In March 2020, the Veterans Health Administration (VA) responded to pandemic shutdowns with a rapid pivot toward providing services via telehealth. Using data on Veterans who received interventions from social workers between 2019 and 2020 at sites that participated in a national program to increase social work staffing in primary care, we examined changes in frequency and modality of social work encounters that occurred with the onset of the COVID-19 pandemic. We found that primary care social workers maintained a consistent level of engagement, with increases in telephone and video telehealth encounters as in-person visits decreased. Through front-line perspectives, we discuss the practical innovations and policies that enabled those changes in care from VA primary care social workers.Purpose To summarize ophthalmic manifestations of coronavirus disease (COVID-19) reported in the literature thus far.Methods The PubMed database was systematically searched through October 24, 2020, to identify relevant articles using the following search terms ("COVID-19" OR "SARS-CoV-2") AND ("eye" OR "ophthalmology" OR "retina" OR "retinal findings" OR "cornea" OR "conjunctiva"). Only articles published in English were included in this review.Results The reported prevalence of ophthalmic manifestations is generally low, but correlates positively with the severity of the disease. Most commonly reported ocular manifestations are conjunctivitis, conjunctival hyperemia and chemosis. Retinal findings include microhemorrhages and flame-shaped hemorrhages, cotton wool spots, dilated veins, and tortuous vessels.Conclusion Considering the COVID-19 cases have reached pandemic dimensions and are surging, yet again, it is of utmost importance to determine its ophthalmic manifestations and prevent their vision threatening complications. Further studies are warranted to establish whether the retinal findings appear due to the COVID-19 or are an incidental finding in patients with a preexisting diabetic or hypertensive retinopathy.The development of new technologies for water and wastewater treatment is a growing need due to the occurrence of micropollutants, such as dyes, in water resources. In this sense, green-synthesized nanoparticles are being extensively studied, due to their low cost, non-toxicity, and high efficiency in adsorption processes. Thus, the present study reports the green synthesis of copper oxide nanoparticles (CuO-NP), obtained from pomegranate (Punica granatum) leaf extract, employed for the removal of Safranin-O (SO) dye. CuO-NP was characterized by physicochemical analysis. These analyzes suggested that the redox process occurred efficiently. Also, the material presented interesting elements for the removal of cationic dyes such as negative surface charge, high specific surface area, and predominance of mesopores. The kinetic data fitted the pseudo-second-order model, reaching equilibrium in 480 min. The equilibrium study resulted in a maximum adsorption capacity of 189.54 mg g-1 at 298 K and the experimental data best fitted the Langmuir model. The effect of pH and ionic strength did not present significant changes, which demonstrates an advantage of this adsorbent over other materials. The regeneration study allowed to verify the possibility of reuse CuO-NP, since after 4 cycles the adsorption capacity was 44% of the initial value. Considering the results found, CuO-NP has a high potential for applicability in the treatment of water contaminated by dyes.Purpose To report a case of bilateral ocular tuberculosis (OTB) in a child with negative Tuberculin skin test (TST).Methods Case report.Observations A 12-year-old malnourished systemically asymptomatic boy presented with sudden profound loss of vision in both eyes. Dense vitritis precluded fundus visualization in right eye (RE). In left eye, fundus findings of extensive vasculitis associated with multifocal retinochoroiditis were suggestive of OTB. However, negative TST, normal chest X-ray, and gram negative bacteriuria led to confusion between endogenous endophthalmitis and OTB. Based on strong clinical suspicion and high-resolution chest tomography (HRCT) of thorax which was suggestive of TB-pneumonitis, a diagnosis of presumed OTB was made. A good response to anti-tubercular-treatment and corticosteroids, with resolution of retinochoroiditis lesions, vasculitis, and vitritis, further supported our diagnosis.Conclusions This case highlights the importance of keeping a high index of suspicion for TB-associated uveitis in children, based on clinical findings.Backround. John Watson (1807-1863) was the first surgeon in USA who performed and published his results on esophagotomy. Methods. His pioneer surgical work was a gold standard reference for the later surgeons. Results. Watson was a devoted surgeon and his innovative operating techniques secured him a place in the hall of fame of the history of medicine.The quantile regression model has increasingly become a useful approach for analyzing survival data due to its easy interpretation and flexibility in exploring the dynamic relationship between a time-to-event outcome and the covariates. In this paper, we consider the quantile regression model for survival data with missing censoring indicators. Based on the augmented inverse probability weighting technique, two weighted estimating equations are developed and corresponding easily implemented algorithms are suggested to solve the estimating equations. Asymptotic properties of the resultant estimators and the resampling-based inference procedures are established. Finally, the finite sample performances of the proposed approaches are investigated in simulation studies and a real data application.Considerations regarding clinical effectiveness and cost are essential in comparing the overall value of two treatments. There has been growing interest in methodology to integrate cost and effectiveness measures in order to inform policy and promote adequate resource allocation. The net monetary benefit aggregates information on differences in mean cost and clinical outcomes; the cost-effectiveness acceptability curve was developed to characterize the extent to which the strength of evidence regarding net monetary benefit changes with fluctuations in the willingness-to-pay threshold. Methods to derive insights from characteristics of the cost/clinical outcomes besides mean differences remain undeveloped but may also be informative. https://www.selleckchem.com/ We propose a novel probabilistic measure of cost-effectiveness based on the stochastic ordering of the individual net benefit distribution under each treatment. Our approach is able to accommodate features frequently encountered in observational data including confounding and censoring, and complements the net monetary benefit in the insights it provides.