3,998 research outputs found

    Discovery of Resolved Debris Disk Around HD 131835

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    We report the discovery of the resolved disk around HD 131835 and present the analysis and modeling of its thermal emission. HD 131835 is a ~15 Myr A2 star in the Scorpius-Centaurus OB association at a distance of 122.7 +16.2 -12.8 parsec. The extended disk has been detected to ~1.5" (200 AU) at 11.7 {\mu}m and 18.3 {\mu}m with T-ReCS on Gemini South. The disk is inclined at an angle of ~75{\deg} with the position angle of ~61{\deg}. The flux of HD 131835 system is 49.3+-7.6 mJy and 84+-45 mJy at 11.7 {\mu}m and 18.3 {\mu}m respectively. A model with three grain populations gives a satisfactory fit to both the spectral energy distribution and the images simultaneously. This best-fit model is composed of a hot continuous power-law disk and two rings. We characterized the grain temperature profile and found that the grains in all three populations are emitting at temperatures higher than blackbodies. In particular, the grains in the continuous disk are unusually warm; even when considering small graphite particles as the composition.Comment: 11 pages, 5 figures, Accepted for Publication in Ap

    The Study of PPAL and its Role in the Development of Physcomitrella patens

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    Protein Prenylation is the addition of lipids to select proteins that play a key role during the development of plants. There are three enzymes that play a role in protein prenylation: protein farnesyltransferase (PFT), protein geranylgeranyl-transferase-I (PGGT), and Rab geranylgeranyltransferase (Rab-GGT). However, there is a protein called PPAL that has a similar alpha subunit of PFT, PGGT, and RAB-GGT but its biochemical function is unknown. Physconmitrella patens, a type of moss, was chosen to explore the role of PpPPAL in the development process. There are two copies of PPAL found in moss. PPAL1 and PPAL2. To study the role of these genes, a partial knockdown line was created where one or both alpha and beta subunit genes was reduced. An artificial microRNA was created to target the PpPPAL1 and PpPPAL2 genes and was introduced into the moss via a plasmid. Once the microRNA was inserted into the moss, the moss was grown in DMSO/ beta-estradiol medium to start the suppression of gene expression. The results showed that the knockout of PpPPAL 1 and PpPPAL 2 inhibits the growth and propagation of physconmitrella patens. They also resulted in a few gametophore contents. The result indicates that PPAL plays an important role in the developmental process in P.patents. The role of PPAL in protein prenylation of physconmitrella patens give insights into how prenylation works in humans since defects in prenylation can lead to health problemshttps://ir.library.louisville.edu/uars/1069/thumbnail.jp

    Superficial papular neuroma: Case series of a new entity

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138273/1/cup12981.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138273/2/cup12981_am.pd

    Investigation of discrepancies in satellite rainfall estimates over Ethiopia

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    Tropical Applications of Meteorology Using Satellite and Ground-Based Observations (TAMSAT) rainfall estimates are used extensively across Africa for operational rainfall monitoring and food security applications; thus, regional evaluations of TAMSAT are essential to ensure its reliability. This study assesses the performance of TAMSAT rainfall estimates, along with the African Rainfall Climatology (ARC), version 2; the Tropical Rainfall Measuring Mission (TRMM) 3B42 product; and the Climate Prediction Center morphing technique (CMORPH), against a dense rain gauge network over a mountainous region of Ethiopia. Overall, TAMSAT exhibits good skill in detecting rainy events but underestimates rainfall amount, while ARC underestimates both rainfall amount and rainy event frequency. Meanwhile, TRMM consistently performs best in detecting rainy events and capturing the mean rainfall and seasonal variability, while CMORPH tends to overdetect rainy events. Moreover, the mean difference in daily rainfall between the products and rain gauges shows increasing underestimation with increasing elevation. However, the distribution in satellite–gauge differences demon- strates that although 75% of retrievals underestimate rainfall, up to 25% overestimate rainfall over all eleva- tions. Case studies using high-resolution simulations suggest underestimation in the satellite algorithms is likely due to shallow convection with warm cloud-top temperatures in addition to beam-filling effects in microwave- based retrievals from localized convective cells. The overestimation by IR-based algorithms is attributed to nonraining cirrus with cold cloud-top temperatures. These results stress the importance of understanding re- gional precipitation systems causing uncertainties in satellite rainfall estimates with a view toward using this knowledge to improve rainfall algorithms
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