Texas Christian University

About: Texas Christian University is a education organization based out in Fort Worth, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3245 authors who have published 8258 publications receiving 282216 citations. The organization is also known as: TCU & Texas Christian University, TCU.

The Apache Point Observatory Galactic Evolution Experiment (APOGEE) high-resolution near-infrared multi-object fiber spectrograph

Abstract: The Apache Point Observatory Galactic Evolution Experiment (APOGEE) will use a dedicated 300-fiber, narrow-band (1.5-1.7 micron), high resolution (R~30,000), near-infrared spectrograph to survey approximately 100,000 giant stars across the Milky Way. This survey, conducted as part of the Sloan Digital Sky Survey III (SDSS III), will revolutionize our understanding of kinematical and chemical enrichment histories of all Galactic stellar populations. The instrument, currently in fabrication, will be housed in a separate building adjacent to the 2.5 m SDSS telescope and fed light via approximately 45-meter fiber runs from the telescope. The instrument design includes numerous technological challenges and innovations including a gang connector that allows simultaneous connection of all fibers with a single plug to a telescope cartridge that positions the fibers on the sky, numerous places in the fiber train in which focal ratio degradation must be minimized, a large (290 mm x 475 mm elliptically-shaped recorded area) mosaic-VPH, an f/1.4 sixelement refractive camera featuring silicon and fused silica elements with diameters as large as 393 mm, three near-within a custom, LN2-cooled, stainless steel vacuum cryostat with dimensions 1.4 m x 2.3 m x 1.3 m.

How consumer shopping orientation influences perceived crowding, excitement, and stress at the mall

Abstract: While a few researchers have started to chip away at the notion that retail density is always negative, extant studies do not empirically address the question of why some shoppers respond negatively to a specific level of density while others respond positively. We examine this issue by drawing upon field theory (Lewin 1939) to shed light on how shoppers vary in terms of deeper motives (McClelland 1953) to seek control or intimacy with others in retail mall settings, and whether these motives influence shopping orientations. Shopping orientation is then hypothesized to affect perceptions of crowding, and, in turn, subsequent affective responses to the mall shopping experience. Moreover, we examine whether individual differences (gender and age) can help retailers segment those with different shopping orientations and the motives that influence these orientations. We found that task and social shopping orientations were influenced by deeper motives for control and intimacy. The causal relationships between shopping motive, shopping orientation, and consumers’ affective responses of stress and excitement were also discovered. Finally, we address theoretical and managerial implications of our results.

Facebook versus television: advertising value perceptions among females

Abstract: Purpose – The purpose of this paper is to compare female students' perceptions of the value of advertising on social network sites (SNSs) to their perceptions of the value of television advertisingDesign/methodology/approach – An online questionnaire was fielded among students from three major universities in the USA, as well as SNSs (Facebook, LinkedIn, and Twitter) The final sample (n=259) was comprised of female students who had used social media and television during the past month The authors developed two structural equation models using Amos 18 statistical softwareFindings – The analysis indicated that Ducoffe's Ad Value model does not provide a good fit for assessing advertising value in social media or television While Irritation was a factor in assessing Attitude toward advertising, the respondents assessed ad value on the basis of Entertainment (higher for social media) and Informativeness (higher for television)Research limitations/implications – In examining the relative importance of e

Exploring Anticorrelations And Light Element Variations In Northern Globular Clusters Observed By The APOGEE Survey

Abstract: We investigate the light-element behavior of red giant stars in northern globular clusters (GCs) observed by the SDSS-III Apache Point Observatory Galactic Evolution Experiment. We derive abundances of 9 elements (Fe, C, N, O, Mg, Al, Si, Ca, and Ti) for 428 red giant stars in 10 GCs. The intrinsic abundance range relative to measurement errors is examined, and the well-known C–N and Mg–Al anticorrelations are explored using an extreme-deconvolution code for the first time in a consistent way. We find that Mg and Al drive the population membership in most clusters, except in M107 and M71, the two most metal-rich clusters in our study, where the grouping is most sensitive to N. We also find a diversity in the abundance distributions, with some clusters exhibiting clear abundance bimodalities (for example M3 and M53) while others show extended distributions. The spread of Al abundances increases significantly as cluster average metallicity decreases as previously found by other works, which we take as evidence that low metallicity, intermediate mass AGB polluters were more common in the more metal-poor clusters. The statistically significant correlation of [Al/Fe] with [Si/Fe] in M15 suggests that 28Si leakage has occurred in this cluster. We also present C, N, and O abundances for stars cooler than 4500 K and examine the behavior of A(C+N+O) in each cluster as a function of temperature and [Al/Fe]. The scatter of A(C+N +O) is close to its estimated uncertainty in all clusters and independent of stellar temperature. A(C+N+O) exhibits small correlations and anticorrelations with [Al/Fe] in M3 and M13, but we cannot be certain about these relations given the size of our abundance uncertainties. Star-to-star variations of a-element (Si, Ca, Ti) abundances are comparable to our estimated errors in all clusters.