35 research outputs found
Concomitant pulmonary and hepatic toxicity secondary to nitrofurantoin: a case report
<p>Abstract</p> <p>Background</p> <p>Concomitant pulmonary and hepatic toxicity secondary to nitrofurantoin is a rare but serious complication of the use of Nitrofurantoin.</p> <p>Case presentation</p> <p>A 72 year old woman taking Nitrofurantoin for recurrent urinary sepsis presenting with breathlessness abdominal discomfort and abnormal liver function tests is described. Drug toxicity secondary to Nitrofurantoin was diagnosed. Cessation of the drug and a course of steroids markedly improved her condition.</p> <p>Discussion</p> <p>We review the drug reactions associated with Nitrofurantoin and suggest an alternative treatment strategy for recurrent urinary sepsis.</p> <p>Conclusion</p> <p>Adverse drug reactions are an important cause of concomitant lung and liver toxicity and the mainstay of treatment is drug withdrawal.</p
Euclid preparation: X. The Euclid photometric-redshift challenge
Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of
their main science objectives. However, to date, no method has been able to produce photo-zs at the required accuracy using only the broad-band
photometry that those surveys will provide. An assessment of the strengths and weaknesses of current methods is a crucial step in the eventual
development of an approach to meet this challenge. We report on the performance of 13 photometric redshift code single value redshift estimates
and redshift probability distributions (PDZs) on a common set of data, focusing particularly on the 0.2−2.6 redshift range that the Euclid mission
will probe. We designed a challenge using emulated Euclid data drawn from three photometric surveys of the COSMOS field. The data was
divided into two samples: one calibration sample for which photometry and redshifts were provided to the participants; and the validation sample,
containing only the photometry to ensure a blinded test of the methods. Participants were invited to provide a redshift single value estimate and
a PDZ for each source in the validation sample, along with a rejection flag that indicates the sources they consider unfit for use in cosmological
analyses. The performance of each method was assessed through a set of informative metrics, using cross-matched spectroscopic and highlyaccurate photometric redshifts as the ground truth. We show that the rejection criteria set by participants are efficient in removing strong outliers,
that is to say sources for which the photo-z deviates by more than 0.15(1 + z) from the spectroscopic-redshift (spec-z). We also show that, while
all methods are able to provide reliable single value estimates, several machine-learning methods do not manage to produce useful PDZs. We find
that no machine-learning method provides good results in the regions of galaxy color-space that are sparsely populated by spectroscopic-redshifts,
for example z > 1. However they generally perform better than template-fitting methods at low redshift (z < 0.7), indicating that template-fitting
methods do not use all of the information contained in the photometry. We introduce metrics that quantify both photo-z precision and completeness
of the samples (post-rejection), since both contribute to the final figure of merit of the science goals of the survey (e.g., cosmic shear from Euclid).
Template-fitting methods provide the best results in these metrics, but we show that a combination of template-fitting results and machine-learning
results with rejection criteria can outperform any individual method. On this basis, we argue that further work in identifying how to best select
between machine-learning and template-fitting approaches for each individual galaxy should be pursued as a priority
Euclid II. The VIS instrument
This paper presents the specification, design, and development of the Visible Camera (VIS) on the European Space Agency's mission. VIS is a large optical-band imager with a field of view of 0.54 deg sampled at with an array of 609 Megapixels and a spatial resolution of . It will be used to survey approximately 14 000 deg of extragalactic sky to measure the distortion of galaxies in the redshift range --1.5 resulting from weak gravitational lensing, one of the two principal cosmology probes leveraged by With photometric redshifts, the distribution of dark matter can be mapped in three dimensions, and the extent to which this has changed with look-back time can be used to constrain the nature of dark energy and theories of gravity. The entire VIS focal plane will be transmitted to provide the largest images of the Universe from space to date, specified to reach AB with a signal-to-noise ratio S/N in a single broad E (r+i+z) with for galaxies with a full width at half maximum of in a diameter aperture over the Wide Survey, and ^2$. The paper also describes how the instrument works with the telescope and survey, and with the science data processing, to extract the cosmological information
Euclid : I. Overview of the Euclid mission
The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Euclid is a medium-class mission in the Cosmic Vision 2015–2025 programme of the European Space Agency (ESA) that will provide high-resolution optical imaging, as well as near-infrared imaging and spectroscopy, over about 14 000 deg2 of extragalactic sky. In addition to accurate weak lensing and clustering measurements that probe structure formation over half of the age of the Universe, its primary probes for cosmology, these exquisite data will enable a wide range of science. This paper provides a high-level overview of the mission, summarising the survey characteristics, the various data-processing steps, and data products. We also highlight the main science objectives and expected performance
