On 12 December 2019, a novel coronavirus disease, named COVID-19, began to spread around the world from Wuhan, China. It is useful and urgent to consider the future trend of this outbreak. We establish the 4+1 penta-group model to predict the development of the COVID-19 outbreak. In this model, we use the collected data to calibrate the parameters, and let the recovery rate and mortality change according to the actual situation. Furthermore, we propose the BAT model, which is composed of three parts: simulation of the return rush (Back), analytic hierarchy process (AHP) method, and technique for order preference by similarity to an ideal solution (TOPSIS) method, to figure out the best return date for university students. We also discuss the impacts of some factors that may occur in the future, such as secondary infection, emergence of effective drugs, and population flow from Korea to China. Key words: epidemic dynamics model, nonlinear least squares, analytic hierarchy process (AHP), technique for order preference by similarity to an ideal solution (TOPSIS) CLC number: R 511 Document code: A

COVID-19-associated lockdown has been implemented worldwide, potentially causing unfavorable changes in lifestyle and psychological health. Physical literacy, healthy diets, and lifestyles play important roles in mitigating the adverse effects. Therefore, this study aimed to enable individuals to understand their fitness literacy and establish a personalized exercise plan. In this study, 903 adults aged 19－59 were surveyed based on the concept of scientific fitness literacy and the influencing factors in the context of the effective containment of COVID-19 before (2019) and during (2020) the pandemic. This study screened four factors from four dimensions–cognition, attitude, ability and skills, and behavior and habits–that can influence adults' scientific fitness literacy. Confirmatory factor analysis (CFA) and AMOS software were used to construct an evaluation index system of scientific fitness literacy for adults. The model consisting 10 items with 4 factors to evaluation index system has good overall fitness, reliability, convergent validity, differential validity, and model stability and was able to analyze the factors that affect the scientific fitness literacy of individuals from different perspectives. This allowed individuals at different stages to have a deeper understanding of scientific fitness literacy.

Colorectal cancer (CRC) is one of the most common and serious types of malignancy worldwide. The embryonic ectoderm development (EED) gene is important to maintain transcriptional repressive states of genes over successive cell generations. The present study aimed to investigate the association between EED methylation and CRC. A total of 111 CRC tissue samples, 111 paired para-tumor tissues and 20 colorectal normal tissues were obtained for EED methylation assay, which was performed using a quantitative methylation-specific polymerase chain reaction. The percentage of methylated reference was calculated to represent the DNA methylation level. A dual-luciferase reporter gene assay was used to detect the gene promoter activity of a EED fragment. The current results revealed a significant difference in the EED methylation levels among tumor, para-tumor and normal colorectal tissues (tumor vs. para-tumor vs. normal, 5.03±4.61 vs. 8.65±11.50 vs. 40.12±45.31; F=45.014; P<0.0001). The dual-luciferase reporter gene assay demonstrated that the transcriptional activity of recombinant pGL3-EED plasmid was significantly higher compared with that of the pGL3-Basic control vector (fold-change, 3.15; P=0.014), which suggests the EED fragment can promote gene expression. In conclusion, the present study demonstrated that EED hypomethylation may be an important factor associated with CRC.

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