219 research outputs found
Model Averaging Software for Dichotomous Dose Response Risk Estimation
Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation. We introduce software that implements model averaging for risk assessment based upon dichotomous dose-response data. This software, which we call Model Averaging for Dichotomous Response Benchmark Dose (MADr-BMD), fits the quantal response models, which are also used in the US Environmental Protection Agency benchmark dose software suite, and generates a model-averaged dose response model to generate benchmark dose and benchmark dose lower bound estimates. The software fulfills a need for risk assessors, allowing them to go beyond one single model in their risk assessments based on quantal data by focusing on a set of models that describes the experimental data.
Model Averaging Software for Dichotomous Dose Response Risk Estimation
Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation. We introduce software that implements model averaging for risk assessment based upon dichotomous dose-response data. This software, which we call Model Averaging for Dichotomous Response Benchmark Dose (MADr-BMD), fits the quantal response models, which are also used in the US Environmental Protection Agency benchmark dose software suite, and generates a model-averaged dose response model to generate benchmark dose and benchmark dose lower bound estimates. The software fulfills a need for risk assessors, allowing them to go beyond one single model in their risk assessments based on quantal data by focusing on a set of models that describes the experimental data
Web Application to Investigate Butler County Overdose Death Data
Background: Drug overdose deaths, specifically opioid-related deaths, are a public health crisis in the United States with high incidence observed in many Midwestern states, including Ohio. Butler County, Ohio, has the third highest opioid-related death rate in the state. Information on overdose deaths, collected by the county coroner, can serve as a data source for analysis of this public health concern. Given this access, stakeholders can investigate trends in their community for their idiosyncratic interest.Methods: A web application was developed, using the R Shiny package, to visualize and explore the characteris-tics of all overdose deaths in Butler County between 2013 and 2018. Demographics of the decedents, drugs found in the decedents’ postmortem toxicology analyses, annual trends in overdose deaths, and the location of these cases can be examined.Results: The web application provides a graphical user interface that allows a user to request specific analyses and summaries. “Who is dying from opioid overdoses?,” “What drugs, including opioids, are found in people dying from drug overdoses?,” and “Has the number of opioid involved deaths increased in a specific community over time?” are examples of questions that can be explored using this application.Conclusion: This application empowers both the public and local policymakers to investigate the impact of overdose deaths on their communities. Understanding characteristics of the epidemic is an important first step to addressing this problem. The expansion of this application to include other counties in Ohio could be truly beneficial to communities that need it
Worker Injuries and Safety Equipment in Ohio Nursing Homes
A survey of nursing homes was conducted in 2006 to evaluate a number of facility-specific characteristics including worker injury rates. The nursing home worker injury rate was 6.6 per 100 workers with higher injury rates observed in larger facilities, homes that were part of chains and homes with a higher proportion of wheelchair bound residents. A broad range of patient-transfer safety equipment was observed to be in use; however, the presence of these devices were not predictive of lower worker injury rates
Balmer filaments in Tycho's supernova remnant: an interplay between cosmic-ray and broad-neutral precursors
We present H spectroscopic observations and detailed modelling of the
Balmer filaments in the supernova remnant Tycho. We used Galaxy H
Fabry-P\'erot Spectrometer on the William Herschel Telescope with a
3.4'3.4' field-of-view, 0.2" pixel scale and \sigma_\rm{instr}=8.1
km/s resolution at 1" seeing for hours, resulting in 82
spatial-spectral bins that resolve the narrow H line in the entire
Tycho's northeastern rim. For the first time, we can mitigate artificial line
broadening from unresolved differential motion, and probe H emission
parameters in varying shock and ambient medium conditions. Broad H line
remains unresolved within spectral coverage of 392 km/s. We employed Bayesian
inference to obtain reliable parameter confidence intervals, and quantify the
evidence for models with multiple line components. The median H
narrow-line full-width at half-maximum of all bins and models is
W_\rm{NL}=(54.8\pm1.8) km/s at the confidence level, varying within
[35, 72] km/s between bins and clearly broadened compared to the intrinsic
(thermal) km/s. Possible line splits are accounted for, significant
in of the filament, and presumably due to remaining projection
effects. We also find wide-spread evidence for intermediate-line emission of a
broad-neutral precursor, with median W_\rm{IL}=(180\pm14) km/s (
confidence). Finally, we present a measurement of the remnant's systemic
velocity, V_\rm{LSR}=-34 km/s, and map differential line-of-sight motions.
Our results confirm the existence and interplay of shock precursors in Tycho's
remnant. In particular, we show that suprathermal narrow-line emission is
near-universal in Tycho and that, in absence of an alternative explanation,
collisionless supernova remnant shocks constitute a viable acceleration source
for Galactic TeV Cosmic-Ray protons.Comment: 36 pages, 17 figures, 5 tables, Paper accepted for publication in the
Astrophysical Journal; References correcte
Balmer-dominated shocks in Tycho's SNR: omnipresence of CRs
We present wide-field, spatially and highly resolved spectroscopic
observations of Balmer filaments in the northeastern rim of Tycho's supernova
remnant in order to investigate the signal of cosmic-ray (CR) acceleration. The
spectra of Balmer-dominated shocks (BDSs) have characteristic narrow (FWHM
10 kms) and broad (FWHM 1000 kms) H
components. CRs affect the H-line parameters: heating the cold neutrals
in the interstellar medium results in broadening of the narrow H-line
width beyond 20 kms, but also in reduction of the broad H-line
width due to energy being removed from the protons in the post-shock region.
For the first time we show that the width of the narrow H line, much
larger than 20 kms, is not a resolution or geometric effect nor a
spurious result of a neglected intermediate (FWHM 100 kms)
component resulting from hydrogen atoms undergoing charge exchange with warm
protons in the broad-neutral precursor. Moreover, we show that a narrow line
width 20 kms extends across the entire NE rim, implying CR
acceleration is ubiquitous, and making it possible to relate its strength to
locally varying shock conditions. Finally, we find several locations along the
rim, where spectra are significantly better explained (based on Bayesian
evidence) by inclusion of the intermediate component, with a width of 180
kms on average.Comment: Proceeding for contributed talk at the IAU Symposium No. 331: "SN
1987A, 30 years later - Cosmic Rays and Nuclei from Supernovae and their
Aftermaths", 2017, La Reunion Island; References correcte
Identifying At-Risk Subpopulations of Canadians with Limited Health Literacy
Background. Health literacy, the set of skills for locating, understanding, and using health-related information, is associated with various health outcomes through health behaviors and health care service use. While health literacy has great potential for addressing health disparities stemming from the differing educational attainment in diverse populations, knowledge about subpopulations that share the same risk factors is useful. Objective. This study employed a logistic regression tree algorithm to identify subpopulations at risk of limited health literacy in Canadian adults. Design. The nationally representative data were derived from the International Adult Literacy and Skills Survey (n = 20,059). The logistic regression tree algorithm splits the samples into subgroups and fits logistic regressions. Results. Results showed that the subpopulation comprised of individuals 56 years and older, with household income less than $50,000, no participation in adult education programs, and lack of reading activities (i.e., newspaper, books) was at the greatest risk (82%) of limited health literacy. Other identified subgroups were displayed in an easily interpreted tree diagram. Conclusions. Identified subpopulations organized in tree diagrams according to the risk of limited health literacy inform not only intervention programs targeting unique subpopulations but also future health literacy research
Weather on the Nearest Brown Dwarfs: Resolved Simultaneous Multi-Wavelength Variability Monitoring of WISE J104915.57-531906.1AB
We present two epochs of MPG/ESO 2.2m GROND simultaneous 6-band ()
photometric monitoring of the closest known L/T transition brown dwarf binary
WISE J104915.57-531906.1AB. We report here the first resolved variability
monitoring of both the T0.5 and L7.5 components. We obtained 4 hours of focused
observations on the night of UT 2013-04-22, as well as 4 hours of defocused
(unresolved) observations on the night of UT 2013-04-16. We note a number of
robust trends in our light curves. The and light curves appear to be
anticorrelated with and for the T0.5 component and in the unresolved
lightcurve. In the defocused dataset, appears correlated with and
and anticorrelated with and , while in the focused dataset we measure
no variability for at the level of our photometric precision, likely due to
evolving weather phenomena. In our focused T0.5 component lightcurve, the
band lightcurve displays a significant phase offset relative to both and
. We argue that the measured phase offsets are correlated with atmospheric
pressure probed at each band, as estimated from 1D atmospheric models. We also
report low-amplitude variability in and intrinsic to the L7.5
component.Comment: 14 pages, 5 figures, accepted to ApJ Letter
The SEGUE Stellar Parameter Pipeline. II. Validation with Galactic Globular and Open Clusters
We validate the performance and accuracy of the current SEGUE (Sloan
Extension for Galactic Understanding and Exploration) Stellar Parameter
Pipeline (SSPP), which determines stellar atmospheric parameters (effective
temperature, surface gravity, and metallicity) by comparing derived overall
metallicities and radial velocities from selected likely members of three
globular clusters (M 13, M 15, and M 2) and two open clusters (NGC 2420 and M
67) to the literature values. Spectroscopic and photometric data obtained
during the course of the original Sloan Digital Sky Survey (SDSS-I) and its
first extension (SDSS-II/SEGUE) are used to determine stellar radial velocities
and atmospheric parameter estimates for stars in these clusters. Based on the
scatter in the metallicities derived for the members of each cluster, we
quantify the typical uncertainty of the SSPP values, sigma([Fe/H]) = 0.13 dex
for stars in the range of 4500 K < Teff < 7500 K and 2.0 < log g < 5.0, at
least over the metallicity interval spanned by the clusters studied (-2.3 <
[Fe/H] < 0). The surface gravities and effective temperatures derived by the
SSPP are also compared with those estimated from the comparison of the
color-magnitude diagrams with stellar evolution models; we find satisfactory
agreement. At present, the SSPP underestimates [Fe/H] for
near-solar-metallicity stars, represented by members of M 67 in this study, by
about 0.3 dex.Comment: 56 pages, 8 Tables, 15 figures, submitted to the Astronomical Journa
The Spectra of T Dwarfs I: Near-Infrared Data and Spectral Classification
We present near-infrared spectra for a sample of T dwarfs, including eleven
new discoveries made using the Two Micron All Sky Survey. These objects are
distinguished from warmer (L-type) brown dwarfs by the presence of methane
absorption bands in the 1--2.5 \micron spectral region. A first attempt at a
near-infrared classification scheme for T dwarfs is made, based on the
strengths of CH and HO bands and the shapes of the 1.25, 1.6, and 2.1
\micron flux peaks. Subtypes T1 V through T8 V are defined, and spectral
indices useful for classification are presented. The subclasses appear to
follow a decreasing T scale, based on the evolution of CH and
HO bands and the properties of L and T dwarfs with known distances.
However, we speculate that this scale is not linear with spectral type for cool
dwarfs, due to the settling of dust layers below the photosphere and subsequent
rapid evolution of spectral morphology around T 1300--1500 K.
Similarities in near-infrared colors and continuity of spectral features
suggest that the gap between the latest L dwarfs and earliest T dwarfs has been
nearly bridged. This argument is strengthened by the possible role of CH as
a minor absorber shaping the K-band spectra of the latest L dwarfs. Finally, we
discuss one peculiar T dwarf, 2MASS 0937+2931, which has very blue
near-infrared colors (J-K = 0.24) due to suppression of the 2.1
\micron peak. The feature is likely caused by enhanced collision-induced
H absorption in a high pressure or low metallicity photosphere.Comment: 74 pages including 26 figures, accepted by ApJ v563 December 2001;
full paper including all of Table 3 may be downloaded from
http://www.gps.caltech.edu/~pa/adam/classification ;also see submission
010844
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