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Nurses have been urged to participate in public policy-formulation processes as an integral part of their professional role through collective and personal policy activities. However, there is only limited empirical data on this participation. This cross-sectional study examined the level and the predictors of the personal policy activities of 200 Israeli hospital-based registered nurses undertaken in their work setting and aimed at furthering hospital, local or national policies. The nurses completed questionnaires that examined policy activities, policy skills, political interest, political efficacy, political and professional network involvement, and organizational support for policy activities. The overall engagement of nurses in on-the-job policy activities was limited and focused primarily on their immediate surroundings, their departments and their hospitals, and much less on local or national policies. The most common policy activities were internal and indirect and included receiving feedback from patients to improve nursing care policy and calling colleagues' attention to policy issues. Positive significant correlations emerged between motivational and organizational factors and personal policy activities, and these contributed 55% to the explained variance. The findings enhance the relevance of integrating motivational and organizational factors in understanding the policy activity of nurses. As such, increasing personal involvement of hospital nurses in policy formulation processes requires professional training that seeks to improve nurses' policy skills, to enhance their political interest and efficacy, and to encourage their involvement in political and professional networks. In addition, hospitals need to cultivate an organizational culture that supports personal policy activities by nurses.

Presumably, changes in fetal circulation contribute to the delay in maturation of the cortex in fetuses with congenital heart defect (CHD). The aim of the current study is to analyze fetal brain development based on hemodynamic differences, using novel brain-age prediction software.

We have performed detailed neurosonography, including acquiring 3D volumes, prospectively in cases with isolated CHD from 20 weeks onwards. An algorithm that assesses the degree of fetal brain-age automatically was used to compare CHD cases to controls. We stratified CHD cases according to flow and oxygenation profiles by lesion physiology and performed subgroup analyses.

A total of 616 ultrasound volumes of 162 CHD cases and 75 controls were analyzed. Significant differences in maturation of the cortex were observed in cases with normal blood flow toward the brain (-3.8 days, 95%CI [-5.5; -2.0], P = <.001) and low (-4.0 days, 95% CI [-6.7; -1.2] P = <.05; hypoplastic left heart syndrome[HLHS]) and mixed (-4.4 days, 95%CI [-6.4; -2.5] p = <.001) oxygen saturation in the ascending aorta (TGA) and in cardiac mixing (eg, Fallot) cases.

The current study shows significant delay in brain-age in TGA and Fallot cases as compared to control cases. However, the small differences found in this study questions the clinical relevance.

The current study shows significant delay in brain-age in TGA and Fallot cases as compared to control cases. However, the small differences found in this study questions the clinical relevance.

Strawberry quality is one of the most important factors that guarantees consistent commercialization of the fruit and ensures the consumer's satisfaction. This work makes innovative use of random forest (RF) to predict sensory measures of strawberries using physical and physical-chemical variables. Furthermore, it also employs these same physical and physical-chemical variables to classify strawberries in the classes "satisfied" or "not satisfied" and "would pay more" or "wouldn't pay more. The RF-based model predicts the acceptance, expectation, ideal of sweetness, ideal of acidity, and the ideal of succulence based on the physical and physical-chemical data. Then, the predicted parameters are used as input for the RF-based classification model.

The RF achieved a coefficient of determination R

 > 0.72 and a root-mean-squared error (RMSE) smaller than 0.17 for the prediction task, which indicates that one can estimate the sensory measures of strawberries using physical and physical-chemical data. Onvansertib PLK inhibitor Furtended to control the sensory quality of other fruits. © 2021 Society of Chemical Industry.In response to the Covid-19 pandemic, health care systems worldwide canceled or delayed elective surgeries, outpatient procedures, and clinic appointments. Although such measures may have been necessary to preserve medical resources and to prevent potential exposures early in the pandemic, moving forward, the indirect effects of such an extensive medical shutdown must not outweigh the direct harms of Covid-19. In this essay, we argue for the reopening of evidence-based health care with assurance provided to patients about the safety and necessity of high-value vaccinations, screenings, therapeutics, and procedures. To ensure that virtually all non-Covid-related services do not come to a halt again, health care systems and physician practices must preemptively increase their capacity, secure adequate personal protective equipment to safeguard health care personnel, and develop a measured approach to reclosing such routine health care, should it become necessary in the future.

There are limited data on the neutralizing activity of convalescent plasma (CP) administered in randomized controlled trials (RCT) of COVID-19 infection.

As part of an RCT, CP was collected per FDA guidelines from individuals recovered from COVID-19 infection. CP donors had to have ≥145 optical density (OD) units (ideal target ≥300) using a semiquantitative, immunochromatographic test for IgG antibody to the nucleocapsid protein (NP) of SARS-CoV-2 (typical range 0-500 OD units). A random subset of samples [14 control plasma, 12 CP "medium-anti-NP" (145-299 OD units), and 13 CP "high" anti-NP (≥300 OD units)] were tested for neutralizing antibodies using an established viral luciferase antibody inhibition assay to detect the infection of SARS-CoV-2 pseudovirus that encoded spike protein (SARS2-S

) on a human immunodeficiency virus 1 vector (NL43dEnvNanoLuc), using ACE2-expressing 293 T cells. The titer needed to neutralize 50% of viral activity (NT50) was calculated.

The uptake of SARS-CoV-2 pseudovirus by 293T

cells was inhibited by pretreatment with CP compared to control CP (p < .