103 research outputs found
Correlated adatom trimer on metal surface: A continuous time quantum Monte Carlo study
The problem of three interacting Kondo impurities is solved within a
numerically exact continuous time quantum Monte Carlo scheme. A suppression of
the Kondo resonance by interatomic exchange interactions for different cluster
geometries is investigated. It is shown that a drastic difference between the
Heisenberg and Ising cases appears for antiferromagnetically coupled adatoms.
The effects of magnetic frustrations in the adatom trimer are investigated, and
possible connections with available experimental data are discussed.Comment: 4 pages, 4 figure
Continuous Time Quantum Monte Carlo method for fermions
We present numerically exact continuous-time Quantum Monte Carlo algorithm
for fermions with a general non-local in space-time interaction. The new
determinantal grand-canonical scheme is based on a stochastic series expansion
for the partition function in the interaction representation. The method is
particularly applicable for multi-band time-dependent correlations since it
does not invoke the Hubbard-Stratonovich transformation. The test calculations
for exactly solvable models as well results for the Green function and for the
time-dependent susceptibility of the multi-band super-symmetric model with a
spin-flip interaction are discussed.Comment: 10 pages, 7 Figure
SPECIFIC AND NONSPECIFIC IMMUNOREACTIVITY AT THE EXPERIMENTAL TUMOR PROCESS
Immunization with xenogeneous tissue antigens is able to interrupt innate immune tolerance interfering immune response to autological analogues. The main part of the differentiation antigens is known to be normally expressed on the surface of numerous organs cells including testis. Thus, anticancer vaccine based on sheep testis spermatogenic epithelium lysed cells reveals notable protective effect in experiment. In this work we decided to investigate immunological aspects of the vaccination resulting in tumor mice lifetime increase. Following, testicular antigen vaccination of the tumor mice is established in addition to the lifetime increase to cause substantial helper and regulatory cells subpopulation increase to stimulate neutrophil release and to intensify tumor neutrophil infiltrate
PHENOTYPIC CHARACTERIZATION AND INTRACELLULAR CYTOKINES OF MEMORY T-CELLS IN MULTIPLE SCLEROSIS PATIENTS AFTER T-CELL VACCINATION
Multiple sclerosis (RS) patients were treated with a vaccine consisted of autological mielin-reactive T-cells. Effector memory CD8+ CD45RO+CD62L- T-cells as well as central memory CD4+ CD45RO+CD62L+ and CD8+ CD45RO+CD62L+ T-cells were significantly increased in MS patients as compared with levels in healthy individuals. T-cells vaccination had no effect on the T-cells memory subpopulation composition. However, vaccine-treated RS patients had significant (by 2 fold) reduction of relative quantity of CD4+IFNΞ³+IL-4β and CD8+IFNΞ³+IL-4β memory T-cells, as well as suppression by 6 fold of CD4+ memory cells number, which produce both kinds of cytokines
New materials based on polylactide modified with silver and carbon ions
An integrated study of poly-L-lactide (PL) synthesis and the physicochemical properties of film surfaces, both modified by silver and carbon ion implantation and also unmodified PL surfaces, has been carried out. Surface modification was done using aMevva-5.Ru metal ion source with ion implantation doses of 1Β·1014, 1Β·1015 and 1Β·1016 ion/cm2. Material characterization was done using NMR, IRS, XPS and AFM. The molecular weight (MW), micro-hardness, surface resistivity, and limiting wetting angle of both un-implanted and implanted samples were measured. The results reveal that degradation of PL macromolecules occurs during ion implantation, followed by CO or CO2 removal and MW decrease. With increasing implantation dose, the glycerol wettability of the PL surface increases but the water affinity decreases (hydrophobic behavior). After silver and carbon ion implantation into the PL samples, the surface resistivity is reduced by several orders of magnitude and a tendency to micro-hardness reductionis induced
Influence of soluble factors from the M2 phenotype macrophages on hematopoiesis in depression-like state
Chronic psychosocial stress provokes anxious behavior and depressive disorders. The longitudinal stress-induced neuroendocrine signals may alter functioning of immune (central and peripheral) organs. Increased myelopoiesis is observed in bone marrow, being detrimental to lympho- and erythropoiesis, with increased emigration of monocytic bone marrow cells to the periphery and their acquisition of βinflammatoryβ phenotype. The subsequent migration of such monocytes to the brain with differentiation into the M1 type macrophages which form inflammatory signals, and their effect upon endothelial cells and microglia leads to increased production of cytokines, chemokines, and adhesion molecules, thus accelerating accumulation of bone marrow-derived monocytes migrating to the brain. The signals from bone marrow monocytes and activated microglia promote neuroinflammatory condition which leads to behavioral changes. Current data on the presence of non-resident bone marrow macrophages in the brain of depressed patients require studies of hematopoiesis in depression-like states. Pronounced plasticity is a characteristic feature of macrophages, i.e., their ability to acquire M1 or M2 phenotype depending on the microenvironment signals. M1 exhibit high pro-inflammatory activity and have neurodestructive properties, whereas M2 cells are characterized by low pro-inflammatory activity and pronounced regenerative potential, due to the production of multiple soluble mediators and cytokines, including neurotrophic and immunoregulatory factors, anti-inflammatory substances that provide neuroprotection, stimulate neurogenesis, synaptogenesis, growth and myelinization of axons, thus theoretically substantiating an opportunity of using the potential of M2 macrophages in the treatment of depression. In this work, we studied the effect of soluble factors of human macrophages, polarized into cells with M2 phenotype under the conditions of serum deprivation, upon bone marrow hematopoiesis and peripheral blood cells in a model of stress-induced depression. We have shown enhanced differentiation of hematopoietic stem cells into the granulocyte-macrophage (CFU-GM) lineage, along with increased monocyte population in peripheral blood in the depressive-like murine model. Development of a depressive-like state in the animals was associated with reduced amounts of both erythroid precursors in bone marrow and erythrocytes/hemoglobin in peripheral blood. Intranasal administration of soluble M2 macrophage factors (M2-SFs) for 7 days was accompanied by a corrective effect on the above parameters, being significant for peripheral blood monocytes. The data obtained suggest effectiveness of the M2-SFS anti-inflammatory effects in correcting changes in hematopoiesis caused by social stress in depressive-like animals
ΠΠ°ΡΠΎΠ΄ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°)
Purpose of the study. To establish the specifics of the situation in the field of saving people in the regions of the Central Federal District, to identify the compliance of the state socio-economic policy with the real state of saving people in the regions of the Russian Federation.Materials and methods. In the process of preparing the article, the authors used the materials of the Federal State Statistics Service, the Territorial State Statistics Service for the Orel region, the works of individual scientists and public organizations on the problems of saving people. In the course of the work, statistical research methods were used: tabular and graphical methods, analysis of dynamicsβ series indexes, the grouping method.Results. The dynamics of the population in 1990-2021 was studied in the context of the federal districts of the country, including the regions of the Central Federal District, depending on individual factors (natural, mechanical movement). The study of the population in the regions of the Central Federal District showed that for the period 1990-2021, a decrease in the population was found in all regions of the Central Federal District (except Belgorodskaya, Moscow regions and Moscow). The rural population is decreasing at the fastest pace: mortality rates significantly exceed fertility rates in rural areas, the share of the working-age population is decreasing, and the share of the population older than working age is increasing.Conclusion. The problem of saving people is urgent and requires the development of an effective system for managing the quality of life of the population and regulating demographic processes in the regions of the Central Federal District: Vladimirskaya, Tverskaya, Orlovskaya, Smolenskaya, Tulskaya, Ivanovskaya; in which the decrease in population is associated with natural factors: the mortality rate significantly exceeds the birth rate. It is advisable to form regional programs to improve the organization of healthcare in the following areas: Vladimirskaya, Kalugskaya, Ivanovskaya, Orlovskaya, Tverskaya, Yaroslavskaya. To manage migration processes, reduce the labor shortage in accordance with the needs of the regionβs economy, create jobs and conditions for the development of small and medium-sized businesses, improve the quality of life of the population, develop appropriate programs in the following areas: Vladimirskaya, Orovskayal, Smolenskaya, Tambovskaya, Tverskaya.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ ΡΠΈΡΡΠ°ΡΠΈΠΈ Π² ΡΡΠ΅ΡΠ΅ Π½Π°ΡΠΎΠ΄ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°, ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°ΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠ΅ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ ΡΠ΅Π°Π»ΡΠ½ΠΎΠΌΡ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Π½Π°ΡΠΎΠ΄ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΡΡΠ°ΡΡΠΈ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, Π’Π΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΠΏΠΎ ΠΡΠ»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, ΡΡΡΠ΄Ρ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΡΠ΅Π½ΡΡ
ΠΈ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ ΠΏΠΎ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΠΌ Π½Π°ΡΠΎΠ΄ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ. Π Ρ
ΠΎΠ΄Π΅ ΡΠ°Π±ΠΎΡΡ Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΠ°Π±Π»ΠΈΡΠ½ΡΠΉ ΠΈ Π³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄Ρ, Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΠ΄ΠΎΠ² Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ, ΠΌΠ΅ΡΠΎΠ΄ Π³ΡΡΠΏΠΏΠΈΡΠΎΠ²ΠΎΠΊ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ»Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² 1990β2021 Π³Π³. Π² ΡΠ°Π·ΡΠ΅Π· ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΠΎΠΊΡΡΠ³ΠΎΠ² ΡΡΡΠ°Π½Ρ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΏΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΠΌ Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°, Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² (Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ, ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ).ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π° ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΡΠΎ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ 1990β2021 Π³Π³. ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²ΠΎ Π²ΡΠ΅Ρ
ΡΡΠ±ΡΠ΅ΠΊΡΠ°Ρ
Π¦Π€Π (ΠΊΡΠΎΠΌΠ΅ ΠΠ΅Π»Π³ΠΎΡΠΎΠ΄ΡΠΊΠΎΠΉ, ΠΠΎΡΠΊΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΡΡ
ΠΈ Π³. ΠΠΎΡΠΊΠ²Π°). ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π±ΡΡΡΡΡΠΌΠΈ ΡΠ΅ΠΌΠΏΠ°ΠΌΠΈ ΡΠΌΠ΅Π½ΡΡΠ°Π΅ΡΡΡ ΡΠ΅Π»ΡΡΠΊΠΎΠ΅ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅: ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ°ΡΡ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ Π² ΡΠ΅Π»ΡΡΠΊΠΎΠΉ ΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠΊΡΠ°ΡΠ°Π΅ΡΡΡ Π΄ΠΎΠ»Ρ ΡΡΡΠ΄ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΠ³ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ Π΄ΠΎΠ»Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΡΠ°ΡΡΠ΅ ΡΡΡΠ΄ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΎΠ±Π»Π΅ΠΌΠ° Π½Π°ΡΠΎΠ΄ΠΎΡΠ±Π΅ΡΠ΅ΠΆΠ΅Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈ ΡΡΠ΅Π±ΡΠ΅Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π¦Π΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠΊΡΡΠ³Π°: ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΡΠΊΠΎΠΉ, Π’Π²Π΅ΡΡΠΊΠΎΠΉ, ΠΡΠ»ΠΎΠ²ΡΠΊΠΎΠΉ, Π‘ΠΌΠΎΠ»Π΅Π½ΡΠΊΠΎΠΉ, Π’ΡΠ»ΡΡΠΊΠΎΠΉ, ΠΠ²Π°Π½ΠΎΠ²ΡΠΊΠΎΠΉ; Π² ΠΊΠΎΡΠΎΡΡΡ
ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ²ΡΠ·Π°Π½ΠΎ Ρ Π΅ΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΡΠ°ΠΊΡΠΎΡΠ°ΠΌΠΈ: ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΌΠ΅ΡΡΠ½ΠΎΡΡΠΈ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠΎΠΆΠ΄Π°Π΅ΠΌΠΎΡΡΠΈ. Π¦Π΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°ΡΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΠΏΠΎ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
: ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΡΠΊΠΎΠΉ, ΠΠ°Π»ΡΠΆΡΠΊΠΎΠΉ, ΠΠ²Π°Π½ΠΎΠ²ΡΠΊΠΎΠΉ, ΠΡΠ»ΠΎΠ²ΡΠΊΠΎΠΉ, Π’Π²Π΅ΡΡΠΊΠΎΠΉ, Π―ΡΠΎΡΠ»Π°Π²ΡΠΊΠΎΠΉ. ΠΠ»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ Π΄Π΅ΡΠΈΡΠΈΡΠ° ΡΠ°Π±ΠΎΡΠ΅ΠΉ ΡΠΈΠ»Ρ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΡΠΌΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°, ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠ°Π±ΠΎΡΠΈΡ
ΠΌΠ΅ΡΡ ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠ°Π»ΠΎΠ³ΠΎ ΠΈ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ Π±ΠΈΠ·Π½Π΅ΡΠ°, ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
: ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΡΠΊΠΎΠΉ, ΠΡΠ»ΠΎΠ²ΡΠΊΠΎΠΉ, Π‘ΠΌΠΎΠ»Π΅Π½ΡΠΊΠΎΠΉ, Π’Π°ΠΌΠ±ΠΎΠ²ΡΠΊΠΎΠΉ, Π’Π²Π΅ΡΡΠΊΠΎΠΉ
Self-Control of Traffic Lights and Vehicle Flows in Urban Road Networks
Based on fluid-dynamic and many-particle (car-following) simulations of
traffic flows in (urban) networks, we study the problem of coordinating
incompatible traffic flows at intersections. Inspired by the observation of
self-organized oscillations of pedestrian flows at bottlenecks [D. Helbing and
P. Moln\'ar, Phys. Eev. E 51 (1995) 4282--4286], we propose a self-organization
approach to traffic light control. The problem can be treated as multi-agent
problem with interactions between vehicles and traffic lights. Specifically,
our approach assumes a priority-based control of traffic lights by the vehicle
flows themselves, taking into account short-sighted anticipation of vehicle
flows and platoons. The considered local interactions lead to emergent
coordination patterns such as ``green waves'' and achieve an efficient,
decentralized traffic light control. While the proposed self-control adapts
flexibly to local flow conditions and often leads to non-cyclical switching
patterns with changing service sequences of different traffic flows, an almost
periodic service may evolve under certain conditions and suggests the existence
of a spontaneous synchronization of traffic lights despite the varying delays
due to variable vehicle queues and travel times. The self-organized traffic
light control is based on an optimization and a stabilization rule, each of
which performs poorly at high utilizations of the road network, while their
proper combination reaches a superior performance. The result is a considerable
reduction not only in the average travel times, but also of their variation.
Similar control approaches could be applied to the coordination of logistic and
production processes
ΠΠΎΠ·Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΠΏΡΠ½ΠΊΡΠΎΠ² Π·Π°Ρ ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ ΠΎΡΡ ΠΎΠ΄ΠΎΠ²
This paper focuses on occupational and public exposure during operation of disposal facilities receiving liquid and solid radioactive waste of various classes and provides a comparative analysis of the relevant doses: actual and calculated at the design stage. Occupational and public exposure study presented in this paper covers normal operations of a radioactive waste disposal facility receiving waste. Results: Analysis of individual and collective occupational doses was performed based on data collected during operation of near-surface disposal facilities for short-lived intermediate-, lowand very low-level waste in France, as well as nearsurface disposal facilities for long-lived waste in Russia. Further analysis of occupational and public doses calculated at the design stage was completed covering a near-surface disposal facility in Belgium and deep disposal facilities in the United Kingdom and the Nizhne-Kansk rock massive (Russia). The results show that engineering and technical solutions enable almost complete elimination of internal occupational exposure, whereas external exposure doses would fall within the range of values typical for a basic nuclear facility. Conclusion: radioactive waste disposal facilities being developed, constructed and operated meet the safety requirements effective in the Russian Federation and consistent with relevant international recommendations. It has been found that individual occupational exposure doses commensurate with those received by personnel of similar facilities abroad. Furthermore, according to the forecasts, mean individual doses for personnel during radioactive waste disposal would be an order of magnitude lower than the dose limit of 20 mSv/year. As for the public exposure, during normal operation, potential impact is virtually impossible by delaminating boundaries of a nuclear facility sanitary protection zone inside which the disposal facility is located and can be solely attributed to the use of public roads during radioactive waste transportation to the disposal facility site.Β Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΠΌΡΡ
Π½Π° ΡΡΠ°ΠΏΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄ΠΎΠ· ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΠΈ ΠΆΠΈΠ΄ΠΊΠΈΡ
ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΠΈ ΡΠ²Π΅ΡΠ΄ΡΡ
ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠ»Π°ΡΡΠΎΠ². Π ΡΠ°ΠΌΠΊΠ°Ρ
Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΡΠ°ΡΡΠΈ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π²Π°ΡΠΈΠ°Π½Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΡΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΠΏΡΠ½ΠΊΡΠ° Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΡΡ
ΠΎΠ΄ΠΎΠ². Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: Π²ΡΠΏΠΎΠ»Π½Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΈ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Π½ΡΡ
Π΄ΠΎΠ· ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΏΡΠΈ ΠΏΡΠΈΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠΌ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΠΈ ΠΊΠΎΡΠΎΡΠΊΠΎΠΆΠΈΠ²ΡΡΠΈΡ
ΡΡΠ΅Π΄Π½Π΅Π°ΠΊΡΠΈΠ²Π½ΡΡ
, Π½ΠΈΠ·ΠΊΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΈ ΠΎΡΠ΅Π½Ρ Π½ΠΈΠ·ΠΊΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² Π²ΠΎ Π€ΡΠ°Π½ΡΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΈ ΠΏΡΠΈΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠΌ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΠΈ Π΄ΠΎΠ»Π³ΠΎΠΆΠΈΠ²ΡΡΠΈΡ
ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² Π² Π ΠΎΡΡΠΈΠΈ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ΅ΠΊΡΠ½ΡΡ
ΠΎΡΠ΅Π½ΠΎΠΊ Π΄ΠΎΠ· ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π΄Π»Ρ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΠΏΡΠΈΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠ½ΠΎΠΉ ΠΈΠ·ΠΎΠ»ΡΡΠΈΠΈ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ², ΠΏΠ»Π°Π½ΠΈΡΡΠ΅ΠΌΠΎΠ³ΠΎ ΠΊ ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡ Π² ΠΠ΅Π»ΡΠ³ΠΈΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΡΠ΅ΠΌΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π³Π»ΡΠ±ΠΈΠ½Π½ΠΎΠ³ΠΎ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ Π² ΠΠ΅Π»ΠΈΠΊΠΎΠ±ΡΠΈΡΠ°Π½ΠΈΠΈ ΠΈ ΠΠΈΠΆΠ½Π΅ΠΊΠ°Π½ΡΠΊΠΎΠΌ ΠΌΠ°ΡΡΠΈΠ²Π΅ (Π ΠΎΡΡΠΈΠΉΡΠΊΠ°Ρ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΡ). Π’Π΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡΠΌΠΈ ΡΠ΄Π°Π΅ΡΡΡ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΏΠΎΠ»Π½ΠΎΡΡΡΡ ΠΈΡΠΊΠ»ΡΡΠΈΡΡ Π²Π½ΡΡΡΠ΅Π½Π½Π΅Π΅ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π°, Π° Π΄ΠΎΠ·Ρ Π²Π½Π΅ΡΠ½Π΅Π³ΠΎ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΎΠ³ΡΠ°Π½ΠΈΡΠΈΡΡ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ΠΎΠΌ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠΌ ΠΈ Π΄Π»Ρ Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠ΄Π΅ΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΏΠ»Π°Π½ΠΈΡΡΠ΅ΠΌΡΠ΅ ΠΊ ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΡ, ΡΠΎΠΎΡΡΠΆΠ°Π΅ΠΌΡΠ΅ ΠΈ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠΈΡΡΠ΅ΠΌΡΠ΅ ΠΏΡΠ½ΠΊΡΡ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ ΡΠ΄Π°Π»ΡΠ΅ΠΌΡΡ
ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΠΌ Π² Π ΠΎΡΡΠΈΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠ³Π»Π°ΡΡΡΡΠΈΠΌΡΡ Ρ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌΠΈ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΡΠΌΠΈ. ΠΡΠ΅Π½Π΅Π½ΠΎ, ΡΡΠΎ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΠ΅ Π΄ΠΎΠ·Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌΡ Ρ Π΄Π°Π½Π½ΡΠΌΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Π² Π΄ΡΡΠ³ΠΈΡ
ΡΡΡΠ°Π½Π°Ρ
. Π‘ΡΠ΅Π΄Π½ΠΈΠ΅ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΠ΅ Π΄ΠΎΠ·Ρ ΠΎΠ±Π»ΡΡΠ΅Π½ΠΈΡ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΠΏΡΠΈ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΠΈ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΡΡΡΡΡ Π½Π° ΠΏΠΎΡΡΠ΄ΠΎΠΊ Π½ΠΈΠΆΠ΅ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄Π΅Π»Π° Π΄ΠΎΠ·Ρ β 20 ΠΌΠΠ²/Π³ΠΎΠ΄. ΠΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ ΠΏΡΠΈ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ ΡΠ°Π½ΠΈΡΠ°ΡΠ½ΠΎ-Π·Π°ΡΠΈΡΠ½ΠΎΠΉ Π·ΠΎΠ½Ρ ΠΎΠ±ΡΠ΅ΠΊΡΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π°ΡΠΎΠΌΠ½ΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ, Π½Π° ΠΊΠΎΡΠΎΡΠΎΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π° ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ° ΠΏΠΎ Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ ΠΎΡΡ
ΠΎΠ΄ΠΎΠ², ΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ ΡΠΎΠ»ΡΠΊΠΎ ΠΏΡΠΈ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠ΅ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΠΏΠΎ Π΄ΠΎΡΠΎΠ³Π°ΠΌ ΠΎΠ±ΡΠ΅Π³ΠΎ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΊ ΠΌΠ΅ΡΡΡ ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ½ΠΊΡΠ° Π·Π°Ρ
ΠΎΡΠΎΠ½Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΠΎΡΡ
ΠΎΠ΄ΠΎΠ².
- β¦