91 research outputs found

    Magnetization in AIIIBV semiconductor heterostructures with the depletion layer of manganese

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    The magnetic moment and magnetization in GaAs/Ga0.84_{0.84}In0.16_{0.16}As/GaAs heterostructures with Mn deluted in GaAs cover layers and with atomically controlled Mn δ\delta-layer thicknesses near GaInAs-quantum well (∼\sim3 nm) in temperature range T=(1.8-300)K in magnetic field up to 50 kOe have been investigated. The mass magnetization all of the samples of GaAs/Ga0.84_{0.84}In0.16_{0.16}As/GaAs with Mn increases with the increasing of the magnetic field that pointed out on the presence of low-dimensional ferromagnetism in the manganese depletion layer of GaAs based structures. It has been estimated the manganese content threshold at which the ferromagnetic ordering was found.Comment: 8 pages, 3 figure

    Dimerization and low-dimensional magnetism in nanocrystalline TiO2 semiconductors doped by Fe and Co

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    The report is devoted to an analysis of the structural and magnetic state of the nanocrystalline diluted magnetic semiconductors based on TiO2 doped with Fe and Co atoms. Structural and magnetic characterization of samples was carried out using X-ray diffraction (XRD) analysis, transmission electron microscopy (TEM), X-ray absorption spectroscopy (XAS), electron paramagnetic resonance (EPR) spectroscopy, SQUID magnetometry, and the density functional theory (DFT) calculations. Analysis of the experimental data suggests the presence of non-interacting paramagnetic Fe3+ and Co2+ ions in the high-spin state and negative exchange interactions between them. The important conclusions is that the distribution of dopants in the TiO2 matrix, even at low concentrations of 3d-metal dopant (less than one percent), is not random, but the 3d ions localization and dimerization is observed both on the surface and in the nanoparticles core. Thus, in the paper the quantum mechanical model for describing the magnetic properties of TiO2:(Fe, Co) was suggested. The model operates only with two parameters: paramagnetic contribution of non-interacting 3d-ions and dimers having different exchange interactions between 3d magnetic carriers. Β© Published under licence by IOP Publishing Ltd

    Unconventional magnetism of non-uniform distribution of Co in TiO2 nanoparticles

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    High-resolution transmission electron microscopy (HRTEM), X-ray diffraction (XRD) analysis, electron paramagnetic resonance (EPR), X-ray absorption spectroscopy (XAS), magnetic methods, and density-functional theory (DFT) calculations were applied for the investigations of Co-doped anatase TiO2 nanoparticles (∼20 nm). It was found that high-spin Co2+ ions prefer to occupy the interstitial positions in the TiO2 lattice which are the most energetically favourable in compare to the substitutional those. A quantum mechanical model which operates mainly on two types of Co2+ – Co2+ dimers with different negative exchange interactions and the non-interacting paramagnetic Co2+ ions provides a satisfactorily description of magnetic properties for the TiO2:Co system. Β© 2020 Elsevier B.V.Russian Foundation for Basic Research. Ministry of Science and Higher Education of the Russian Federatio

    ВлияниС коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ COVID-19 Π½Π° ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΈ Ρ„ΠΈΠ·ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Ρ€Π°Π±ΠΎΡ‚ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ студСнтов

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    In the article, the symptoms of coronavirus infection COVID-19, its effect on the cognitive functions and physical performance of students of a higher education institution of medical profile are described, the measures to prevent the spread of this infection are considered, as well as the measures for a subsequent recovery of students, who have undergone this disease and have entered the educational process, are proposed.Π Π°ΡΠΊΡ€Ρ‹Π²Π°ΡŽΡ‚ΡΡ симптомы коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ COVID-19, Π΅Π΅ влияниС Π½Π° ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Π΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΈ Ρ„ΠΈΠ·ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Ρ€Π°Π±ΠΎΡ‚ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ студСнтов учрСТдСния Π²Ρ‹ΡΡˆΠ΅Π³ΠΎ образования мСдицинского профиля, рассмотрСны ΠΌΠ΅Ρ€Ρ‹ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ распространСния Π΄Π°Π½Π½ΠΎΠΉ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΡ€Π΅Π΄Π»Π°Π³Π°ΡŽΡ‚ΡΡ ΠΌΠ΅Ρ€Ρ‹ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅Π³ΠΎ восстановлСния студСнтов, ΠΏΠ΅Ρ€Π΅Π½Π΅ΡΡˆΠΈΡ… Π΄Π°Π½Π½ΠΎΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠ΅ ΠΈ ΠΏΡ€ΠΈΡΡ‚ΡƒΠΏΠΈΠ²ΡˆΠΈΡ… ΠΊ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΌΡƒ процСссу

    Π—Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ активности Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠšΡƒΠΏΡ„Π΅Ρ€Π° Π² процСссах дСтоксикации ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ‚ΠΈΡ€Π΅ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ статуса Ρƒ крыс ΠΏΡ€ΠΈ хроничСской алкогольной интоксикации Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ тяТСсти

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    Modern medicine faces the problem of a steady growth of alcoholic pathology. As you know, morbidity and mortality with a regular consumption of alcoholic beverages is associated with the toxic effects of ethanol on the most important human organs and, first of all, on the liver. To date, a sufficient number of facts are accumulated, indicating the importance of liver arginase and Kupffer cells in vital processes in health and disease. The aim of the study was to elucidate the significance of the activity of liver arginase and Kupffer cells in the detoxification processes and the thyroid status formation in rats with chronic ethanol intoxication of different severity. In rat experiments using modern physiological, biochemical research methods and a pharmacological approach, it was found that liver arginase and Kupffer cells participate in changes in the liver detoxification function and the thyroid status formation induced by chronic ethanol intoxication. The activity of liver arginase and Kupffer cells determines the severity of detoxification processes and the thyroid status formation in chronic alcohol intoxication. The direction and severity of changes in the arginase activity and the liver detoxification function during chronic alcoholism depends on the severity of chronic alcohol intoxication. Under the influence of daily intragastric administration for 60 days, a 30 % aqueous solution of ethanol (3.5 g 92 % ethanol per kg of body weight) in animals inhibited the activity of liver arginase and the detoxification function, but the introduction of a 10 % aqueous solution of ethanol (1.0 g 92 % ethanol per kg of body weight) within 2 months leads to an increase in the activity of liver arginase and detoxification processes. Kupffer cells depression by GdCl3 as the action in the body of the NO-synthase inhibitor methyl ester NG-nitro-L-arginine weakens and the arginase inhibitor NΟ‰-hydroxy-nor-L-arginine contributes to the development of characteristic changes in the processes of detoxification and triiodothyronine level in plasma during chronic alcohol intoxication caused by intragastric introduction of ethanol at a dose of 3.5 g/kg for 60 days.БоврСмСнная ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Π° стоит ΠΏΠ΅Ρ€Π΅Π΄ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ Π½Π΅ΡƒΠΊΠ»ΠΎΠ½Π½ΠΎΠ³ΠΎ роста алкогольной ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ. А ΠΊΠ°ΠΊ извСстно, Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡ‚ΡŒ ΠΈ ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΈ рСгулярном ΡƒΠΏΠΎΡ‚Ρ€Π΅Π±Π»Π΅Π½ΠΈΠΈ Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π½Π°ΠΏΠΈΡ‚ΠΊΠΎΠ² связана с токсичСским воздСйствиСм этанола Π½Π° ваТнСйшиС ΠΎΡ€Π³Π°Π½Ρ‹ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ, Π² ΠΏΠ΅Ρ€Π²ΡƒΡŽ ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΏΠ΅Ρ‡Π΅Π½ΡŒ. К настоящСму Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ накопилось достаточноС количСство Ρ„Π°ΠΊΡ‚ΠΎΠ², ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… ΠΎ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΈ Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠšΡƒΠΏΡ„Π΅Ρ€Π° Π² процСссах ΠΆΠΈΠ·Π½Π΅Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π² Π½ΠΎΡ€ΠΌΠ΅ ΠΈ ΠΏΡ€ΠΈ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ. ЦСлью исслСдования Π±Ρ‹Π»ΠΎ выяснСниС значимости активности Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠšΡƒΠΏΡ„Π΅Ρ€Π° Π² процСссах дСтоксикации ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ‚ΠΈΡ€Π΅ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ статуса Ρƒ крыс ΠΏΡ€ΠΈ хроничСской этаноловой интоксикации Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ тяТСсти. Π’ ΠΎΠΏΡ‹Ρ‚Π°Ρ… Π½Π° крысах с использованиСм соврСмСнных физиологичСских, биохимичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² исслСдования ΠΈ фармакологичСского ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π±Ρ‹Π»ΠΎ установлСно, Ρ‡Ρ‚ΠΎ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠšΡƒΠΏΡ„Π΅Ρ€Π° ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‚ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ процСссов дСтоксикации ΠΈ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‚ΠΈΡ€Π΅ΠΎΠΈΠ΄Π½ΠΎΠ³ΠΎ статуса ΠΏΡ€ΠΈ хроничСской алкогольной интоксикации. ΠΠ°ΠΏΡ€Π°Π²Π»Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ активности Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΈ дСтоксикационной Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΏΡ€ΠΈ хроничСской Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΠΈΠ·Π°Ρ†ΠΈΠΈ зависит ΠΎΡ‚ тяТСсти хроничСской алкогольной интоксикации. Под влияниСм Π΅ΠΆΠ΅Π΄Π½Π΅Π²Π½ΠΎΠ³ΠΎ ΠΈΠ½Ρ‚Ρ€Π°Π³Π°ΡΡ‚Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ввСдСния Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 60 Π΄Π½Π΅ΠΉ 30 %-Π½ΠΎΠ³ΠΎ Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ раствора этанола (3,5 Π³ 92 %-Π½ΠΎΠ³ΠΎ этанола Π½Π° ΠΊΠ³ массы Ρ‚Π΅Π»Π°) Ρƒ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… угнСтаСтся Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΈ дСтоксикационной Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ, Π° Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ 10 %-Π½ΠΎΠ³ΠΎ Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ раствора этанола (1,0 Π³ 92 %-Π½ΠΎΠ³ΠΎ этанола Π½Π° ΠΊΠ³ массы Ρ‚Π΅Π»Π°) Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π΄Π²ΡƒΡ… мСсяцСв ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡŽ активности Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ ΠΏΠ΅Ρ‡Π΅Π½ΠΈ ΠΈ процСссов дСтоксикации. ДСпрСссия ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠšΡƒΠΏΡ„Π΅Ρ€Π° GdCl3, ΠΊΠ°ΠΊ ΠΈ дСйствиС Π² ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ΅ ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π° NO-синтазы ΠΌΠ΅Ρ‚ΠΈΠ»ΠΎΠ²ΠΎΠ³ΠΎ эфира NG-Π½ΠΈΡ‚Ρ€ΠΎL-Π°Ρ€Π³ΠΈΠ½ΠΈΠ½Π° ослабляСт, Π° ΠΈΠ½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π° Π°Ρ€Π³ΠΈΠ½Π°Π·Ρ‹ NΟ‰-гидрокси-Π½ΠΎΡ€-L-Π°Ρ€Π³ΠΈΠ½ΠΈΠ½Π° способствуСт Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² процСссах дСтоксикации ΠΈ уровня Ρ‚Ρ€ΠΈΠΉΠΎΠ΄Ρ‚ΠΈΡ€ΠΎΠ½ΠΈΠ½Π° Π² ΠΏΠ»Π°Π·ΠΌΠ΅ ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΡ€ΠΈ хроничСской алкогольной интоксикации, Π²Ρ‹Π·Ρ‹Π²Π°Π΅ΠΌΠΎΠΉ ΠΈΠ½Ρ‚Ρ€Π°Π³Π°ΡΡ‚Ρ€Π°Π»ΡŒΠ½Ρ‹ΠΌ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ΠΌ этанола Π² Π΄ΠΎΠ·Π΅ 3,5 Π³/ΠΊΠ³ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 60 Π΄Π½Π΅ΠΉ

    Magnetization in AIIIBV semiconductor heterostructures with the depletion layer of manganese

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    The magnetic moment and magnetization in GaAs/Gaβ‚€.β‚ˆβ‚„Inβ‚€.₁₆As/GaAs heterostructures with Mn deluted in GaAs cover layers and with atomically controlled Mn Ξ΄-layer thicknesses near GaInAs-quantum well (~3 nm) in temperature range T = 1.8–300 K in magnetic field up to 50 kOe have been investigated. The mass magnetization all of the samples of GaAs/Gaβ‚€.β‚ˆβ‚„Inβ‚€.₁₆As/GaAs with Mn increases with the increasing of the magnetic field that pointed out on the presence of low-dimensional ferromagnetism in the manganese depletion layer of GaAs based structures. It has been estimated the manganese content threshold at which the ferromagnetic ordering was found

    Ρ†Π΅Π½ΠΊΠ° Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π°Π΄Π°ΠΏΡ‚Π°Ρ†ΠΈΠΈ Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… Π»ΠΈΡ† ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ пространствСнно-Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΊΠΈΠ½Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ

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    An important problem of modern clinical biomechanics is to identify complex movement markers that make it possible to evaluate complex motor adaptive reactions regardless of age, gender, and anthropometric deviations. The purpose of the present study was to develop a method for analysis of human motor adaptive reactions based on calculating specific biomechanical markers obtained by performing diverse kinematic tests. The study involved 90 volunteers with a right-leading kinematic side at an age of 18.8 [16.8/20.8] years, with a height of 171.8 [179.2/164.8] cm, a body weight of 65.3 [76.6/58.5] kg, and the ratio of men and women – 5 : 4. During the study, all participants underwent biomechanical analysis using the TESLASUIT remote motion capture suit and performing diverse kinematic tests. In the course of the study, a new method for analyzing human motor adaptive reactions was developed. It is based on calculating specific time markers of the active phase, average angular deviation markers, and inertial kinematic markers. All markers are calculated after each kinematic tests β€œfrontal stability”, β€œsagittal stability”, β€œspatial orientation”, and β€œstimulus identification”. Our survey revealed that specific (p < 0.001) markers of the first test are the time indicators of the active phase, the markers of the second and fourth tests are associated with the average angular deviation parameters, and the specific indicators of the third test can be the inertial kinematics of thighs, legs, and feet.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ соврСмСнной клиничСской Π±ΠΈΠΎΠΌΠ΅Ρ…Π°Π½ΠΈΠΊΠΈ остаСтся Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² слоТных Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΉ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΡ… ΠΎΡ†Π΅Π½ΠΈΠ²Π°Ρ‚ΡŒ слоТныС Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΏΡ€ΠΈΡΠΏΠΎΡΠΎΠ±ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ Π²Π½Π΅ зависимости ΠΎΡ‚ возраста, ΠΏΠΎΠ»Π° ΠΈ антропомСтричСских Π΄Π΅Π²ΠΈΠ°Ρ†ΠΈΠΉ. ЦСль исслСдования: Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΡΠΏΠΎΡΠΎΠ±ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΏΠΎ биомСханичСским ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌ, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΌ ΠΏΡ€ΠΈ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ Ρ€Π°Π·Π½ΠΎΠΏΠ»Π°Π½ΠΎΠ²Ρ‹Ρ… кинСматичСских тСстов. Π’ исслСдовании приняли участиС 90 Π΄ΠΎΠ±Ρ€ΠΎΠ²ΠΎΠ»ΡŒΡ†Π΅Π² с правосторонним Π²Π΅Π΄ΡƒΡ‰ΠΈΠΌ кинСматичСским Π·Π²Π΅Π½ΠΎΠΌ Π² возрастС 18,8 [16,8/20,8] Π»Π΅Ρ‚, с ростом 171,8 [179,2/164,8] см ΠΈ массой Ρ‚Π΅Π»Π° 65,3 [76,6/58,5] ΠΊΠ³, ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ – 5 : 4. Π’ Ρ…ΠΎΠ΄Π΅ исслСдования всСм участникам ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ биомСханичСский Π°Π½Π°Π»ΠΈΠ· с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ систСмы дистанционного Π·Π°Ρ…Π²Π°Ρ‚Π° Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΉ Β«TESLASUITΒ», Π° Ρ‚Π°ΠΊΠΆΠ΅ выполняли Ρ€Π°Π·Π½ΠΎΠΏΠ»Π°Π½ΠΎΠ²Ρ‹Π΅ кинСматичСскиС тСсты. Π’ Ρ…ΠΎΠ΄Π΅ провСдСния исслСдования Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½ Π½ΠΎΠ²Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΈΡΠΏΠΎΡΠΎΠ±ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°, основанный Π½Π° вычислСнии спСцифичСских ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ Ρ„Π°Π·Ρ‹ срСднСй ΡƒΠ³Π»ΠΎΠ²ΠΎΠΉ Π΄Π΅Π²ΠΈΠ°Ρ†ΠΈΠΈ ΠΈ ΠΈΠ½Π΅Ρ€Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΊΠΈΠ½Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ ΠΏΡ€ΠΈ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ стандартизированных кинСматичСских тСстов Β«Ρ„Ρ€ΠΎΠ½Ρ‚Π°Π»ΡŒΠ½Π°Ρ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΡŒΒ», Β«ΡΠ°Π³ΠΈΡ‚Ρ‚Π°Π»ΡŒΠ½Π°Ρ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΡŒΒ», «пространствСнная ориСнтация» ΠΈ «идСнтификация стимула». УстановлСно, Ρ‡Ρ‚ΠΎ спСцифичСскими (Ρ€ < 0,001) ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌΠΈ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ тСста ΡΠ²Π»ΡΡŽΡ‚ΡΡ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠΉ Ρ„Π°Π·Ρ‹, ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹ Π²Ρ‚ΠΎΡ€ΠΎΠ³ΠΎ ΠΈ Ρ‡Π΅Ρ‚Π²Π΅Ρ€Ρ‚ΠΎΠ³ΠΎ тСстов связаны с ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ срСднСй ΡƒΠ³Π»ΠΎΠ²ΠΎΠΉ Π΄Π΅Π²ΠΈΠ°Ρ†ΠΈΠΈ, спСцифичСскими ΠΈΠ½Π΄ΠΈΠΊΠ°Ρ‚ΠΎΡ€Π°ΠΌΠΈ Ρ‚Ρ€Π΅Ρ‚ΡŒΠ΅Π³ΠΎ тСста ΠΌΠΎΠΆΠ΅Ρ‚ Π²Ρ‹ΡΡ‚ΡƒΠΏΠ°Ρ‚ΡŒ ΠΈΠ½Π΅Ρ€Ρ†ΠΈΠ°Π»ΡŒΠ½Π°Ρ ΠΊΠΈΠ½Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠ° Π±Π΅Π΄Π΅Ρ€, Π³ΠΎΠ»Π΅Π½Π΅ΠΉ ΠΈ стоп

    Impact of liquid metal surface on plasma-surface interaction in experiments with lithium and tin capillary porous systems

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    The lithium and tin capillary-porous systems (CPSs) were tested with steady-state plasma in the PLM plasma device which is the divertor simulator with plasma parameters relevant to divertor and SOL plasma of tokamaks. The CPS consists of tin/lithium tile fixed between two molybdenum meshs constructed in the module faced to plasma. Steady-state plasma load of 0.1 - 1 MW/m(2) on the CPS during more than 200 min was achieved in experiments on PLM which is a modeling far scrapeoff- layer and far zone of divertor plasma of a large tokamak. The heating of the CPS was controlled remotely including biasing technique which allows to regulate evaporated metal influx to plasma. After exposure, the materials of the tin and lithium CPSs were inspected and analyzed with optic and scanning electron micriscopy. Experiments have demonstrated sustainability of the tin and lithium CPSs to the high heat steady state plasma load expected in a large scale tokamak. The effect of evaporated lithium and tin on the plasma transport/radiation was studied with spectroscopy to evaluate changes of plasma properties and plasma-surface interaction

    Study of the stochastic clustering on the refractory material surface under the effect of plasma load in the PLM device

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    Tungsten plates were tested in stationary helium discharges in the PLM device. The duration of discharges in the PLM reached 200 minutes. A distinctive feature of this device is the stationary plasma confinement, which is advantageous for testing fusion materials, including materials of the divertor and first wall of a fusion reactor. During plasma irradiation in the PLM, the thermal load on the surface of the tested plates was more than 1 MW/m(2). The temperature of the tested plates amounted to 1000 degrees C and more. Stochastic nanostructures with dimensions of the structural elements of less than 50 nm, including fuzz-type structures, were observed on the processed surfaces of the samples

    ΠŸΡ€ΠΎΠ³Π½ΠΎΡΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Ρ€ΠΎΠ»ΡŒ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ТСсткости Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΉ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Π΅Π½Π·ΠΈΠ΅ΠΉ, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ Π»ΠΈΡ† с отягощСнным Π°Π½Π°ΠΌΠ½Π΅Π·ΠΎΠΌ ΠΏΠΎ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Ρƒ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°

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    The article presents the information about the predictive significance of a complex approach in determining vascular wall stiffness parameters. A total of 159 people with arterial hypertension (AH) and AH after a previous ischemic stroke were examined. A model with a conditional linear predictor (LP) was constructed, using a binary regression equation with a probit-link function for prediction of cardiovascular events. LP is a combination of indicators such as age (А), glomerular filtration rate (CKD-EPI), pulse wave velocity (PWV), intima- media thickness (IMT), cardio-ankle vascular index (CAVI) and augmentation index (AI). The equation has the following form: LP = –6.6139 – 0.0978A + 0.031CKDEPI + 0.0758PWV + 3.2086IMT + 0.4421CAVI + 1.2429AI. The cut-off threshold for LP = 0.0238, sensitivity (Se) 85.71 %, specificity (Sp) 77 % and accuracy (Acc) 78.07 %.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ свСдСния ΠΎ прогностичСской значимости комплСксного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ТСсткости сосудистой стСнки. ОбслСдовано 159 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ с Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ Π³ΠΈΠΏΠ΅Ρ€Ρ‚Π΅Π½Π·ΠΈΠ΅ΠΉ (АГ) ΠΈ с АГ послС пСрСнСсСнного ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°. ΠŸΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ уравнСния Π±ΠΈΠ½Π°Ρ€Π½ΠΎΠΉ рСгрСссии с ΠΏΡ€ΠΎΠ±ΠΈΡ‚Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠ΅ΠΉ связи построСна модСль с условным Π»ΠΈΠ½Π΅ΠΉΠ½Ρ‹ΠΌ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€ΠΎΠΌ (Π›ΠŸ), ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‰ΠΈΠΌ собой ΡΠΎΠ²ΠΎΠΊΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ возраста (Π’), скорости ΠΊΠ»ΡƒΠ±ΠΎΡ‡ΠΊΠΎΠ²ΠΎΠΉ Ρ„ΠΈΠ»ΡŒΡ‚Ρ€Π°Ρ†ΠΈΠΈ (CKD-EPI), скорости распространСния ΠΏΡƒΠ»ΡŒΡΠΎΠ²ΠΎΠΉ Π²ΠΎΠ»Π½Ρ‹ (Π‘Π ΠŸΠ’), Ρ‚ΠΎΠ»Ρ‰ΠΈΠ½Ρ‹ комплСкса ΠΈΠ½Ρ‚ΠΈΠΌΠ°-ΠΌΠ΅Π΄ΠΈΠ° (КИМ), сСрдСчно-Π»ΠΎΠ΄Ρ‹ΠΆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ сосудистого индСкса (Π‘Π›Π‘Π˜) ΠΈ индСкса Π°ΡƒΠ³ΠΌΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ (ИА) с Ρ†Π΅Π»ΡŒΡŽ составлСния ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π° Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ сСрдСчно-сосудистых событий. Π£Ρ€Π°Π²Π½Π΅Π½ΠΈΠ΅ ΠΈΠΌΠ΅Π΅Ρ‚ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΉ Π²ΠΈΠ΄: Π›ΠŸ = –6,6139 – 0,0978Π’ + 0,031CKD-EPI + 0,0758Π‘Π ΠŸΠ’ + 3,2086КИМ + 0,4421Π‘Π›Π‘Π˜ + 1,2429ИА. ΠŸΠΎΡ€ΠΎΠ³ отсСчСния ΠΏΠΎ Π›ΠŸ = 0,0238, Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ (Se) 85,71 %, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ (Sp) 77,0 % ΠΈ Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ (Acc) 78,07 %
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