6,838 research outputs found

    Some Aspects of Measurement Error in Linear Regression of Astronomical Data

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    I describe a Bayesian method to account for measurement errors in linear regression of astronomical data. The method allows for heteroscedastic and possibly correlated measurement errors, and intrinsic scatter in the regression relationship. The method is based on deriving a likelihood function for the measured data, and I focus on the case when the intrinsic distribution of the independent variables can be approximated using a mixture of Gaussians. I generalize the method to incorporate multiple independent variables, non-detections, and selection effects (e.g., Malmquist bias). A Gibbs sampler is described for simulating random draws from the probability distribution of the parameters, given the observed data. I use simulation to compare the method with other common estimators. The simulations illustrate that the Gaussian mixture model outperforms other common estimators and can effectively give constraints on the regression parameters, even when the measurement errors dominate the observed scatter, source detection fraction is low, or the intrinsic distribution of the independent variables is not a mixture of Gaussians. I conclude by using this method to fit the X-ray spectral slope as a function of Eddington ratio using a sample of 39 z < 0.8 radio-quiet quasars. I confirm the correlation seen by other authors between the radio-quiet quasar X-ray spectral slope and the Eddington ratio, where the X-ray spectral slope softens as the Eddington ratio increases.Comment: 39 pages, 11 figures, 1 table, accepted by ApJ. IDL routines (linmix_err.pro) for performing the Markov Chain Monte Carlo are available at the IDL astronomy user's library, http://idlastro.gsfc.nasa.gov/homepage.htm

    Parametric test of a zirconium (4) oxide-polyacrylic acid dual layer hyperfiltration membrane with spacecraft washwater

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    Performance data consisting of solute rejections and product flux were measured, as dependent on the operation parameters. These parameters and ranges were pressure (500,000 n/m2 to 700,000 n/m2), temperature (74 C to 95 C), velocity (1.6 M/sec to 10 M/sec), and concentration (up to 14x). Tests were carried out on analog washwater. Data presented include rejections of organic materials, ammonia, urea, and an assortment of ions. The membrane used was deposited in situ on a porcelain ceramic substrate

    Understanding Differences in Medical Versus Surgical Patients Alerted by the Modified Early Warning Score (MEWS) at Jefferson Hospital

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    An Early Warning Score (EWS) is a risk-management tool to identify patients experiencing clinical deterioration early, therefore allowing timely treatment to occur. Although EWS scores are recommended for all in-patients, more data is available for patients under general medical services compared to surgical services. This study aims to understand differences between medical versus surgical in-patients who receive a red alert from the Modified Early Warning Score (MEWS) at Jefferson hospital. Patients who received a red MEWS alert during admission and discharged between June 2017 to March 2018 (N=812) were categorized as medical or surgical patients. Patient characteristics were compared using an independent samples t-test (age, alert count) or chi-square test (sex, race, admission source, insurance). Patient outcomes were compared using a binary logistic regression (in-hospital mortality, RRT, sepsis diagnosis, ICU transfer, intubation, discharge to hospice) or a Cox regression model (length of stay), controlling for age, sex, and race. Compared to medical patients, surgical patients were younger by 2.7 years (p=0.026) and more likely to have a Commercial and/or Medicare category of insurance (OR=1.568, p=0.005). Surgical patients were more likely to have ICU transfer (OR=1.487, p=0.013) and intubation post-alert (OR=2.470, p=0.006), while less likely to be discharged early (HR=0.675,

    The Cross-Wavelet Transform and Analysis of Quasiperiodic Behavior in the Pearson-Readhead VLBI Survey Sources

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    We introduce an algorithm for applying a cross-wavelet transform to analysis of quasiperiodic variations in a time-series, and introduce significance tests for the technique. We apply a continuous wavelet transform and the cross-wavelet algorithm to the Pearson-Readhead VLBI survey sources using data obtained from the University of Michigan 26-m parabloid at observing frequencies of 14.5, 8.0, and 4.8 GHz. Thirty of the sixty-two sources were chosen to have sufficient data for analysis, having at least 100 data points for a given time-series. Of these thirty sources, a little more than half exhibited evidence for quasiperiodic behavior in at least one observing frequency, with a mean characteristic period of 2.4 yr and standard deviation of 1.3 yr. We find that out of the thirty sources, there were about four time scales for every ten time series, and about half of those sources showing quasiperiodic behavior repeated the behavior in at least one other observing frequency.Comment: Revised version, accepted by ApJ. 17 pages, 13 figures, color figures included as gifs, seperate from the text. The addition of statistical significance tests has resulted in modifying the technique and results, but the broad conclusion remain the same. A high resolution version may be found at http://www.astro.lsa.umich.edu/obs/radiotel/prcwdata.htm

    Structure and expression of two nuclear receptor genes in marsupials: insights into the evolution of the antisense overlap between the Ī±-thyroid hormone receptor and Rev-erbĪ±

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    <p>Abstract</p> <p>Background</p> <p>Alternative processing of Ī±-thyroid hormone receptor (TRĪ±, NR1A1) mRNAs gives rise to two functionally antagonistic nuclear receptors: TRĪ±1, the Ī±-type receptor, and TRĪ±2, a non-hormone binding variant that is found only in mammals. TRĪ±2 shares an unusual antisense coding overlap with mRNA for Rev-erbĪ± (NR1D1), another nuclear receptor protein. In this study we examine the structure and expression of these genes in the gray short-tailed opossum, <it>Monodelphis domestica</it>, in comparison with that of eutherian mammals and three other marsupial species, <it>Didelphis virginiana, Potorous tridactylus </it>and <it>Macropus eugenii</it>, in order to understand the evolution and regulatory role of this antisense overlap.</p> <p>Results</p> <p>The sequence, expression and genomic organization of mRNAs encoding TRĪ±1 and Rev-erbĪ± are very similar in the opossum and eutherian mammals. However, the sequence corresponding to the TRĪ±2 coding region appears truncated by almost 100 amino acids. While expression of TRĪ±1 and Rev-erbĪ± was readily detected in all tissues of <it>M. domestica </it>ages 0 days to 18 weeks, TRĪ±2 mRNA was not detected in any tissue or stage examined. These results contrast with the widespread and abundant expression of TRĪ±2 in rodents and other eutherian mammals. To examine requirements for alternative splicing of TRĪ± mRNAs, a series of chimeric minigenes was constructed. Results show that the opossum TRĪ±2-specific 5' splice site sequence is fully competent for splicing but the sequence homologous to the TRĪ±2 3' splice site is not, even though the marsupial sequences are remarkably similar to core splice site elements in rat.</p> <p>Conclusions</p> <p>Our results strongly suggest that the variant nuclear receptor isoform, TRĪ±2, is not expressed in marsupials and that the antisense overlap between TRĪ± and Rev-erbĪ± thus is unique to eutherian mammals. Further investigation of the TRĪ± and Rev-erbĪ± genes in marsupial and eutherian species promises to yield additional insight into the physiological function of TRĪ±2 and the role of the associated antisense overlap with Rev-erbĪ± in regulating expression of these genes.</p

    Three-Dimensional Spin-Orbit Coupling in a Trap

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    We investigate the properties of an atom under the influence of a synthetic three-dimensional spin-orbit coupling (Weyl coupling) in the presence of a harmonic trap. The conservation of total angular momentum provides a numerically efficient scheme for finding the spectrum and eigenfunctions of the system. We show that at large spin-orbit coupling the system undergoes dimensional reduction from three to one dimension at low energies, and the spectrum is approximately Landau level-like. At high energies, the spectrum is approximately given by the three-dimensional isotropic harmonic oscillator. We explore the properties of the ground state in both position and momentum space. We find the ground state has spin textures with oscillations set by the spin-orbit length scale

    Dust SEDs in the era of Herschel and Planck: a Hierarchical Bayesian fitting technique

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    We present a hierarchical Bayesian method for fitting infrared spectral energy distributions (SEDs) of dust emission to observed fluxes. Under the standard assumption of optically thin single temperature (T) sources the dust SED as represented by a power--law modified black body is subject to a strong degeneracy between T and the spectral index beta. The traditional non-hierarchical approaches, typically based on chi-square minimization, are severely limited by this degeneracy, as it produces an artificial anti-correlation between T and beta even with modest levels of observational noise. The hierarchical Bayesian method rigorously and self-consistently treats measurement uncertainties, including calibration and noise, resulting in more precise SED fits. As a result, the Bayesian fits do not produce any spurious anti-correlations between the SED parameters due to measurement uncertainty. We demonstrate that the Bayesian method is substantially more accurate than the chi-square fit in recovering the SED parameters, as well as the correlations between them. As an illustration, we apply our method to Herschel and sub millimeter ground-based observations of the star-forming Bok globule CB244. This source is a small, nearby molecular cloud containing a single low-mass protostar and a starless core. We find that T and beta are weakly positively correlated -- in contradiction with the chi-square fits, which indicate a T-beta anti-correlation from the same data-set. Additionally, in comparison to the chi-square fits the Bayesian SED parameter estimates exhibit a reduced range in values.Comment: 20 pages, 9 figures, ApJ format, revised version matches ApJ-accepted versio

    Force of Beauty or Object of Desire? The Priming Effects of Makeup Video Advertisements on Self-Objectification in College Women

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    Women are too often valued for their beauty and have shifted their focus from character to body improvement (Brumberg, 1998). Objectification theory (Frederickson & Roberts, 1997) posits that sexual objectification socializes females to evaluate themselves based on looks. Self-objectification is the attempt to control this external perception by monitoring oneā€™s physical appearance. Women are more likely to think ā€œHow do I look?ā€ than ā€œWhat am I capable of?ā€ The priming effects of positive and negative body-focused makeup advertisements on college-aged womenā€™s level of self-objectification were examined in two separate studies. In study one, 87 participants viewing positive vs. negative advertisements reported more traits and abilities; this was especially true for high self-objectifiers. Participants viewing positive advertisements reported more positive emotions, suggesting the salutary role that positive messaging may play. Results were replicated in study two, with 172 participants who viewed positive vs. negative advertisements reporting significantly fewer body shape statements, more trait and abilities, as well as more physical competence statements. In addition, individuals who viewed advertisements with non-objectifying content responded with a significantly greater number of positively valenced statements and significantly fewer negative statements about themselves in comparison to women who viewed objectifying advertisements. These results suggest that marketers should eschew advertising that sexually objectifies women and promotes unattainable beauty goals. Future research should evaluate cumulative and long-term effects of advertisement and examine whether exposure that leads to lower levels of objectification also minimizes negative consequences associated with objectifying media influences (e.g., body shame, depression, eating disorder)
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