To develop a model to predict which newborns ≥34 weeks gestation with respira tory distress will die or will require prolonged ( > 3 days) assisted ventilatio n. Retrospective cohort study using data from Northern Ca...
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To develop a model to predict which newborns ≥34 weeks gestation with respira tory distress will die or will require prolonged ( > 3 days) assisted ventilatio n. Retrospective cohort study using data from Northern California newborns ≥34 weeks gestation who presented with respiratory distress. We split the cohort int o derivation and validation datasets. Bivariate and multivariate data analyses w ere performed on the derivation dataset. After developing a simple score on the derivation dataset, we applied it to the original as well as to a second validat ion dataset from Massachusetts. Of 2276 babies who met our initial eligibility c riteria, 203 (9.3%) had the primary study outcome (assisted ventilation > 3 da ys or death). A simple score based on gestational age, the lowest PaO2/FIO2, a v ariable combining lowest pH and highest PaCO2, and the lowest mean arterial bloo d pressure had excellent performance, with a c-statistic of 0.85 in the deriva tion dataset, 0.80 in the validation dataset, and 0.80 in the secondary valida tion dataset. A simple objective score based on routinely collected physiologic predictors can predict respiratory outcomes in infants ≥34 weeks gestation with respiratory distress.
The identification of jets originating from quarks and gluons,often referred to as quark/gluon tagging,plays an important role in various analyses performed at the Large Hadron Collider,as Standard Model measurements ...
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The identification of jets originating from quarks and gluons,often referred to as quark/gluon tagging,plays an important role in various analyses performed at the Large Hadron Collider,as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced *** paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration,using √s=13 TeV proton–proton collision data with an integrated luminosity of 140 fb^(-1) collected by the ATLAS *** taggers with high performances in rejecting jets from gluon over jets from quarks are studied:one tagger is based on requirements on the number of inner-detector tracks associated with the jet,and the other combines several jet substructure observables using a boosted decision tree.A method is established to determine the quark/gluon fraction in data,by using quark/gluon-enriched subsamples defined by the jet *** in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points.
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