Nutrient composition of selected traditional United States Northern Plains Native American plant foods

Ten wild plants (cattail broad leaf shoots, chokecherries, beaked hazelnuts, lambsquarters, plains prickly pear, prairie turnips, stinging nettles, wild plums, raspberries, and rose hips) from three Native American reservations in North Dakota were analyzed to expand composition information of traditional foraged plants. Proximates, dietary fiber (DF), vitamins, minerals, carotenoids, and folate vitamers were assayed using standard methods and reference materials. Per serving, all were rich in Mn (100–2808 mg). Several provided \u3e10% DRI of Fe (cattail shoots, steamed lambsquarters, and prairie turnips), Ca (steamed lambsquarters, prickly pear, and prairie turnips), Mg (cattail shoots, lambsquarters, prickly pear, and prairie turnips), vitamins B6 (chokecherries, steamed lambsquarters, broiled prickly pear, and prairie turnips), C (raw prickly pear, plums, raspberries, rose hips (426 mg/100 g), and K (cattail shoots, chokecherries, lambsquarters, plums, rose hips, and stinging nettles). DF was \u3e10 g/serving in chokecherries, prairie turnips, plums and raspberries. Rose hips, plums, lambsquarters, and stinging nettles were carotenoid-rich (total, 3.2–11.7 mg/100 g; b-carotene, 1.2–2.4 mg/100 g; lutein/zeaxan- thin, 0.9–6.2 mg/100 g) and lycopene (rose hips only, 6.8 mg/100 g). Folate (primarily 5-methylte- trahydrofolate) was highest in raw lambsquarters (97.5 mg/100 g) and notable in cattail shoots, raw prairie turnips, and blanched stinging nettles (10.8, 11.5, and 24.0 mg/100 g, respectively). Results, provided to collaborating tribes and available in the National Nutrient Database of the United States Department of Agriculture (USDA) (www.ars.usda.gov/nutrientdata), support reintroduction or increased consumption of foraged plants

Gender and Emotional Labor in Public Organizations: An Empirical Examination of the Link to Performance

Scholars of public organizations have begun to emphasize emotional labor in studies of gender in the workplace, finding that the skills women bring to organizations are often overlooked and undercompensated even though they play a vital role in the organization. Emotional labor is an individual’s effort to present emotions in a way that is desired by the organization. The authors hypothesize that employers with greater emotional labor expectations of their employees will have more effective interactions with clients, better internal relationships, and superior program performance. This article tests the effects of emotional labor in a bureaucratic workforce over time. Multiple regression results show that organizations with more women at the street level have higher overall organizational performance. Additionally, emotional labor contributes to organizational productivity over and above its role in employee turnover and client satisfaction

Development of a Coronavirus Disease 2019 (COVID-19) Application Ontology for the Accrual to Clinical Trials (ACT) network

Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for COVID-19 research. We developed a COVID-19 application ontology in the national Accrual to Clinical Trials (ACT) network that enables harmonization of data elements that are critical to COVID-19 research. The ontology contains over 50 000 concepts in the domains of diagnosis, procedures, medications, and laboratory tests. In particular, it has computational phenotypes to characterize the course of illness and outcomes, derived terms, and harmonized value sets for severe acute respiratory syndrome coronavirus 2 laboratory tests. The ontology was deployed and validated on the ACT COVID-19 network that consists of 9 academic health centers with data on 14.5M patients. This ontology, which is freely available to the entire research community on GitHub at https://github.com/shyamvis/ACT-COVID-Ontology, will be useful for harmonizing EHRs for COVID-19 research beyond the ACT network

Development of a COVID-19 Application Ontology for the ACT Network

Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for COVID-19 research. We developed a COVID-19 application ontology in the national Accrual to Clinical Trials (ACT) network that enables harmonization of data elements that that are critical to COVID-19 research. The ontology contains over 50,000 concepts in the domains of diagnosis, procedures, medications, and laboratory tests. In particular, it has computational phenotypes to characterize the course of illness and outcomes, derived terms, and harmonized value sets for SARS-CoV-2 laboratory tests. The ontology was deployed and validated on the ACT COVID-19 network that consists of nine academic health centers with data on 14.5M patients. This ontology, which is freely available to the entire research community on GitHub at https://github.com/shyamvis/ACT-COVID-Ontology, will be useful for harmonizing EHRs for COVID-19 research beyond the ACT network