2,517 research outputs found
Electromagnetohydrodynamics
Interaction of plasma flow with a magnetic obstacle is a frequent process in
many laser-plasma experiments in the laboratory, and is an important event in
many astrophysical objects such as X-ray pulsars, AGN, GRB etc. As a result of
plasma penetration through the magnetic wall we could expect a formation of
magnetohydrodynamic (MHD) shock waves, as well as of electromagnetic (EM) ones.
To study these processes we need equations following from hydrodynamic and
Maxwell equations, which in the limiting situations describe MHD and EM waves,
and are valid for the general case, when both phenomena are present. Here we
derive a set of equations following from hydrodynamic and Maxwell equations,
without neglecting a displacement current, needed for a formation of EM waves.
We find a dispersion equation describing a propagation of a weak linear wave in
a magnetized plasma along the axis, perpendicular to the magnetic field
, which contains MHD, hydrodynamic and EM waves in the limiting cases,
and some new types of behaviour in a general situation. We consider a plasma
with zero viscosity and heat conductivity, but with a finite electric
conductivity with a scalar coefficient.Comment: 8 papers, 8 figures, 1 table, to be submitted in PR
Multi-agent simulation of the processing shop
Multi-agent model is applied for the transformation of resources used for research companies or parts of companies in the presence of high load or idle assets in production, realized by means of the metallurgical enterprise information system. The following solution has been found as a result of experiments. There are needs in increase the number of heat-treatment furnaces and reduction the number of staff.ΠΡΠ»ΡΡΠΈΠ°Π³Π΅Π½ΡΠ½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΡΡΡΠΎΠ² ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΡΡΡ Π΄Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈΠ»ΠΈ ΡΠ°ΡΡΠ΅ΠΉ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π½Π° Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΏΡΠΎΡΡΠΎΠ΅Π² ΠΈΠ»ΠΈ Π²ΡΡΠΎΠΊΠΎΠΉ Π·Π°Π³ΡΡΠΆΠ΅Π½Π½ΠΎΡΡΠΈ ΡΡΠ΅Π΄ΡΡΠ² Π² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅, ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π²ΡΠΏΡΡΠΊΠ° ΠΌΠ΅ΡΠ°Π»Π»ΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Ρ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΡ ΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΏΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΠ΅ΠΌΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ²: Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠ²Π΅Π»ΠΈΡΠΈΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅ΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΉ ΠΈ ΡΠ½ΠΈΠ·ΠΈΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΏΠ΅ΡΡΠΎΠ½Π°Π»Π° ΡΠ΅Ρ
Π°
Neutron star composition in strong magnetic fields
We study the problem of neutron star composition in the presence of a strong
magnetic field. The effects of the anomalous magnetic moments of both nucleons
and electrons are investigated in relativistic mean field calculations for a
-equilibrium system. Since neutrons are fully spin polarized in a large
field, generally speaking, the proton fraction can never exceed the field free
case. An extremely strong magnetic field may lead to a pure neutron matter
instead of a proton-rich matter.Comment: 12 pages, 3 postscript files include
Characterization of extrasolar terrestrial planets from diurnal photometric variability
The detection of massive planets orbiting nearby stars has become almost
routine, but current techniques are as yet unable to detect terrestrial planets
with masses comparable to the Earth's. Future space-based observatories to
detect Earth-like planets are being planned. Terrestrial planets orbiting in
the habitable zones of stars-where planetary surface conditions are compatible
with the presence of liquid water-are of enormous interest because they might
have global environments similar to Earth's and even harbor life. The light
scattered by such a planet will vary in intensity and colour as the planet
rotates; the resulting light curve will contain information about the planet's
properties. Here we report a model that predicts features that should be
discernible in light curves obtained by low-precision photometry. For
extrasolar planets similar to Earth we expect daily flux variations up to
hundreds of percent, depending sensitively on ice and cloud cover. Qualitative
changes in surface or climate generate significant changes in the predicted
light curves. This work suggests that the meteorological variability and the
rotation period of an Earth-like planet could be derived from photometric
observations. Other properties such as the composition of the surface (e.g.,
ocean versus land fraction), climate indicators (for example ice and cloud
cover), and perhaps even signatures of Earth-like plant life could be
constrained or possibly, with further study, even uniquely determined.Comment: Published in Nature. 9 pages including 3 figure
Basic Operator Method in 3D and Heat Transfer Modelling in Neutron Star Crust
Basic operator method has proven itself well in numerical simulations of various two-dimensional astrophysical problems. In this work this method was extended to a 3D case. Grid analogues of continuous vector operators are obtained using the cell-node approximation. 3D Poisson equation for the Newtonian gravitational potential was solved as a test problem. Method is applied to anisotropic heat transfer simulation in a neutron star crust.ΠΠ΅ΡΠΎΠ΄ ΠΎΠΏΠΎΡΠ½ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΠΎΠ² Ρ
ΠΎΡΠΎΡΠΎ ΠΏΡΠΎΡΠ²ΠΈΠ» ΡΠ΅Π±Ρ ΠΏΡΠΈ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠΌ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π΄Π²ΡΠΌΠ΅ΡΠ½ΡΡ
Π°ΡΡΡΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π΄Π°Ρ. Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΡΡΠΎΡ ΠΌΠ΅ΡΠΎΠ΄ Π±ΡΠ» ΡΠ°ΡΡΠΈΡΠ΅Π½ Π½Π° ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΡΠΉ ΡΠ»ΡΡΠ°ΠΉ. Π’ΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΡΠ΅ ΡΠ΅ΡΠΎΡΠ½ΡΠ΅ Π°Π½Π°Π»ΠΎΠ³ΠΈ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΡ
Π²Π΅ΠΊΡΠΎΡΠ½ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΎΡΠΎΠ² ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΡΠ΅Π΅ΡΠ½ΠΎ-ΡΠ·Π»ΠΎΠ²ΠΎΠΉ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ. Π’ΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΠΎΠ΅ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΠΡΠ°ΡΡΠΎΠ½Π° Π΄Π»Ρ Π³ΡΠ°Π²ΠΈΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° ΡΠ΅ΡΠ΅Π½ΠΎ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΠ΅ΡΡΠΎΠ²ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ. ΠΠ΅ΡΠΎΠ΄ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ ΠΊ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π°Π½ΠΈΠ·Π°ΡΡΠΎΠΏΠ½ΠΎΠΉ ΡΠ΅ΠΏΠ»ΠΎΠΏΡΠΎΠ²ΠΎΠ΄Π½ΠΎΡΡΠΈ Π² ΠΊΠΎΡΠ΅ Π½Π΅ΠΉΡΡΠΎΠ½Π½ΠΎΠΉ Π·Π²Π΅Π·Π΄Ρ
ΠΡΠ΅Π½ΠΊΠ° ΡΠΈΡΠΊΠ° ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°
The aim of the study was to develop a risk model for upper gastrointestinal tract (GIT) bleeding in patients with brain injury of various etiologies.Material and methods. Case histories of 33 patients were included into a retrospective descriptive study: 22 patients had severe brain injury of various etiologies, and 11 patients after elective surgery for cerebral aneurisms with uneventful postop period were taken for comparison. The patients were grouped in two arms: Group 1 included patients with obvious signs of GIT bleeding (N=11) and Group 2 had no obvious signs of bleeding (N=22). Complaints, life and medical history, comorbidities, specialistsβ exams data, results of laboratory and instrumental examinations, therapeutic regimens were analyzed. Presence of disproportionate pathologic sympathetic overreaction to acute brain injury, i.e., paroxysmal sympathetic hyperactivity (PSH), was assessed on admission and on Days 1, 3 and 5 after brain injury.Β Results. A model for upper GIT bleeding risk assessment was designed using logistic regression. The resulting model gains high quality rating: ΟΒ²=33,78, 3; p<0,001; OR=315. The risk of upper GIT bleeding exceeded 95% in patients having combination of 4 symptoms in their medical history (presence of PSH on Day 1 after acute brain injury; Karnofsky performance scale index 75; lack of neurovegetative stabilization in the acute period of brain injury; gastric and/or duodenal ulcer).Conclusion. Determining the risk factors thresholds enables stratification of patients by the risk for upper GIT bleeding. Modification of the identified four risk factors (presence of PSH on Day 1after acute brain injury; Karnofsky performance scale index 75; lack of neurovegetative stabilization in the acute period of brain injury; gastric and/or duodenal ulcer) will probably reduce the occurrence of upper GIT bleeding in patients with acute brane injury of various etiology.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ Π΄Π²Π΅Π½Π°Π΄ΡΠ°ΡΠΈΠΏΠ΅ΡΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΠΊΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ.Β ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΊΠ»ΡΡΠΈΠ»ΠΈ ΠΈΡΡΠΎΡΠΈΠΈ Π±ΠΎΠ»Π΅Π·Π½ΠΈ 33-Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ²: 22 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² β Ρ ΡΡΠΆΠ΅Π»ΡΠΌ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ, Π΄Π»Ρ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ, 11 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² β Ρ Π°Π½Π΅Π²ΡΠΈΠ·ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠΎΡΡΠ΄ΠΎΠ² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ Π½Π΅ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½Π½ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΏΠΎΡΠ»Π΅ ΠΏΠ»Π°Π½ΠΎΠ²ΡΡ
Π½Π΅ΠΉΡΠΎΡ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ². ΠΡΠ΅Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠ°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° 2 Π³ΡΡΠΏΠΏΡ: Ρ ΡΠ²Π½ΡΠΌΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· ΠΠΠ’ (n=11) ΠΈ Π±Π΅Π· ΡΠ²Π½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ (n=22). ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π»ΠΈ ΠΆΠ°Π»ΠΎΠ±Ρ, Π°Π½Π°ΠΌΠ½Π΅Π· Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΈ ΠΆΠΈΠ·Π½ΠΈ, ΡΠΎΠΏΡΡΡΡΠ²ΡΡΡΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ, Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΠΌΠΎΡΡΠΎΠ² ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ², ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. Π€ΡΠ½ΠΊΡΠΈΠΈ Π²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡΠΌ ΠΏΠ°ΡΠΎΠΊΡΠΈΠ·ΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΠΌΠΏΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π³ΠΈΠΏΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ (ΠΠ‘ΠΠ) ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°Ρ, Π½Π° 1-Π΅, 3-ΠΈ ΠΈ 5-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ ΠΠ.Β Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π‘ΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΠΏΠΎΡΡΡΠΎΠΈΠ»ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ²Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ°. ΠΠΎΠ»ΡΡΠ΅Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΎΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π°: ΟΒ²=33,78, 3; p<0,001; OR=315. ΠΡΠΈ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅ 4-Ρ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² (ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΠ‘ΠΠ Π² 1-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΠΈΠ½Π΄Π΅ΠΊΡ ΠΠ°ΡΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΡΠ·Π²Π΅Π½Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ Π΄Π²Π΅Π½Π°Π΄ΡΠ°ΡΠΈΠΏΠ΅ΡΡΡΠ½ΠΎΠΉ ΠΊΠΈΡΠΊΠΈ (ΠΠΠ)) ΡΠΈΡΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ²Π½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° ΠΏΡΠ΅Π²ΡΡΠ°Π» 95%.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΡΡ
Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ°Π·Π΄Π΅Π»ΠΈΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π½Π° Π³ΡΡΠΏΠΏΡ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΠΠ’. ΠΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° Π²ΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ 4 ΡΠ°ΠΊΡΠΎΡΠ° ΡΠΈΡΠΊΠ° (ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΠΠ‘ΠΠ Π² 1-Π΅ ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΠΈΠ½Π΄Π΅ΠΊΡ ΠΠ°ΡΠ½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΠ²Π΅Π³Π΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°Π±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; ΡΠ·Π²Π΅Π½Π½Π°Ρ Π±ΠΎΠ»Π΅Π·Π½Ρ ΠΆΠ΅Π»ΡΠ΄ΠΊΠ° ΠΈ ΠΠΠ) ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, ΡΠ½ΠΈΠ·ΠΈΡΡ ΡΠ°ΡΡΠΎΡΡ ΠΠΠ ΠΈΠ· Π²Π΅ΡΡ
Π½ΠΈΡ
ΠΎΡΠ΄Π΅Π»ΠΎΠ² ΠΠΠ’ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ ΠΠ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ.
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