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<i>SPITZER</i>AND HEINRICH HERTZ TELESCOPE OBSERVATIONS OF STARLESS CORES: MASSES AND ENVIRONMENTS
Stutz, Amelia M.,Rieke, George H.,Bieging, John H.,Balog, Zoltan,Heitsch, Fabian,Kang, Miju,Peters, William L.,Shirley, Yancy L.,Werner, Michael W. IOP Publishing 2009 The Astrophysical journal Vol.707 No.1
<P>We present Spitzer observations of a sample of 12 starless cores selected to have prominent 24 mu m shadows. The Spitzer images show 8 mu m and 24 mu m shadows and in some cases 70 mu m shadows; these spatially resolved absorption features trace the densest regions of the cores. We have carried out a (CO)-C-12 (2-1) and (CO)-C-13 (2-1) mapping survey of these cores with the Heinrich Hertz Telescope (HHT). We use the shadow features to derive optical depth maps. We derive molecular masses for the cores and the surrounding environment; we find that the 24 mu m shadow masses are always greater than or equal to the molecular masses derived in the same region, a discrepancy likely caused by CO freezeout onto dust grains. We combine this sample with two additional cores that we studied previously to bring the total sample to 14 cores. Using a simple Jeans mass criterion, we find that similar to 2/3 of the cores selected to have prominent 24 mu m shadows are collapsing or near collapse, a result that is supported by millimeter line observations. Of this subset at least half have indications of 70 mu m shadows. All cores observed to produce absorption features at 70 mu m are close to collapse. We conclude that 24 mu m shadows, and even more so the 70 mu m ones, are useful markers of cloud cores that are approaching collapse.</P>
Nuria P Torres-Aguila,Caty Carrera,Elena Muiño,Natalia Cullell,Jara Cárcel-Márquez,Cristina Gallego-Fabrega,Jonathan González-Sánchez,Alejandro Bustamante,Pilar Delgado,Laura Ibañez,Laura Heitsch,Jerz 대한뇌졸중학회 2019 Journal of stroke Vol.21 No.3
Stroke is a complex disease and one of the main causes of morbidity and mortality among the adult population. A huge variety of factors is known to influence patient outcome, including demographic variables, comorbidities or genetics. In this review, we expound what is known about the influence of clinical variables and related genetic risk factors on ischemic stroke outcome, focusing on acute and subacute outcome (within 24 to 48 hours after stroke and until day 10, respectively), as they are the first indicators of stroke damage. We searched the PubMed data base for articles that investigated the interaction between clinical variables or genetic factors and acute or subacute stroke outcome. A total of 61 studies were finally included in this review. Regarding the data collected, the variables consistently associated with acute stroke outcome are: glucose levels, blood pressure, presence of atrial fibrillation, prior statin treatment, stroke severity, type of acute treatment performed, severe neurological complications, leukocyte levels, and genetic risk factors. Further research and international efforts are required in this field, which should include genome-wide association studies.