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Objectives The COVID-19 pandemic has forced many healthcare organizations to stop the placement of undergraduate nursing students. As a result, undergraduate nursing students need the necessary training and practice to increase their competency. Therefore, effective strategies are needed to improve the effectiveness of online internships. This study aims to evaluate the impact of online cardiovascular health behavior modification training on nursing undergraduate students' health education competency and clinical decision-making perceptions using the Conceive-Design-Implement-Operate (CDIO) model. Methods This study utilized quasi-experimental research with a non-equivalent control group design. Nursing students undergoing internships at Zhongshan Hospital, Fudan University, Shanghai, China, from June 2020 to December 2021 were enrolled in this study. The participants were allocated into two groups, experimental and control groups. All participants completed a course designed to promote healthy behavior modification. The experimental group participants completed four modules through an online training course based on the CDIO model. The control group was given theoretical lectures on the same topic online. Health education competencies and clinical decision-making perceptions were assessed before and after the training. Statistical analysis was performed using IBM SPSS 28.0. Results A significant difference was observed between these two groups in their performance on the theoretical test (t = −2.291, P<0.05) and operational assessment (t = −6.415, P<0.01). The participants in the experimental group scored better than those in the control group. Post-test results indicated that students in the experimental group demonstrated significantly better health education competency (t = −3.601, P<0.01) and clinical decision-making perception (t = −3.726, P<0.01). Conclusion The study found that online courses based on the CDIO model are compelling. The study concluded that online classes are needed during the pandemic as it does not limit time and space. Nursing students can take their internship from anywhere as long as they can access the internet. Also, the study found that the online course was interactive and collaborative.
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Spatial heterogeneity analysis of housing prices, in general, is crucial for maintaining high-quality economic development in China, especially in the post-COVID-19 pandemic context. Previous studies have attempted to explain the associated geographical evolution by studying the spatial non-stationary continuous heterogeneity;however, they ignored the spatial discrete heterogeneity caused by natural or policy factors, such as education, economy, and population. Therefore, in this study, we take Beijing as an example and consider educational factors in order to propose an improved local regression algorithm called the regionally geographically weighted regression affected by education (E-RGWR), which can effectively address spatial non-stationary discrete heterogeneity caused by education factors. Our empirical study indicates that the R2 and R2adj values of E-RGWR are 0.8644 and 0.8642, which are 10.98% and 11.01% higher than those of GWR, and 3.26% and 3.27% higher than those of RGWR, respectively. In addition, through an analysis of related variables, the quantitative impacts of greening rate, distance to market, distance to hospitals. and construction time on housing prices in Beijing are found to present significant spatial discrete heterogeneity, and a positive relationship between school districts and housing prices was also observed. The obtained evaluation results indicate that E-RGWR can explain the spatial instability of housing prices in Beijing and the spatial discrete heterogeneity caused by education factors. Finally, based on the estimation results of the E-RGWR model, regarding housing prices in Beijing, we analyze the relationships between enrollment policy, real estate sales policy, and housing prices, E-RGWR can provide policy makers with more refined evidence to understand the nature of the centralized change relationship of Beijing's housing price data in a well-defined manner. The government should not only carry out macro-control, but also implement precise policies for different regions, refine social governance, promote education equity, and boost the economy.
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A coronavirus (HCoV-19) has caused the novel coronavirus disease (COVID-19) outbreak in Wuhan, China. Preventing and reversing the cytokine storm may be the key to save the patients with severe COVID-19 pneumonia. Mesenchymal stem cells (MSCs) have been shown to possess a comprehensive powerful immunomodulatory function. This study aims to investigate whether MSC transplantation improves the outcome of 7 enrolled patients with COVID-19 pneumonia in Beijing YouAn Hospital, China, from Jan 23, 2020 to Feb 16, 2020. The clinical outcomes, as well as changes of inflammatory and immune function levels and adverse effects of 7 enrolled patients were assessed for 14 days after MSC injection. MSCs could cure or significantly improve the functional outcomes of seven patients without observed adverse effects. The pulmonary function and symptoms of these seven patients were significantly improved in 2 days after MSC transplantation. Among them, two common and one severe patient were recovered and discharged in 10 days after treatment. After treatment, the peripheral lymphocytes were increased, the C-reactive protein decreased, and the overactivated cytokine-secreting immune cells CXCR3+CD4+ T cells, CXCR3+CD8+ T cells, and CXCR3+ NK cells disappeared in 3-6 days. In addition, a group of CD14+CD11c+CD11bmid regulatory DC cell population dramatically increased. Meanwhile, the level of TNF-α was significantly decreased, while IL-10 increased in MSC treatment group compared to the placebo control group. Furthermore, the gene expression profile showed MSCs were ACE2- and TMPRSS2- which indicated MSCs are free from COVID-19 infection. Thus, the intravenous transplantation of MSCs was safe and effective for treatment in patients with COVID-19 pneumonia, especially for the patients in critically severe condition.