Purpose: The purpose of this study was to investigate the levels and the relationship of emergency nurses’ organizational culture and fatigue for infection control, and infection control compliance of COVID-19. Methods: Data was collected from 114 nurses caring for patients suspected of COVID-19 at two emergency medical centers in Gyeonggi-do and Seoul June 18-July 23, 2021. Results: Emergency nurses caring for patients suspected of COVID-19 suffered from high fatigue for infection control. The mean scores of the organizational culture and fatigue for infection control, and infection control compliance of COVID-19 were 51.80 ± 8.37 of 70 points, 78.46 ± 12.28 of 100 points and 71.02 ± 7.84 of 80 points, respectively. The higher infection control compliance of COVID-19 is significantly related to the higher organizational culture for infection control (r = .42, p < .001). Conclusion In the COVID-19 pandemic, the formation of a positive organizational culture for infection control may be a priority as a major strategy to improve the infection control compliance of emergency nurses. It is also necessary to manage the high level of fatigue for infection control among emergency nurses.

PURPOSE: Various plants, herbal medicines, and marine foodstuffs have been used in kimchi preparation to improve its overall quality. Teff, which is rich in minerals and starches, facilitates stable blood glucose levels and is well-suited for use in gluten-free products; hence, it can be used to reinforce the mineral composition of kimchi. In this study, we probed the antioxidant activities of hydrolysates prepared by treatment of brown teff with three proteases under different conditions. METHODS: The mineral composition of brown teff was determined by inductively coupled plasma spectrophotometry-mass spectrometry, and we established optimal hydrolysis conditions by determining the total phenol and flavonoid contents of teff hydrolysates obtained using three different proteases (protamax, flavourzyme, and alcalase), two different protease concentrations (1 and 3 wt%), and three different incubation times (1, 2, and 4 h). The antioxidant activity of the hydrolysates was further investigated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity, total antioxidant capacity (TAC), and ferrous reducing antioxidant power (FRAP) assays. RESULTS: Brown teff was rich in I, K, Mg, and Ca, and the highest total phenol content (24.16 µg/mL), total flavonoid content (69.08 µg/mL), and TAC were obtained for 1 wt% protamax treatment. However, the highest DPPH scavenging activity and FRAP values were observed for hydrolysates produced by alcalase and flavourzyme treatments, respectively. CONCLUSION: Treatment of brown teff with proteases affords hydrolysates with significantly increased antioxidant activities and high total phenol and flavonoid contents, and these antioxidant activities of teff hydrolysates have the potential to enhance the quality and functionality of kimchi in future applications.
Blood Glucose ; Eragrostis* ; Hydrolysis ; Minerals ; Miners ; Peptide Hydrolases ; Phenol ; Plasma ; Spectrum Analysis ; Starch ; Subtilisins

In this study, the Search Your Mind (S.Y.M., 心) project aimed to collect prospective digital phenotypic data centered on mood and anxiety symptoms across psychiatric disorders through a smartphone application (app) platform while using both centralized and decentralized research designs: the centralized research design is a hybrid of a general prospective observational study and a digital platform-based study, and it includes face-to-face research such as informed written consent, clinical evaluation, and blood sampling. It also includes digital phenotypic assessment through an application-based platform using wearable devices. Meanwhile, the decentralized research design is a non-face-to-face study in which anonymous participants agree to electronic informed consent forms on the app. It also exclusively uses an application-based platform to acquire individualized digital phenotypic data. We expect to collect clinical, biological, and digital phenotypic data centered on mood and anxiety symptoms, and we propose a possible model of centralized and decentralized research design.