5,534 research outputs found
Characteristics of Magnetohydrodynamic Oscillations Observed with Michelson Doppler Imager
We report on the spatial distribution of magnetogram oscillatory power and
phase angles between velocity and magnetogram signals as observed with the
Michelson Doppler Imager. The dataset is 151.25 arcsec times 151.25 arcsec
containing sunspot from Dec 2, 1997 with a temporal sampling interval of 60
seconds and spatial sampling of 0.605 arcsec. Simultaneously observed continuum
intensity and surface velocity accompany the magnetic information. We focus on
three frequency regimes: 0.5-1.0, 3.0-3.5 and 5.5-6.0 mHz corresponding roughly
to timescales of magnetic evolution, p-modes and the 3 minute resonant sunspot
oscillation. Significant low frequency magnetogram power is found in lower flux
pixels, 100-300 Gauss, in a striking ring with filamentary structure
surrounding sunspot. Five minute magnetogram power peaks in extended regions of
flux 600-800 Gauss. The 3 minute oscillation is observed in sunspot umbra in
pixels whose flux measures 1300-1500 Gauss. Phase angles of approximately -90
degrees between velocity and magnetic flux in the 3.0-3.5 and 5.5-6.0 mHz
regimes are found in regions of significant cross amplitude.Comment: 4 Pages, 4 Figures -- For better Figure files see:
http://www.astro.ucla.edu/~norton/pub_list.htm
Can Carbon Find a Home on the Range?
Resource /Energy Economics and Policy,
Non-immune fetal hydrops: etiology and outcome according to gestational age at diagnosis.
OBJECTIVE: Fetal hydrops is associated with increased perinatal morbidity and mortality. The etiology and outcome of fetal hydrops may differ according to the gestational age at diagnosis. The aim of this study was to evaluate the cause, evolution and outcome of non-immune fetal hydrops (NIFH), according to the gestational age at diagnosis. METHODS: This was a retrospective cohort study of all singleton pregnancies complicated by NIFH, at the Fetal Medicine Unit at St George's University Hospital, London, UK, between 2000 and 2018. All fetuses had detailed anomaly and cardiac ultrasound scans, karyotyping and infection screening. Prenatal diagnostic and therapeutic intervention, gestational age at diagnosis and delivery, as well as pregnancy outcome, were recorded. Regression analysis was used to test for potential association between possible risk factors and perinatal mortality. RESULTS: We included 273 fetuses with NIFH. The etiology of the condition varied significantly in the three trimesters. Excluding 30 women who declined invasive testing, the cause of NIFH was defined as unknown in 62 of the remaining 243 cases (25.5%). Chromosomal aneuploidy was the most common cause of NIFH in the first trimester. It continued to be a significant etiologic factor in the second trimester, along with congenital infection. In the third trimester, the most common etiology was cardiovascular abnormality. Among the 152 (55.7%) women continuing the pregnancy, 48 (31.6%) underwent fetal intervention, including the insertion of pleuroamniotic shunts, fetal blood transfusion and thoracentesis. Fetal intervention was associated significantly with lower perinatal mortality (odds ratio (OR), 0.30 (95%âCI, 0.14-0.61); Pââ0.05). CONCLUSIONS: An earlier gestational age at diagnosis of NIFH was associated with an increased risk of aneuploidy and worse pregnancy outcome, including a higher risk of perinatal loss. Fetal therapy was associated significantly with lower perinatal mortality. Š 2020 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology
Fabrication, characterisation and stability of oil-in-water emulsions stabilised by solid lipid particles: the role of particle characteristics and emulsion microstructure upon Pickering functionality
Emulsifier-mediated wettability of solid lipid particles promotes the Pickering functionality in oil-in-water emulsions.</p
A CFD based approach for determination of ammonia concentration profile and flux from poultry houses with natural ventilation
The understanding of concentration and emissions distribution of gases such as ammonia (NH3) in agricultural installations is of growing importance due to its effect on health and productivity of animals and workers. The objective of this study was to use validated Computational Fluid Dynamics (CFD) model as a tool to predict NH3 concentration distribution and mass fluxes in a non-insulated broiler chicken installation with natural ventilation, typically found in subtropical and tropical contries. Results from this study indicated that simulation with CFD can be used to predict NH3 concentration distribution and mass flux inside similar installations with incident winds from different directions of entrance at the lateral opening of the installation. The most direct application of the proposed mode would be to help improving the existing buildings and also to help in the conception of new ones, and may also apply the model to help in the development of NH3 emission inventories
Techniques for assessing the performance of a landscape-based sediment source and transport model: sensitivity trials and physical methods
Widespread degradation of aquatic habitat and water quality has occurred since European settlement of Australia. Repairing this degradation is expensive and hence on-ground management needs to be carefully focussed. The Sediment River Network model, SedNet, used for the estimation of the sources and transport of sediment spatially and at catchment scales, potentially provides a useful tool to assist land managers in focusing this work. The complete model, whilst broadly applied has not been systematically tested to assess its accuracy or sensitivity to its various model components. The aim of this paper is to propose a framework for such testing. Results from the work will be used to prioritise data acquisition, and improve the structure and parameterisation of the model where necessary. The research is also particularly relevant for shifting application of the model from continental to catchment scales. The testing will comprise two components - sensitivity assessment and accuracy assessment. This paper provides a brief introduction to the SedNet model and a framework for assessing the model. Examples of sensitivity assessment and accuracy assessment are provided and discussed
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