ΡΡΠΎΠ²Β». ΠΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ ΡΠ΅ΠΌ, ΡΡΠΎ ΡΠ°ΡΡΠΎΡΠ° Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΠ½ΡΡ
Π°Π±Π΅ΡΡΠ°ΡΠΈΠΉ, Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡΡΠΈΡ
Π² Π»ΠΈΠΌΡΠΎΡΠΈΡΠ°Ρ
ΠΏΠΎΡΠ»Π΅ Π»ΡΡΠ΅Π²ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ, ΠΏΡΠΎΠΏΠΎΡΡΠΈΠΎΠ½Π°Π»ΡΠ½Π° Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠΉ Π΄ΠΎΠ·Π΅. ΠΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ· Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΡΡΠ΅Π±ΡΠ΅Ρ ΡΡΠ΅ΡΠ° Π΄Π²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ²: Π²ΠΎ-ΠΏΠ΅ΡΠ²ΡΡ
, Π΄ΠΎΠ·Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠΉ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠ°ΠΌΠΈ (ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ°ΠΌΠΈ) Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Π² ΠΊΡΠ°ΡΠ½ΠΎΠΌ ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅; Π° Π²ΠΎ-Π²ΡΠΎΡΡΡ
, Π΄ΠΎΠ·Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΠΎΠΉ Π»ΠΈΠΌΡΠΎΡΠΈΡΠ°ΠΌΠΈ Π² Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΡ
ΠΎΡΠ³Π°Π½Π°Ρ
ΠΏΡΠΈ ΡΠΈΡΠΊΡΠ»ΡΡΠΈΠΈ. ΠΠΎΠ΄Π΅Π»ΠΈ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π² ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡ
ΠΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠΉ ΠΊΠΎΠΌΠΈΡΡΠΈΠΈ ΠΏΠΎ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°ΡΠΈΡΠ΅ (ICRP-67, ICRP-100), Π΄Π°ΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΡΠ°ΡΡΡΠΈΡΠ°ΡΡ Π΄ΠΎΠ·Ρ Π΄Π»Ρ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ ΠΎΡΠ³Π°Π½Π° ΠΏΡΠΈ ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠ½ΡΠΊΠ»ΠΈΠ΄Π°. ΠΠ΅Π΄Π°Π²Π½ΠΎ ΡΠΎΠ·Π΄Π°Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΡ
Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² ΡΡΠΈΡΡΠ²Π°Π΅Ρ Π²ΡΠ΅ ΡΠ»Π°Π³Π°Π΅ΠΌΡΠ΅ Π΄ΠΎΠ·Ρ ΠΈ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ²: 1) ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠΎΠ² Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Π² ΠΊΡΠ°ΡΠ½ΠΎΠΌ ΠΊΠΎΡΡΠ½ΠΎΠΌ ΠΌΠΎΠ·Π³Π΅; 2) ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ² Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΌ Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΠΎΠΌ ΠΎΡΠ³Π°Π½Π΅ Ρ ΡΡΠ΅ΡΠΎΠΌ Π΄ΠΎΠ»ΠΈ ΡΠ΅Π·ΠΈΠ΄Π΅Π½ΡΠ½ΡΡ
Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΡΠ΅Π±ΡΠ²Π°Π½ΠΈΡ ΡΠ°ΠΌ Π»ΠΈΠΌΡΠΎΡΠΈΡΠΎΠ². Π¦Π΅Π»ΡΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΡΠ΅Π½ΠΊΠ° Π΄ΠΎΠ·ΠΎΠ²ΡΡ
ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΉΡΠΈ ΠΎΡ ΠΏΠ΅ΡΠΎΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ I4I,I44Ce, 95Zr, 103,106Ru, 95Nb ΠΊ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½Π½ΠΎΠΉ Π΄ΠΎΠ·Π΅ Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΡ. ΠΠ»Ρ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π΄ΠΎΠ·ΠΎΠ²ΡΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΠΈΠ· ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΠΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠΉ ΠΊΠΎΠΌΠΈΡΡΠΈΠΈ ΠΏΠΎ ΡΠ°Π΄ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°ΡΠΈΡΠ΅ Π΄Π»Ρ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΡ
ΠΎΡΠ³Π°Π½ΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΠΊΠΎΡΠΎΡΠΎΠ΅ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π»ΠΈΠΌΡΠΎΡΠΈΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΡΡ Π² ΡΡΠΈΡ
Π»ΠΈΠΌΡΠΎΠΈΠ΄Π½ΡΡ
ΠΎΡΠ³Π°Π½Π°Ρ
ΠΈ ΡΠΊΠ°Π½ΡΡ
. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π΄ΠΎΠ·Ρ Π½Π° ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ Π’-Π»ΠΈΠΌΡΠΎΡΠΈΡΡ Π²ΡΡΠ΅, ΡΠ΅ΠΌ Π΄ΠΎΠ·Ρ Π½Π° ΠΊΡΠ°ΡΠ½ΡΠΉ ΠΊΠΎΡΡΠ½ΡΠΉ ΠΌΠΎΠ·Π³ ΠΎΡ ΡΡΠΈΡ
ΡΠ°Π΄ΠΈΠΎΠ½ΡΠΊΠ»ΠΈΠ΄ΠΎΠ², Π½ΠΎ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Π΄ΠΎΠ·Ρ Π½Π° ΡΡΠ΅Π½ΠΊΡ ΡΠΎΠ»ΡΡΠΎΠΉ ΠΊΠΈΡΠΊΠΈ. Π Π°ΡΡΡΠΈΡΠ°Π½Π½ΡΠ΅ Π΄ΠΎΠ·ΠΎΠ²ΡΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ Π·Π°Π²ΠΈΡΠ΅Π»ΠΈ ΠΎΡ Π²ΠΎΠ·ΡΠ°ΡΡΠ°; ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π±ΡΠ»ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½Ρ Π΄Π»Ρ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
. ΠΠ°Π½Π½ΡΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ Π΄Π»Ρ 141,144Ce, 95Zr, 95Nb ΠΈ I03,I06Ru ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π΄ΠΎΠ· Π½Π° ΠΎΡΠ³Π°Π½Ρ ΠΈ ΡΠΊΠ°Π½ΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄Π°Π½Π½ΡΡ
ΠΎ ΡΠ°ΡΡΠΎΡΠ΅ Ρ
ΡΠΎΠΌΠΎΡΠΎΠΌΠ½ΡΡ
Π°Π±Π΅ΡΡΠ°ΡΠΈΠΉ Π² Π»ΠΈΠΌΡΠΎΡΠΈΡΠ°Ρ
ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΡΠΎΠ²ΠΈ
Frequency of malignant liver formations of children (based on data from the center of pediatric oncology and haemotology from regional childrenβs clinical hospital)
The article presents the literature and its own data on the incidence of malignant neoplasms of the liver in children and some morphological aspects for the differential diagnosis of hepatoblastoma, hepatocarcinoma and sarcoma of the liver.Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ½ΡΠ΅ ΠΈ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎ ΡΠ°ΡΡΠΎΡΠ΅ Π²ΡΡΡΠ΅ΡΠ°Π΅ΠΌΠΎΡΡΠΈ Π·Π»ΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠ΅ΡΠ΅Π½ΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΈ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ Π΄Π»Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ Π³Π΅ΠΏΠ°ΡΠΎΠ±Π»Π°ΡΡΠΎΠΌΡ, Π³Π΅ΠΏΠ°ΡΠΎΠΊΠ°ΡΡΠΈΠ½ΠΎΠΌΡ ΠΈ ΡΠ°ΡΠΊΠΎΠΌΡ ΠΏΠ΅ΡΠ΅Π½
- β¦