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The emerging perspectives and implementation aspects presented in this review article outline infection prevention core components supported by recent research relevant to the mitigation of Hospital Onset Bacteremia and Fungemia in a surveillance setting that includes expanded efforts to all vascular access devices.
Risk of suicide-related behaviors is elevated among military personnel transitioning to civilian life. An earlier report showed that high-risk U.S. Army soldiers could be identified shortly before this transition with a machine learning model that included predictors from administrative systems, self-report surveys, and geospatial data. Based on this result, a Veterans Affairs and Army initiative was launched to evaluate a suicide-prevention intervention for high-risk transitioning soldiers. To make targeting practical, though, a streamlined model and risk calculator were needed that used only a short series of self-report survey questions.
Methods
We revised the original model in a sample of n = 8335 observations from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who participated in one of three Army STARRS 2011–2014 baseline surveys while in service and in one or more subsequent panel surveys (LS1: 2016–2018, LS2: 2018–2019) after leaving service. We trained ensemble machine learning models with constrained numbers of item-level survey predictors in a 70% training sample. The outcome was self-reported post-transition suicide attempts (SA). The models were validated in the 30% test sample.
Results
Twelve-month post-transition SA prevalence was 1.0% (s.e. = 0.1). The best constrained model, with only 17 predictors, had a test sample ROC-AUC of 0.85 (s.e. = 0.03). The 10–30% of respondents with the highest predicted risk included 44.9–92.5% of 12-month SAs.
Conclusions
An accurate SA risk calculator based on a short self-report survey can target transitioning soldiers shortly before leaving service for intervention to prevent post-transition SA.
In recent years, evidence has started piling up that some high-energy cosmic neutrinos can be associated with blazars in flaring states. On 2022 February 26, a new blazar-neutrino coincidence was reported: the track-like neutrino event IC220225A detected by IceCube is spatially coincident with the flat-spectrum radio quasar PKS 0215+015. Like previous associations, this source was found to be in a high optical and γ-ray state. Moreover, the source showed a bright radio outburst, which substantially increases the probability of a true physical association. We have performed six observations with the VLBA shortly after the neutrino event with a monthly cadence and are monitoring the source with the Effelsberg 100m-Telescope, and with the Australia Compact Telescope Array. Here, we present first results on the contemporary parsec-scale jet structure of PKS 0215+015 in total intensity and polarization to constrain possible physical processes leading to neutrino emission in blazars.
Good afternoon, and welcome to this panel. My name is Pablo Arrocha. I am the Legal Adviser of the Mexican Mission to the United Nations, and I am thrilled to be moderating a very exciting conversation in this year's ASIL conference which, as we all know, is happening under these new circumstances that are becoming our new normality and our new reality. It is a pity that we are not able to be all together in the same room, but it is very fortunate that we can at least do this virtually.
In light of recent advances in scientific understanding, this textbook provides a comprehensive yet focused guide to anemia, the most common hematologic malady in medicine. This authoritative, clinical resource covers the scientific basis of the many forms of anemia, while offering a practical approach to prognosis, diagnosis and management. Chapters cover a multitude of topics, ranging from the basic components and physiologic functions, to secondary anemias and transfusion therapy. Modern in approach, this text also looks ahead to new and innovative methodologies. With recommended treatment plans and many case studies, this heavily-illustrated book is essential reading for hematologists and oncologists. In providing a pathophysiologic context, it is also of interest to nurse practitioners, physician assistants and medical students in the field. This book provides access to an online version on Cambridge Core, which can be accessed via the code printed on the inside of the cover.