Objective To contrast HPV genotyping and clinical characteristics of women in Yan'an and provide data support for cervical cancer screening and prevention.Methods The genotyping of HPV infection was carried out by the method of PCR amplification and reverse hybridization.To statistical analysis clinical infection distribution data.Results Found 16.48％ (332 of 2014) were positive for HPV DNA in these women.HPV-16,52 and 53 were in the top three HPV high-risk types.HPV-81,6 and 44 were in the top three HPV low-risk types.There were 219 cases (65.96％) with pure high-risk type infection,74 cases (22.29％) with pure low-risk type infection and 39 cases (11.75％) with mixed infection in positive specimens.The HPV infection rate had showed first increasing then decreasing with age,and there were significant differences among the each groups (x2=34.238,P＜0.01).There were also differences in HPV positive detection rates in different occupations and there were significant differences among the each groups (x2=50.35,P＜0.01).There were also differences in HPV positive detection rates in different regions,and there were significant differences among the each groups (x2 =12.084,P＜0.05).Single infection was highest in HPV infection.Conclusion HPV infection was different in different populations,regions and ages,and it is of great significance to carry out HPV screening for early prevention and treatment of cervical cancer.

OBJECTIVETo investigate the prevalence of influenza virus infections in children in 2006 using the real-time PCR method.

METHODS(1) Consulting the most conserved sequence NP gene of influenza virus, after comparing with the NP gene sequences of influenza virus in GenBank, one pair of specific primers and one TaqMan probe were designed for each subtype of influenza virus by the software Primer Express. The sensitivity of influenza was evaluated by testing known positive samples which had been two-fold diluted. The specificity of real-time PCR for influenza virus detection was assessed by cross testing 60 isolates of influenza A, 16 isolates of influenza B, and by testing a variety of other respiratory viruses positive samples; (2) 281 nasopharyngeal aspirate samples were detected by real-time PCR and virus isolation; (3) the 12 301 specimens from the patients of Guangzhou Children's Hospital were tested by using the real-time PCR method. Furthermore, the real-time PCR reagent was evaluated by comparing with the result of virus isolation.

RESULTS(1) The sensitivity of real-time PCR developed in this study for influenza A detection was 1:2(22) and for influenza B was 1:2(20) in two-fold serially diluted way. (2) No positive results were found in cross testing of other viruses positive specimens. (3) Influenza virus was detected from 1687 cases (13.71%) out of the 12 301 cases, including 773 cases (45.8%) positive for subtype A and 914 cases (54.2%) positive for subtype B; 455 out of 525 (86.7%) of influenza B positive specimens and 70 out of 525 (13.3%) of influenza A (H1N1) positive specimens were from patients seen during January to April; 419 out of 1118 (37.5%) specimens positive for influenza B and 699 out of 1118 (62.5%) specimens positive for influenza A (H1N1) were from patients seen from May to August. Influenza virus could be identified from 1380 samples by the methods of virus isolation, accounting for 81.80% of the 1687 positive samples detected by real-time PCR. All the influenza virus subtype A was H1N1.

CONCLUSIONThe real-time PCR method developed in this study was sensitive and specific for detecting influenza A and B in clinical specimens. During 2006, influenza A and influenza B co-circulated. The predominant virus was influenza B from January to April, peaking in April. Influenza A (H1N1) prevailed from May to August, with the peak in June.

Child ; China ; epidemiology ; Epidemics ; Humans ; Influenza A Virus, H1N1 Subtype ; isolation & purification ; Influenza, Human ; epidemiology ; virology ; Polymerase Chain Reaction ; methods ; Prevalence ; RNA, Viral ; isolation & purification ; Sensitivity and Specificity

Objective To compare the measurement differences between the skull 3D printed model and the real specimen under different CT scan slice thicknesses, and to explore the effect of slice thickness on the accuracy of the 3D printed model. Methods Eight normal skull specimens (marked as Nos. f-8) (group N) were used for CT scanning with different slice thicknesses, specifically 0.625 mm (group A),1.25 mm (group B) , and 2.5mm (group C) ,3.75 mm (group D) , and 5 mm (group E) , and then earned out 3D reconstruction and 3D printing respectively, and compared the anatomical reduction degree of the foramen magnum diameter, anterior clinoid distance, and butterfly wing distance of the 3D printed skull model. Results The reduction degree of anatomical structure of 3D printed skull model decreased with the increase of CT slice thickness. There was no significant difference in the accuracy of 3D model among groups A, B and C (P >0.05 ) . There was a high correlation between group A, B and C and group N ( P < 0 .05 ).The size indexes and statistical values of group A, B and C were similar. Conclusion CT slice thickness has a significant effect on the accuracy and reduction of the 3D printed skull model. The 3D printed model with thin slice data (0.625 mm,1.25 mm,2.5 mm) has higher accuracy and less difference.