2,517 research outputs found

    Electromagnetohydrodynamics

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    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 xx axis, perpendicular to the magnetic field Hy(x)H_y(x), 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

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    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.ΠœΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½Π°Ρ модСль процСсса прСобразования рСсурсов примСняСтся для исслСдования прСдприятий ΠΈΠ»ΠΈ частСй прСдприятий Π½Π° Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ простоСв ΠΈΠ»ΠΈ высокой загруТСнности срСдств Π² производствС, Ρ€Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы выпуска мСталлургичСской ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΠΈ. На основании построСнной ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ экспСримСнты ΠΈ прСдставлСны Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ измСнСнию Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… процСссов: Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΡ‚ΡŒ количСство тСрмичСских ΠΏΠ΅Ρ‡Π΅ΠΉ ΠΈ ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ количСство пСрсонала Ρ†Π΅Ρ…Π°

    Neutron star composition in strong magnetic fields

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    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 Ξ²\beta-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

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    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

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    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.ΠœΠ΅Ρ‚ΠΎΠ΄ ΠΎΠΏΠΎΡ€Π½Ρ‹Ρ… ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΎΡ€ΠΎΠ² Ρ…ΠΎΡ€ΠΎΡˆΠΎ проявил сСбя ΠΏΡ€ΠΈ числСнном ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π΄Π²ΡƒΠΌΠ΅Ρ€Π½Ρ‹Ρ… астрофизичСских Π·Π°Π΄Π°Ρ‡. Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ этот ΠΌΠ΅Ρ‚ΠΎΠ΄ Π±Ρ‹Π» Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½ Π½Π° Ρ‚Ρ€Π΅Ρ…ΠΌΠ΅Ρ€Π½Ρ‹ΠΉ случай. Π’Ρ€Π΅Ρ…ΠΌΠ΅Ρ€Π½Ρ‹Π΅ сСточныС Π°Π½Π°Π»ΠΎΠ³ΠΈ Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½Ρ‹Ρ… Π²Π΅ΠΊΡ‚ΠΎΡ€Π½Ρ‹Ρ… ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΎΡ€ΠΎΠ² ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ с использованиСм ячССчно-ΡƒΠ·Π»ΠΎΠ²ΠΎΠΉ аппроксимации. Π’Ρ€Π΅Ρ…ΠΌΠ΅Ρ€Π½ΠΎΠ΅ ΡƒΡ€Π°Π²Π½Π΅Π½ΠΈΠ΅ ΠŸΡƒΠ°ΡΡΠΎΠ½Π° для Π³Ρ€Π°Π²ΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»Π° Ρ€Π΅ΡˆΠ΅Π½ΠΎ Π² качСствС тСстовой Π·Π°Π΄Π°Ρ‡ΠΈ. ΠœΠ΅Ρ‚ΠΎΠ΄ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ ΠΊ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ Π°Π½ΠΈΠ·Π°Ρ‚Ρ€ΠΎΠΏΠ½ΠΎΠΉ тСплопроводности Π² ΠΊΠΎΡ€Π΅ Π½Π΅ΠΉΡ‚Ρ€ΠΎΠ½Π½ΠΎΠΉ Π·Π²Π΅Π·Π΄Ρ‹

    ΠžΡ†Π΅Π½ΠΊΠ° риска ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ кровотСчСния Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ²Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°

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    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, specialists’ 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: χ²=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.ЦСль исслСдования β€” построСниС ΠΌΠΎΠ΄Π΅Π»ΠΈ риска развития ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ кровотСчСния ΠΈΠ· ΠΆΠ΅Π»ΡƒΠ΄ΠΊΠ° ΠΈ двСнадцатипСрстной кишки Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ²Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ этиологии.Β ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ рСтроспСктивноС ΠΎΠΏΠΈΡΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ истории Π±ΠΎΠ»Π΅Π·Π½ΠΈ 33-Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ²: 22 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² β€” с тяТСлым ΠΏΠΎΠ²Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ этиологии ΠΈ, для сравнСния, 11 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² β€” с анСвризматичСской болСзнью сосудов Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° с нСослоТнСнным Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ послСопСрационного ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° послС ΠΏΠ»Π°Π½ΠΎΠ²Ρ‹Ρ… нСйрохирургичСских Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π². ВсСх ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Ρ€Π°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° 2 Π³Ρ€ΡƒΠΏΠΏΡ‹: с явными ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ кровотСчСния ΠΈΠ· Π–ΠšΠ’ (n=11) ΠΈ Π±Π΅Π· явных ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² кровотСчСния (n=22). ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π»ΠΈ ΠΆΠ°Π»ΠΎΠ±Ρ‹, Π°Π½Π°ΠΌΠ½Π΅Π· заболСвания ΠΈ ΠΆΠΈΠ·Π½ΠΈ, ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠ΅ заболСвания, Π΄Π°Π½Π½Ρ‹Π΅ осмотров спСциалистов, Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹Ρ… ΠΈ ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исслСдований, особСнности Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. Π€ΡƒΠ½ΠΊΡ†ΠΈΠΈ Π²Π΅Π³Π΅Ρ‚Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ Π½Π΅Ρ€Π²Π½ΠΎΠΉ систСмы ΠΎΡ†Π΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΏΠΎ проявлСниям ΠΏΠ°Ρ€ΠΎΠΊΡΠΈΠ·ΠΌΠ°Π»ΡŒΠ½ΠΎΠΉ симпатичСской гипСрактивности (ΠŸΠ‘Π“Π) ΠΏΡ€ΠΈ поступлСнии Π² стационар, Π½Π° 1-Π΅, 3-ΠΈ ΠΈ 5-Π΅ сут послС поврСТдСния Π“Πœ.Β Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. БрСдствами логистичСской рСгрСссии построили модСль ΠΎΡ†Π΅Π½ΠΊΠΈ риска развития явного кровотСчСния ΠΈΠ· Π²Π΅Ρ€Ρ…Π½ΠΈΡ… ΠΎΡ‚Π΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π°. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Π°Ρ модСль ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ высокой ΠΎΡ†Π΅Π½ΠΊΠΎΠΉ качСства: χ²=33,78, 3; p<0,001; OR=315. ΠŸΡ€ΠΈ сочСтании Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅ 4-Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ² (ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΠŸΠ‘Π“Π Π² 1-Π΅ сут послС поврСТдСния Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; индСкс ΠšΠ°Ρ€Π½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; отсутствиС Π½Π΅ΠΉΡ€ΠΎΠ²Π΅Π³Π΅Ρ‚Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ стабилизации Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ поврСТдСния Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; язвСнная болСзнь ΠΆΠ΅Π»ΡƒΠ΄ΠΊΠ° ΠΈ двСнадцатипСрстной кишки (Π”ΠŸΠš)) риск развития явного кровотСчСния ΠΈΠ· Π²Π΅Ρ€Ρ…Π½ΠΈΡ… ΠΎΡ‚Π΄Π΅Π»ΠΎΠ² ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡Π½ΠΎ-ΠΊΠΈΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π° ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°Π» 95%.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π’Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²Ρ‹Ρ… Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска позволяСт Ρ€Π°Π·Π΄Π΅Π»ΠΈΡ‚ΡŒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π½Π° Π³Ρ€ΡƒΠΏΠΏΡ‹ риска развития ΠΊΡ€ΠΎΠ²ΠΎΡ‚Π΅Ρ‡Π΅Π½ΠΈΠΉ ΠΈΠ· Π²Π΅Ρ€Ρ…Π½ΠΈΡ… ΠΎΡ‚Π΄Π΅Π»ΠΎΠ² Π–ΠšΠ’. ВоздСйствиС Π½Π° выявлСнныС 4 Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° риска (проявлСния ΠŸΠ‘Π“Π Π² 1-Π΅ сут послС поврСТдСния Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; индСкс ΠšΠ°Ρ€Π½ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΅ 75; отсутствиС Π½Π΅ΠΉΡ€ΠΎΠ²Π΅Π³Π΅Ρ‚Π°Ρ‚ΠΈΠ²Π½ΠΎΠΉ стабилизации Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ поврСТдСния Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°; язвСнная болСзнь ΠΆΠ΅Π»ΡƒΠ΄ΠΊΠ° ΠΈ Π”ΠŸΠš) ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚, вСроятно, ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ частоту Π–ΠšΠš ΠΈΠ· Π²Π΅Ρ€Ρ…Π½ΠΈΡ… ΠΎΡ‚Π΄Π΅Π»ΠΎΠ² Π–ΠšΠ’ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΏΠΎΠ²Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π“Πœ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ этиологии.
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