Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective To observe the value of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images.Methods Totally 600 spinal sagittal X-ray images of 600 patients with adolescent idiopathic scoliosis were retrospectively enrolled.The images were preprocessed,and T4-T12 and L1-L5 were manually annotated as reference standards.The global attention refinement(GAR)module and attention-based atrous spatial pyramid pooling(A-ASPP)module were added to U-Net model,fivefold cross validation method was used for training and validation,and its performance for segmenting sagittal X-ray images was analyzed,and compared with pyramid scene parsing network(PSPNet),visual geometry group(VGG)-UNet and DeepLabv3+.Results The precision,sensitivity and Dice similarity coefficient of global and contextual dual attention U-Net model for segmenting thoracic and lumbar vertebrae in spinal sagittal X-ray images was 90.58％,89.51％,and 90.20％,respectively,which were superior to PSPNet,VGG-UNet and DeepLabv3+.The loss function and mean intersection over union curves showed that it converged quickly and had good generalization ability.Conclusion The global and contextual dual attention U-Net model could effectively segment thoracic and lumbar vertebrae in spinal sagittal X-ray images.

RCBTB1 gene associated hereditary retinopathy is an extremely rare inherited retinal disease (IRD) discovered recently. The mutation of RCBTB1 gene can lead to a variety of IRD clinical phenotypes, such as early retinitis pigmentosa and delayed chorioretinal atrophy. The hereditary mode of RCBTB1 gene associated retinopathy is autosomal recessive. RCBTB1 gene plays an important role in maintaining mitochondrial function and anti-oxidative stress defense mechanism of retinal pigment epithelium cells. In the future, it is necessary to further determine whether there is a genotypic and phenotypic correlation in the age of onset of RCBTB1 gene associated retinopathy or multi-organ involvement, and evaluate the safety and efficacy of adeno-associated virus-mediated RCBTB1 gene replacement therapy in animal models, to explore the feasibility of gene replacement therapy and stem cell therapy.

The aim of this study is to investigate the immune effect of H9 subtype avian influenza virus(AIV)NP protein on mice and lay the foundation for the development of avian influenza vi-rus(AIV)vaccine.The H9N2 virus NP gene amplification product was cloned into the pET-32a expression vector,and the protein expression was verified by SDS-PAGE and Western blot,and the immune effect was evaluated by measuring the secretion of supernatant multicytokines in mouse splenocytes culture.The results showed that the total length of the coding region sequence of NP gene was 1 497 bp,NP recombinant proteins exist in both soluble and insoluble protein forms,and the specific bands were visible in Western blot.After immunizing mice,serum produces IgG-bind-ing antibodies with antibody titers of 1∶40 000.Compared with the control group,IL-2,IL-5 and IL-13 were significantly increased(P＜0.001),and the secretion of IL-6 was significantly increased compared with the control group.IL-4 and IL-12 p70 secretions were elevated compared with con-trols,but there was no significant difference.Compared with the control group,the secretions of IL-1β,IL-18,GM-CMF,TNF-α and IFN-γ were inhibited,but the difference was not significant(P＞0.05).The results showed that NP recombinant protein is a good immunogen,laying a foundation for in-depth research on influenza vaccine.

In order to prepare monoclonal antibody to σ A protein of avian reovirus(ARV)and es-tablish a sandwich ELISA method for the detection of ARV pathogens.In this study,the σ A pro-tein of ARV was expressed as antigen by prokaryotic expression and used to immunize BALB/c mice.Then,stable hybridoma cell lines were screened,and monoclonal antibodies were prepared.A sandwich ELISA detection method based on monoclonal antibody of σA protein was established,and the sensitivity,specificity,repeatability,and accuracy were tested.The results showed that the recombinant plasmid pET-32a-σA was successfully constructed and well expressed in Escherichia coli.After immunizing mice,two hybridoma cell lines 6B3 and 8E11,which could secrete mono-clonal antibodies stably,were successfully prepared.Both monoclonal antibodies could react with natural ARV.One of the monoclonal antibodies secreted by 6B3 was selected as the capture anti-body and the ARV-positive chicken polyclonal antibody was used as the detection antibody.A sand-wich ELISA method was established to detect ARV by optimizing the reaction conditions.The specific test showed that the method only detected ARV pathogens and no other common chicken viral pathogens were detected.The detection limit was 7.72 X 102 EID50/mL of ARV antigen.The coefficient of variation of the intra-and inter-assay tests were less than 5.0％and the reproducibili-ty was good.Thirty samples were tested simultaneously by σA-sandwich ELISA and PCR,and the results were consistent with each other.In conclusion,a sandwich ELISA method based on the monoclonal antibody of σA protein was successfully established for the identification and detection of ARV,which provided a technical means for the accurate and rapid detection of ARV.

ObjectiveThe potential suitable area for ecological planting， key ecological factors， and suitable range of Polygonatum odoratum in China were analyzed to provide theoretical and scientific guidance for the artificial planting of P. odoratum. MethodA total of 454 geographical distribution records of P. odoratum in China and 118 ecological factors were used in this study. The maximum entropy model （MaxEnt） was adopted to predict the suitable areas of P. odoratum. The key ecological factors and their suitable ranges were analyzed by the jackknife method， contribution rates of ecological factors， and response curves. ResultThe suitable areas of P. odoratum were mainly located in the northwest， north， and northeast of China， the highly suitable areas of which were concentrated in Shaanxi， Shanxi， Gansu， etc. Solar radiation in November （Srad11）， precipitation in July （Prec7）， percentage of evergreen/deciduous needleleaf trees （Class1）， silt content （2-50 μm） mass fraction （SLTPPT）， and annual average temperature （Bio1） were found to be the key ecological factors affecting the suitable distribution of P. odoratum in China. The cumulative contribution rate of solar radiation factors （31.29%）>vegetation factors （25.61%）>soil factors （19.52%）>precipitation factors （11.38%）>temperature factors （8.57%）>topography factors （3.63%）. ConclusionIt is suggested to carry out ecological planting of P. odoratum mainly in Shaanxi （such as Baoji and Ankang Cities and Ningshan， Liuba， and Hua Counties）， Gansu （such as Tianshui City， Gannan Tibetan Autonomous Prefecture， and Liangdang and Huating Counties）， and Shanxi （such as Yangquan， Taiyuan， Fenyang， and Jinzhong Cities， as well as Xingxian County） of China. Solar radiation factors should be given priority in the planting process， followed by vegetation， soil， precipitation， temperature， and topography factors. The range of key ecological factors， namely Srad11， Prec7， Class1， SLTPPT， and Bio1 should be controlled within 8 095.21-10 334.98 （optimum 8 787.50） kJ·m^-2·d^-1， 109.99-223.60 （146.91） mm， 1.00%-9.45% （6.76%-10.68%）， 41.73%-50.35% （46.53%）， and 3.29-16.33 （13.57） °C， respectively.

Objective:To follow-up the previous phase Ⅲ clinical trial of recombinant human follicle-stimulating hormone (Follitrope ?), and to evaluate the cumulative pregnancy rate, the cumulative live birth rate, and the neonatal outcomes of subjects. Methods:The phase Ⅲ clinical study of Follitrope ? in China (CTR20150341/CTR20150341, May 15, 2015—June 27, 2016) was followed up until December 31, 2022. Patients were divided into Follitrope ? group and Gonal-F ? group. According to the age, patients were divided into three subgroups: 20-30 years old subgroup, 31-35 years old subgroup and 36-39 years old subgroup. Cumulative pregnancy rate, cumulative live birth rate, number of embryos transferred per cycle, live births per embryo transfer cycle, live births per oocyte retrieved, and neonatal characteristics were analyzed. Results:A total of 446 patients were included in the analysis, of which 336 (75.3%) were in the Follitrope ? group and 110 (24.7%) in the Gonal-F ? group, with a follow-up period of 6.5 years. There were no statistically significant differences between the Follitrope ? group and the Gonal-F ? group in terms of cumulative pregnancy rate and cumulative live birth rate (all P>0.05). Similar cumulative pregnancy rates and cumulative live birth rates were observed between the two groups within each age subgroup (all P>0.05). In the 36-39 years old subgroup, the Follitrope ? group showed a trend towards higher cumulative pregnancy rate [60.0% (12/20)] and cumulative live birth rate [55.0% (11/20)] compared with the Gonal-F ? group [28.6% (2/7), 14.3% (1/7)], however, none of the differences were statistically significant (all P>0.05). Twin pregnancy rates, live births per embryo, live birth per oocyte, newborn gender, birth weight, and birth defect rates were similar between the Follitrope ? group and the Gonal-F ? group without statistically significant differences (all P>0.05). Conclusion:The safety and effectiveness of Follitrope ? in controlled ovarian hyperstimulation are similar to those of Gonal-F ?. Compared with Gonal-F ?, there is a trend toward higher cumulative pregnancy rates and cumulative live birth rates in elderly patients with Follitrope ?, although there is no statistical difference.

Objective:To follow-up the previous phase Ⅲ clinical trial of recombinant human follicle-stimulating hormone (Follitrope ?), and to evaluate the cumulative pregnancy rate, the cumulative live birth rate, and the neonatal outcomes of subjects. Methods:The phase Ⅲ clinical study of Follitrope ? in China (CTR20150341/CTR20150341, May 15, 2015—June 27, 2016) was followed up until December 31, 2022. Patients were divided into Follitrope ? group and Gonal-F ? group. According to the age, patients were divided into three subgroups: 20-30 years old subgroup, 31-35 years old subgroup and 36-39 years old subgroup. Cumulative pregnancy rate, cumulative live birth rate, number of embryos transferred per cycle, live births per embryo transfer cycle, live births per oocyte retrieved, and neonatal characteristics were analyzed. Results:A total of 446 patients were included in the analysis, of which 336 (75.3%) were in the Follitrope ? group and 110 (24.7%) in the Gonal-F ? group, with a follow-up period of 6.5 years. There were no statistically significant differences between the Follitrope ? group and the Gonal-F ? group in terms of cumulative pregnancy rate and cumulative live birth rate (all P>0.05). Similar cumulative pregnancy rates and cumulative live birth rates were observed between the two groups within each age subgroup (all P>0.05). In the 36-39 years old subgroup, the Follitrope ? group showed a trend towards higher cumulative pregnancy rate [60.0% (12/20)] and cumulative live birth rate [55.0% (11/20)] compared with the Gonal-F ? group [28.6% (2/7), 14.3% (1/7)], however, none of the differences were statistically significant (all P>0.05). Twin pregnancy rates, live births per embryo, live birth per oocyte, newborn gender, birth weight, and birth defect rates were similar between the Follitrope ? group and the Gonal-F ? group without statistically significant differences (all P>0.05). Conclusion:The safety and effectiveness of Follitrope ? in controlled ovarian hyperstimulation are similar to those of Gonal-F ?. Compared with Gonal-F ?, there is a trend toward higher cumulative pregnancy rates and cumulative live birth rates in elderly patients with Follitrope ?, although there is no statistical difference.