Bacterial Proteins ; chemistry ; Bacterial Secretion Systems ; Crystallography, X-Ray ; Legionella pneumophila ; metabolism ; Models, Molecular ; Protein Structure, Tertiary

Objective To investigate the difference of facial soft tissue changes in patients with different vertical bone facial types after orthodontic treatment.Methods A total of 137 female patients with class Ⅱ malocclusion aged 18 to 30 years old were selected for retrospective analysis using facial soft tissue 3D model data.According to the mandibular plane angle(FH-MP)angle,they were divided into high angle group,average angle group and low angle group.The EinScan Pro 2X 2020 handheld high-precision 3D scanner was used to capture facial soft tissue images of patients before treatment(T0)and at 6 months during treatment(T1)and after treatment(T2).The patients'facial images were overlapped using reverse engineering software Geomagic Wrap 2021,and the differ-ences within and between groups were statistically analyzed using SPSS 26.0 statistical software.Results Before and after orthodontic treatment,the average overall facial changes in the high angle group were(-3.25±0.22)mm,in the average angle group was(-3.28±0.30)mm,and in the average low angle group was(-3.69±0.36)mm.Compared with the other two groups,the changes in the low angle group decreased more,and the difference was statistically significant(P＜0.05).The mandibular angle area and temporal area decreased the most in the low angle group,which were(-2.78±0.18)mm and(-2.27±0.35)mm,respectively,and the differ-ence was statistically significant compared with the other two groups(P＜0.05),while there was no statistically significant difference among the other groups(P＞0.05).Conclusion The whole face and all facial regions of the three groups had some negative changes,but the collapse in the mandibular angle area and the temporal muscle ar-ea of the low angle group was more obvious than that of the other two groups.

Objective:To analyze the characteristics of COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province.Methods:The daily incidence data and case information of COVID-19 were collected from the official websites of provincial and municipal health commissions. The morbidity rate, severity rate, case-fatality rate, and spread ratio of COVID-19 were calculated.Results:As of 20 March, 2020, a total of 12 941 cases of COVID-19 had been conformed, including 116 deaths, and the average morbidity rate, severity rate and case-fatality rate were 0.97/100 000, 13.5 % and 0.90 %, respectively. The morbidity rates in Zhejiang (2.12/100 000), Jiangxi (2.01/100 000) and Beijing (1.93/100 000) ranked top three. The characteristics of COVID-19 case spectrum varied from province to province. The first three provinces (autonomous region, municipality) with high severity rates were Tianjin (45.6 %), Xinjiang (35.5 %) and Heilongjiang (29.5 %). The case-fatality rate was highest in Xinjiang (3.95 %), followed by Hainan (3.57 %) and Heilongjiang (2.70 %). The average spread ratio was 0.98 and the spread intensity varied from province to province. Tibet had the lowest spread ratio (0), followed by Qinghai (0.20) and Guangdong (0.23). Conclusion:The intervention measures were effective in preventing the spread of COVID-19 and improved treatment effect in China. However, there were significant differences among different regions in severity, case-fatality rate and spread ratio.