Genetic Structure And Phenotypic Variation In Wild Populations Of The Medicinal Tetraploid Species Bromelia Antiacantha (bromeliaceae)

Premise of the study: The patterns of genetic structure in plant populations are mainly related to the species life history and breeding system, and knowledge of these patterns is necessary for the management, use, and conservation of biological diversity. Polyploidy is considered an important mode of evolution in plants, but few studies have evaluated genetic structure of polyploid populations. We studied the patterns of genetic structure and morphological variation of Bromelia antiacantha (Bromeliaceae) populations, a polyploid terrestrial species.Methods: Microsatellite markers and morphological analyses were used to explore patterns of genetic and morphological diversity in wild populations of B. antiacantha.Key results: The results of our simple-sequence repeat analyses supported that B. antiacantha is a polyploid species. The inbreeding coefficients were high and significant in all populations (F IS = 0.431), indicating homozygote excess. Bromelia antiacantha showed high levels of genetic differentiation among populations (F ST = 0.224) and therefore was highly structured. High morphological variation was observed in fruit phenotypic traits in the populations studied.Conclusions: The levels of genetic diversity and the pattern of the population ' s structure may be related to the low recruitment of seeds, clonal reproduction, and the population ' s colonization history. 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Mortality risk assessment using CHA(2)DS(2)-VASc scores in patients hospitalized with Coronavirus disease 2019 infection

Early risk stratification for complications and death related to Coronavirus disease 2019 (COVID-19) infection is needed. Because many patients with COVID-19 who developed acute respiratory distress syndrome have diffuse alveolar inflammatory damage associated with microvessel thrombosis, we aimed to investigate a common clinical tool, the CHA(2)DS(2)-VASc, to aid in the prognostication of outcomes for COVID-19 patients. We analyzed consecutive patients from the multicenter observational CORACLE registry, which contains data of patients hospitalized for COVID-19 infection in 4 regions of Italy, according to data-driven tertiles of CHA(2)DS(2)-VASc score. The primary outcomes were inpatient death and a composite of inpatient death or invasive ventilation. Of 1045 patients in the registry, 864 (82.7%) had data available to calculate CHA(2)DS(2)-VASc score and were included in the analysis. Of these, 167 (19.3%) died, 123 (14.2%) received invasive ventilation, and 249 (28.8%) had the composite outcome. Stratification by CHA(2)DS(2)-VASc tertiles (T1: 641; T2: 2 to 3; T3: 654) revealed increases in both death (8.1%, 24.3%, 33.3%, respectively; p <0.001) and the composite end point (18.6%, 31.9%, 43.5%, respectively; p <0.001). The odds ratios for mortality and the composite end point for T2 patients versus T1 CHA(2)DS(2)-VASc score were 3.62 (95% CI:2.29 to 5.73,p <0.001) and 2.04 (95% CI:1.42 to 2.93, p <0.001), respectively. Similarly, the odds ratios for mortality and the composite end point for T3 patients versus T1 were 5.65 (95% CI:3.54 to 9.01, p <0.001) and 3.36 (95% CI:2.30 to 4.90,p <0.001), respectively. In conclusion, among Italian patients hospitalized for COVID-19 infection, the CHA(2)DS(2)-VASc risk score for thromboembolic events enhanced the ability to achieve risk stratification for complications and death

Inpatient Mortality According to Level of Respiratory Support Received for Severe Acute Respiratory Syndrome Coronavirus 2 (Coronavirus Disease 2019) Infection: A Prospective Multicenter Study

Objectives: To describe patients according to the maximum degree of respiratory support received and report their inpatient mortality due to coronavirus disease 2019. Design: Analysis of patients in the Coracle registry from February 22, 2020, to April 1, 2020. Setting: Hospitals in the Piedmont, Lombardy, Tuscany, and Lazio regions of Italy. Patients: Nine-hundred forty-eight patients hospitalized for coronavirus disease 2019. Interventions: None. Measurements and Main Results: Among 948 patients, 122 (12.87%) received invasive ventilation, 637 (67.19%) received supplemental oxygen only, and 189 (19.94%) received no respiratory support. The median (quartile 1\u2013quartile 3) age was 65 years (54\u201376.59 yr), and there was evidence of differential respiratory treatment by decade of life (p = 0.0046); patients greater than 80 years old were generally not intubated. There were 606 men (63.9%) in this study, and they were more likely to receive respiratory support than women (p < 0.0001). The rate of in-hospital death for invasive ventilation recipients was 22.95%, 12.87% for supplemental oxygen recipients, and 7.41% for those who received neither (p = 0.0004). A sensitivity analysis of the 770 patients less than 80 years old revealed a lower, but similar mortality trend (18.02%, 8.10%, 5.23%; p = 0.0008) among the 14.42%, 65.71%, and 19.87% of patients treated with mechanical ventilation, supplemental oxygen only, or neither. Overall, invasive ventilation recipients who died were significantly older than those who survived (median age: 68.5 yr [60\u201381.36 yr] vs 62.5 yr [55.52\u201371 yr]; p = 0.0145). Conclusions: Among patients hospitalized for coronavirus disease 2019, 13% received mechanical ventilation, which was associated with a mortality rate of 23%

Observation of collider muon neutrinos with the SND@LHC experiment

We report the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. A data set of proton-proton collisions at $\sqrt{s} = 13.6\,$TeV collected by SND@LHC in 2022 is used, corresponding to an integrated luminosity of 36.8$\,\rm{fb}^{-1}$. The search is based on information from the active electronic components of the SND@LHC detector, which covers the pseudo-rapidity region of 7.2 < \eta < 8.4, inaccessible to the other experiments at the collider. Muon neutrino candidates are identified through their charged-current interaction topology, with a track propagating through the entire length of the muon detector. After selection cuts, 8 $\nu_\mu$ interaction candidate events remain with an estimated background of 0.076 events, yielding a significance of seven standard deviations for the observed $\nu_\mu$ signal