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@#To explore the effects of psychological capital social support and their interaction on job satisfaction in Methods natural gas field workers. A total of 1 473 workers from a natural gas field were selected as the research subjects ， using convenient sampling method. Job Satisfaction Questionnaire Psychological Capital Questionnaire and Social Support ， Results Scale were used to investigate the scores of job satisfaction psychological capital and social support level. The ， ， detection rates of job satisfaction psychological capital and social support in the high level group were 55.9% 52.5% and ， 48.1% respectively. The detection rates of job satisfaction of workers in the high level psychological capital group and high level （ social support group were higher than those in the low level psychological capital group and low level social support group 67.4% vs ， vs ， P ） 43.3% 71.9% 41.2% all <0.01 . The results of multivariate logistic regression analysis showed that psychological capital ［ （CI） （ - ） and social support had positive effects on job satisfaction odds ratio and 95% confidence interval were 1.58 1.17 2.41 （ - ）， ， P ］ ， and 2.53 1.82 3.52 respectively all <0.01 . Moreover the psychological capital and social support had additive effect on ［ CI （ - ）， CI job satisfaction relative excess risk of interaction and 95% was 3.07 1.02 5.12 attributable proportion and 95% was （ - ）， CI （ - ）］， 0.48 0.35 0.61 synergy index and 95% was 2.34 1.72 3.16 but there was no multiplication interaction between （P ）Conclusion psychological capital and social support >0.05 . Psychological capital and social support can positively affect job satisfaction of natural gas workers. There is an additive interaction between psychological capital and social support on job ， satisfaction but no multiplicative interaction is found. Keywords: ； ； ； ； ； Psychological capital Social support Job satisfaction Interaction Natural gas Worker
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Objective To investigate the characteristics of blood routine in 129 patients with COVID-19, and analyze the correlation between blood routine parameter changes and clinical classification. Methods A total of 129 COVID-19 patients were recruited and their blood samples were collected at the beginning and the end of treatment.The neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), lymphocyte-to-monocyte ratio(LMR) and C-reactive protein(CRP) were determined and used to calculate Δ NLR, Δ PLR, Δ LMR.The differences in these parameters were compared between the non-severe group (93 cases) and the severe group (36 cases).In addition, the relationship between the changes in blood routine test result and the prognosis of patients was determined. Results The average age of 129 patients was 46.9±17.4 years old, and the ratio of male to female was 1.2 ∶ 1.Thirty-five (35) cases (27.1%) had leucopenia (< 4×109/L) and 59 cases (45.7%) had lymphopenia (< 1.1×109/L).There were statistically significant differences in age, treatment days, blood routine indexes between these two groups.In all the patients, the differences between before and after treatment were statistically significant in the following: leukocyte number, neutrophil cell percentage, lymphocyte number, lymphocyte percentage, monocyte number, monocyte percentage.The differences in RBC, HGB, CRP, and NLR between the two groups before and after treatment were also statistically significant (P < 0.05). Conclusion The older COVID-19 patients have lower number of lymphocytes, higher NLR and PLR, lower LMR and higher CRP.They have a higher risk of progressing to severe disease.After treatment, there is an increase in the number of granulocytes, especially the number of lymphocytes, while a decrease in CRP and NLR.The change of lymphocyte count, NLR and CRP levels can predict the risk of severe COVID-19 and evaluate the therapeutic effect.
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<p><b>OBJECTIVE</b>To present a method of quantitative diagnosis of craniofacial skeleton deformities based on three-dimensional computed tomography (3D CT).</p><p><b>METHODS</b>20 cases with facial asymmetric deformities underwent 3D CT and the 3D images were reconstructed by Mimics 10.0 (Belgium). Anatomical landmarks were located and the coordinate of the landmarks obtained. Axial images of 1 patient with Romberg disease was used as representative case. The differences in the distance between the right landmarks and the left were calculated and analyzed.</p><p><b>RESULTS</b>The measurement results were not significantly different between two stages with an interval of 4 weeks ( P > 0.05), showing a reproducible resutls. The deviation of landmarks at facial midline increased gradually from upward to downward, reaching (2.63 +/- 0.54) mm at menton point. Paired landmarks showed asymmetry in three dimensions, especially gonion point on the left side, which was deviated 10.21 mm inward, 9.26 mm forward, 6.30 mm upward, compared to the opposite side.</p><p><b>CONCLUSIONS</b>The method of 3D CT quantitative analysis can provide precise information in the diagnosis and treatment planning of facial asymmetry deformity.</p>