95 research outputs found

    MSAT-X electronically steered phased array antenna system

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    A low profile electronically steered phased array was successfully developed for the Mobile Satellite Experiment Program (MSAT-X). The newly invented cavity-backed printed crossed-slot was used as the radiating element. The choice of this element was based on its low elevation angle gain coverage and low profile. A nineteen-way radial type unequal power divider and eighteen three-bit diode phase shifters constitute the beamformer module which is used to scan the beams electronically. A complete hybrid mode pointing system was also developed. The major features of the antenna system are broad coverage, low profile, and fast acquisition and tracking performance, even under fading conditions. Excellent intersatellite isolation (better than 26 dB) was realized, which will provide good quality mobile satellite communication in the future

    Thruster Plume Plasma Diagnostics: A Ground Chamber Experiment for a 2-Kilowatt Arcjet

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    Although detailed near field (0 to 3 cm) information regarding the exhaust plume of a two kilowatt arc jet is available (refs. 1 to 6), there is virtually little or no information (outside of theoretical extrapolations) available concerning the far field (2.6 to 6.1 m). Furthermore real information about the plasma at distances between (3 to 6 m) is of critical importance to high technology satellite companies in understanding the effect of arc jet plume exhausts on space based power systems. It is therefore of utmost importance that one understands the exact nature of the interaction between the arc jet plume, the spacecraft power system and the surrounding electrical plasma environment. A good first step in understanding the nature of the interactions lies in making the needed plume parameter measurements in the far field. All diagnostic measurements are performed inside a large vacuum system (12 m diameter by 18 m high) with a full scale arc jet and solar array panel in the required flight configuration geometry. Thus, necessary information regarding the plume plasma parameters in the far field is obtained. Measurements of the floating potential, the plasma potential, the electron temperature, number density, density distribution, debye length, and plasma frequency are obtained at various locations about the array (at vertical distances from the arc jet nozzle: 2.6, 2.7, 2.8, 3.2, 3.6, 4.0, 4.9, 5.0, 5.4, 5.75, and 6.14 m). Plasma diagnostic parameters are measured for both the floating and grounded configurations of the arc jet anode and array. Spectroscopic optical measurements are then acquired in close proximity to the nozzle, and contamination measurements are made in the vicinity of the array utilizing a mass spectrometer and two Quartz Crystal Microbalances (QCM's)

    Arcing in LEO: Does the Whole Array Discharge?

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    The conventional wisdom about solar array arcing in LEO is that only the parts of the solar array that are swept over by the arc-generated plasma front are discharged in the initial arc. This limits the amount of energy that can be discharged. Recent work done at the NASA Glenn Research Center has shown that this idea is mistaken. In fact, the capacitance of the entire solar array may be discharged, which for large arrays leads to very large and possibly debilitating arcs, even if no sustained arc occurs. We present the laboratory work that conclusively demonstrates this fact by using a grounded plate that prevents the arc-plasma front from reaching certain array strings. Finally, we discuss the dependence of arc strength and arc pulse width on the capacitance that is discharged, and provide a physical mechanism for discharge of the entire array, even when parts of the array are not accessible to the arc-plasma front. Mitigation techniques are also presented

    NASA GRC and MSFC Space-Plasma Arc Testing Procedures

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    Tests of arcing and current collection in simulated space plasma conditions have been performed at the NASA Glenn Research Center (GRC) in Cleveland, Ohio, for over 30 years and at the Marshall Space Flight Center (MSFC) in Huntsville, Alabama, for almost as long. During this period, proper test conditions for accurate and meaningful space simulation have been worked out, comparisons with actual space performance in spaceflight tests and with real operational satellites have been made, and NASA has achieved our own internal standards for test protocols. It is the purpose of this paper to communicate the test conditions, test procedures, and types of analysis used at NASA GRC and MSFC to the space environmental testing community at large, to help with international space-plasma arcing-testing standardization. Discussed herein are neutral gas conditions, plasma densities and uniformity, vacuum chamber sizes, sample sizes and Debye lengths, biasing samples versus self-generated voltages, floating samples versus grounded samples, test electrical conditions, arc detection, preventing sustained discharges during testing, real samples versus idealized samples, validity of LEO tests for GEO samples, extracting arc threshold information from arc rate versus voltage tests, snapover, current collection, and glows at positive sample bias, Kapton pyrolysis, thresholds for trigger arcs, sustained arcs, dielectric breakdown and Paschen discharge, tether arcing and testing in very dense plasmas (i.e. thruster plumes), arc mitigation strategies, charging mitigation strategies, models, and analysis of test results. Finally, the necessity of testing will be emphasized, not to the exclusion of modeling, but as part of a complete strategy for determining when and if arcs will occur, and preventing them from occurring in space

    NASA GRC and MSFC Space-Plasma Arc Testing Procedures

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    Tests of arcing and current collection in simulated space plasma conditions have been performed at the NASA Glenn Research Center (GRC) in Cleveland, Ohio, for over 30 years and at the Marshall Space Flight Center (MSFC) in Huntsville, Alabama, for almost as long. During this period, proper test conditions for accurate and meaningful space simulation have been worked out, comparisons with actual space performance in spaceflight tests and with real operational satellites have been made, and NASA has achieved our own internal standards for test protocols. It is the purpose of this paper to communicate the test conditions, test procedures, and types of analysis used at NASA GRC and MSFC to the space environmental testing community at large, to help with international space-plasma arcing-testing standardization. To be discussed are: 1.Neutral pressures, neutral gases, and vacuum chamber sizes. 2. Electron and ion densities, plasma uniformity, sample sizes, and Debuy lengths. 3. Biasing samples versus self-generated voltages. Floating samples versus grounded. 4. Power supplies and current limits. Isolation of samples from power supplies during arcs. 5. Arc circuits. Capacitance during biased arc-threshold tests. Capacitance during sustained arcing and damage tests. Arc detection. Prevention sustained discharges during testing. 6. Real array or structure samples versus idealized samples. 7. Validity of LEO tests for GEO samples. 8. Extracting arc threshold information from arc rate versus voltage tests. 9. Snapover and current collection at positive sample bias. Glows at positive bias. Kapon (R) pyrolisis. 10. Trigger arc thresholds. Sustained arc thresholds. Paschen discharge during sustained arcing. 11. Testing for Paschen discharge threshold. Testing for dielectric breakdown thresholds. Testing for tether arcing. 12. Testing in very dense plasmas (ie thruster plumes). 13. Arc mitigation strategies. Charging mitigation strategies. Models. 14. Analysis of test results. Finally, the necessity of testing will be emphasized, not to the exclusion of modeling, but as part of a complete strategy for determining when and if arcs will occur, and preventing them from occurring in space

    Prediction of exacerbation chronic bronchopulmonary diseases in children with influenza

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    The objective: To develop a method for predicting exacerbation of chronic illness in children with asthma and cystic fibrosis, patients with influenza, based on the study of the dynamics of cytokines.Β Materials and methods: Were examined 52 patients with bronchial asthma and 45 children with cystic fibrosis at the age from 1 year to 12 years, located in infectious pulmonary Department at the planned treatment of underlying pathology, in which influenza was in-hospital infection. Control group observations included 40 patients with the flu, without concomitant pulmonary disease.Β The etiology of viral infection was established by detection of viral RNA in nasopharyngeal swabs by PCR. Among the influenza viruses were identified influenza АH1N1, АH3N2, influenza B, and in 2009–2010 the predominant antigen was the pandemic influenza virus АH1N1pdm09.Β Determination of the concentration of serum interleukins IL-1Ξ², IL-4, IL-8, IL-10, Π’NF-Ξ±, IFN-Ξ³ was performed in the 1st and 3rd day of hospitalization cytokines by the solid-phase immune-enzyme assay. Analysis of the results performed using statistical package SPSS 17.0 EN for Windows.Β Results: The flu caused the aggravation associated bronchopulmonary pathology in 2/3 of children, as MV patients, and patients with BA (65,4%-66,7%, respectively). With an increase of the ratio of IL-4 / IFN-Ξ³ and IL-10/IFN-Ξ³, at least 5-6 times, influenza can be considered a trigger of exacerbation of chronic bronchopulmonary pathologies that require amplification of the therapy of bronchial asthma and of сystic fibrosis. The growth of prognostic coefficients in 2-3 times allows using for treatment of influenza in these patients only antiviral agents.Β Conclusion: The study has shown a method for predicting exacerbation of bronchial asthma and cystic fibrosis in children at an early stage of influenza by calculating the ratio of IL-4/IFN-Ξ³ and IL-10/IFN-Ξ³ in children aged from 1 year to 12 years

    First results from the JWST Early Release Science Program Q3D: Benchmark Comparison of Optical and Mid-IR Tracers of a Dusty, Ionized Red Quasar Wind at z=0.435

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    The [OIII] 5007 A emission line is the most common tracer of warm, ionized outflows in active galactic nuclei across cosmic time. JWST newly allows us to use mid-infrared spectral features at both high spatial and spectral resolution to probe these same winds. Here we present a comparison of ground-based, seeing-limited [OIII] and space-based, diffraction-limited [SIV] 10.51 micron maps of the powerful, kpc-scale outflow in the Type 1 red quasar SDSS J110648.32+480712.3. The JWST data are from the Mid-InfraRed Instrument (MIRI). There is a close match in resolution between the datasets (0."4--0."6), in ionization potential of the O+2 and S+3 ions (35 eV), and in line sensitivity (1e-17 to 2e-17 erg/s/cm2/arcsec2). The [OIII] and [SIV] line shapes match in velocity and linewidth over much of the 20 kpc outflowing nebula, and [SIV] is the brightest line in the rest-frame 3.5--19.5 micron range, demonstrating its usefulness as a mid-IR probe of quasar outflows. [OIII] is nevertheless intriniscally brighter and provides better contrast with the point-source continuum, which is strong in the mid-IR. There is a strong anticorrelation of [OIII]/[SIV] with average velocity, which is consistent with a scenario of differential obscuration between the approaching (blueshifted) and receding (redshifted) sides of the flow. The dust in the wind may also obscure the central quasar, consistent with models that attribute red quasar extinction to dusty winds.Comment: Submitted to ApJ

    ΠŸΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ обострСния хроничСских Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ»Π΅ΜˆΠ³ΠΎΡ‡Π½Ρ‹Ρ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΈΜ† ΠΏΡ€ΠΈ Π³Ρ€ΠΈΠΏΠΏΠ΅ Ρƒ Π΄Π΅Ρ‚Π΅ΠΈΜ†

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    The objective: To develop a method for predicting exacerbation of chronic illness in children with asthma and cystic fibrosis, patients with influenza, based on the study of the dynamics of cytokines.Β Materials and methods: Were examined 52 patients with bronchial asthma and 45 children with cystic fibrosis at the age from 1 year to 12 years, located in infectious pulmonary Department at the planned treatment of underlying pathology, in which influenza was in-hospital infection. Control group observations included 40 patients with the flu, without concomitant pulmonary disease.Β The etiology of viral infection was established by detection of viral RNA in nasopharyngeal swabs by PCR. Among the influenza viruses were identified influenza АH1N1, АH3N2, influenza B, and in 2009–2010 the predominant antigen was the pandemic influenza virus АH1N1pdm09.Β Determination of the concentration of serum interleukins IL-1Ξ², IL-4, IL-8, IL-10, Π’NF-Ξ±, IFN-Ξ³ was performed in the 1st and 3rd day of hospitalization cytokines by the solid-phase immune-enzyme assay. Analysis of the results performed using statistical package SPSS 17.0 EN for Windows.Β Results: The flu caused the aggravation associated bronchopulmonary pathology in 2/3 of children, as MV patients, and patients with BA (65,4%-66,7%, respectively). With an increase of the ratio of IL-4 / IFN-Ξ³ and IL-10/IFN-Ξ³, at least 5-6 times, influenza can be considered a trigger of exacerbation of chronic bronchopulmonary pathologies that require amplification of the therapy of bronchial asthma and of сystic fibrosis. The growth of prognostic coefficients in 2-3 times allows using for treatment of influenza in these patients only antiviral agents.Β Conclusion: The study has shown a method for predicting exacerbation of bronchial asthma and cystic fibrosis in children at an early stage of influenza by calculating the ratio of IL-4/IFN-Ξ³ and IL-10/IFN-Ξ³ in children aged from 1 year to 12 years. ЦСль: Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ способ прогнозирования обострСния основного заболСвания ΠΏΡ€ΠΈ Π³Ρ€ΠΈΠΏΠΏΠ΅ Ρƒ Π΄Π΅Ρ‚Π΅ΠΈΜ†, Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΈΜ† астмой ΠΈ муковисцидозом, Π½Π° основании изучСния Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ².Β ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: обслСдованы 52 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° с Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΈΜ† астмой ΠΈ 45 Π΄Π΅Ρ‚Π΅ΠΈΜ† с муковисцидозом Π² возрастС ΠΎΡ‚ 1 Π³ΠΎΠ΄Π° Π΄ΠΎ 12 Π»Π΅Ρ‚, Π½Π°Ρ…ΠΎΠ΄ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π² ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎ-ΠΏΡƒΠ»ΡŒΠΌΠΎΠ½ΠΎΠ»ΠΎΠ³ΠΈΡ‡Π΅ΡΠΊΠΎΠΌ ΠΎΡ‚Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π½Π° ΠΏΠ»Π°Π½ΠΎΠ²ΠΎΠΌ Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ основной ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ, Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π³Ρ€ΠΈΠΏΠΏ являлся Π³ΠΎΡΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠΈΜ† ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠ΅ΠΈΜ†. ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ Π½Π°Π±Π»ΡŽΠ΄Π΅Π½ΠΈΠΈΜ† составили 40 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π³Ρ€ΠΈΠΏΠΏΠΎΠΌ, Π½ΠΎ Π±Π΅Π· ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ»Π΅Π³ΠΎΡ‡Π½Ρ‹Ρ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΈΜ†. Этиология вирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ ΡƒΡΡ‚Π°Π½Π°Π²Π»ΠΈΠ²Π°Π»Π°ΡΡŒ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ вирус-спСцифичСской РНК Π² носоглоточных смывах ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ПЦР. Π‘Ρ€Π΅Π΄ΠΈ вирусов Π³Ρ€ΠΈΠΏΠΏΠ° ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»ΠΈΡΡŒ АH1N1, АH3N2, Π’, Π° Π² 2009–2010 Π³Π³. ΠΏΡ€Π΅ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‰ΠΈΠΌ Π°Π½Ρ‚ΠΈΠ³Π΅Π½ΠΎΠΌ являлся вирус пандСмичСского Π³Ρ€ΠΈΠΏΠΏΠ° АH1N1pdm09.Β ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ содСрТания Π² сывороткС ΠΊΡ€ΠΎΠ²ΠΈ ΠΈΠ½Ρ‚Π΅Ρ€Π»Π΅ΠΈΜ†ΠΊΠΈΠ½ΠΎΠ² IL-1Ξ², IL-4, IL-8, IL-10, Π’NF-Ξ±, IFN-Ξ³ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ Π² 1-ΠΈΜ† ΠΈ 3-ΠΈΜ† дСнь госпитализации «сэндвич»-ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Ρ‚Π²Π΅Ρ€Π΄ΠΎΡ„Π°Π·Π½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡƒΠ½ΠΎΡ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. БтатистичСская ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° с ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ SPSS 17.0 RU for Windows.Β Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: Π³Ρ€ΠΈΠΏΠΏ Π²Ρ‹Π·Ρ‹Π²Π°Π» обострСниС ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΈΜ† Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ»Π΅Π³ΠΎΡ‡Π½ΠΎΠΈΜ† ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ Ρƒ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π° Π΄Π΅Ρ‚Π΅ΠΈΜ†, Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΊΠ°ΠΊ муковисцидозом, Ρ‚Π°ΠΊ ΠΈ Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΈΜ† астмой (65,4% ΠΈ 66,7% соотвСтствСнно). ΠŸΡ€ΠΈ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠΈ коэффициСнта ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ IL-4/IFN-Ξ³ ΠΈ IL-10/IFN-Ξ³ ΠΊΠ°ΠΊ ΠΌΠΈΠ½ΠΈΠΌΡƒΠΌ Π² 5–6 Ρ€Π°Π· Π³Ρ€ΠΈΠΏΠΏ ΠΌΠΎΠΆΠ΅Ρ‚ ΡΡ‡ΠΈΡ‚Π°Ρ‚ΡŒΡΡ Ρ‚Ρ€ΠΈΠ³Π³Π΅Ρ€ΠΎΠΌ обострСния ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰Π΅ΠΈΜ† хроничСской Π±Ρ€ΠΎΠ½Ρ…ΠΎΠ»Π΅Π³ΠΎΡ‡Π½ΠΎΠΈΜ† ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ. НарастаниС прогностичСских коэффициСнтов Π² 2–3 Ρ€Π°Π·Π° позволяСт ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡ΠΈΡ‚ΡŒ Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π³Ρ€ΠΈΠΏΠΏΠ° Ρƒ Π΄Π°Π½Π½ΠΎΠΈΜ† ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… противовирусными срСдствами.Β Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: прСдставлСн способ прогнозирования обострСния Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΈΜ† астмы ΠΈ муковисцидоза Ρƒ Π΄Π΅Ρ‚Π΅ΠΈΜ† Π½Π° Ρ€Π°Π½Π½Π΅ΠΈΜ† стадии Π³Ρ€ΠΈΠΏΠΏΠ° с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ расчСта коэффициСнтов ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ IL-4/IFN-Ξ³ ΠΈ IL-10/IFN-Ξ³ Ρƒ Π΄Π΅Ρ‚Π΅ΠΈΜ† Π² возрастС ΠΎΡ‚ 1 Π³ΠΎΠ΄Π° Π΄ΠΎ 12 Π»Π΅Ρ‚.
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