A number of influential assessments of the economic cost of climate change rely on just a small number of coupled climate-economy models. A central feature of these assessments is their accounting of the economic cost of epistemic uncertainty-that part of our uncertainty stemming from our inability to precisely estimate key model parameters, such as the Equilibrium Climate Sensitivity. However, these models fail to account for the cost of aleatory uncertainty-the irreducible uncertainty that remains even when the true parameter values are known. We show how to account for this second source of uncertainty in a physically well-founded and tractable way, and we demonstrate that even modest variability implies trillions of dollars of previously unaccounted for economic damages.
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http://dx.doi.org/10.1038/s41467-020-18797-8 | DOI Listing |
Multivariate Behav Res
December 2024
Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
We present the R package MIIVefa, designed to implement the MIIV-EFA algorithm. This algorithm explores and identifies the underlying factor structure within a set of variables. The resulting model is not a typical exploratory factor analysis (EFA) model because some loadings are fixed to zero and it allows users to include hypothesized correlated errors such as might occur with longitudinal data.
View Article and Find Full Text PDFPathol Res Pract
December 2024
University of Alabama at Birmingham, Department of Pathology, United States. Electronic address:
Hirschsprung's (HSCR) disease, also known as aganglionic megacolon, or congenital intestinal aganglionosis affects roughly 1 out of every 5000 newborns. It is a birth defect characterized by the partial or complete loss of ganglion cells in the myenteric and submucosal plexus of the distal intestine which leads to ineffective peristalsis, constipation, and obstruction. Clinical assessment and radiological observations might imply HSCR disease, but definitive diagnosis requires biopsy interpretation and confirmation of ganglion cell loss.
View Article and Find Full Text PDFSurg Infect (Larchmt)
December 2024
Department of Surgery, Inspira Health Network, Vineland, New Jersey, USA.
: The STOP-IT randomized clinical trial (RCT) pioneered limiting antibiotic agents in intra-abdominal infection (IAI) with adequate surgical source control, but NIH funding ended before an adequate power sample size was enrolled to determine equivalence between STOP-IT study regimens: four days of antibiotic agents (4-days) after source control versus antibiotic agents until resolution of signs and symptoms of IAI plus two days (standard of care [SOC]). The objective of this investigation was to identify possible significant treatment effects 4-days versus SOC, and independent variables defining and predicting outcomes. : De-identified data from 518 STOP-IT subjects were analyzed retrospectively in two groups: 4-days (n = 258) and SOC (n = 260), and separately as one group (n = 518).
View Article and Find Full Text PDFSports (Basel)
December 2024
Research Center for Sport and Health Sciences, University of Iceland, 102 Reykjavik, Iceland.
Given the increasing use of innovative force plate systems in applied sports settings and the impact that anterior cruciate ligament (ACL) injuries have on team success, the purpose of the present study was to compare the lower-body neuromuscular performance characteristics of athletes who underwent ACL reconstruction (ACLR) and their non-injured counterparts (i.e., healthy controls).
View Article and Find Full Text PDFVirology
December 2024
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Avenida Rivadavia 1917, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina; Laboratorio de Virología y Genética Molecular (LVGM), Facultad de Ciencias Naturales y Ciencias de la Salud, Universidad Nacional de la Patagonia San Juan Bosco, Belgrano 160, Trelew, CP, 9100, Argentina. Electronic address:
Intra-host viral variability is related to pathogenicity, persistence, drug resistance, and the emergence of new clades. This work reviews the large amount of data on SARS-CoV-2 intra-host variability accumulated to date, addressing known and potential implications in COVID-19 and the emergence of VOCs and lineage-defining mutations. Topics covered include the distribution of intra-host polymorphisms across the genome, the corresponding mutational signatures, their patterns of emergence and extinction throughout infection, and the processes governing their abundance, frequency, and type (synonymous, nonsynonymous, indels, nonsense).
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