ObjectiveTo evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

This study was aimed at investigating the effects of demethylase fat mass and obesity-associated protein(FTO)and methyltransferase methyltransferase like protein 3(METTL3),key molecules in N6-methyladenosine(m6A)modification,on the replication and proliferation of Japanese encephalitis virus(JEV).Recombinant lentiviruses were generated by packaging the FTO and green fluorescent protein into lentiviral vectors.Neuro2a cells,a mouse neuroblastoma cell line,were infected with the lentivirus,and stable FTO-expressing cell lines were obtained through puromycin selection.Successful overexpression of FTO was confirmed through fluorescence microscopy,real-time quantitative PCR,and western blot analysis.When Neuro2a cells overexpressing FTO were infected with JEV,the overexpression of FTO decreased JEV replication in the cells,and increased the expression of interferon(IFN)and related molecules.Additionally,treatment of JEV-infected Neuro2a cells with the METTL3-specific inhibitor STM2457 resulted in a dose-dependent decrease in JEV replication and viral protein expression.These findings suggested that lowering m6A methylation levels inhibits JEV replication,thus shedding light on the regulatory role of methylation modification in JEV replication.

Objective:To investigate the risk factors and preventive strategies for post laparoscopic one-stage ap-pendectomy for fatty liquefaction(OIH)in pediatric appendiceal abscesses.Methods:170 children with appendiceal ab-scess who underwent laparoscopic one-stage surgery to remove the appendix in Jiaozuo Maternal and Child Health Hospital,Henan Province,from January 2021 to December 2024 were selected for the study.The first 100 cases were included in the training set,patients were divided into the non-OIH group(n=66)and the OIH group(n=34)according to whether OIH occurred in the postoperative period.According to the same criteria,the latter 70 children with appendiceal abscess were included in the validation set,including 44 in the non-OIH group and 26 in the OIH group.Univariate and multivariate logistic regression was applied to analyse the factors influencing postoperative OIH.Stepwise regression was used to assess the importance of each factor,and the factors were ranked according to the Akaike Information Cri-teria(AIC).A risk prediction model for postoperative OIH was constructed and evaluated by strong influence point analy-sis,ROC curve,calibration curve,and decision curve.Results:In the training and validation sets,the differences in general information such as fat thickness,use of high-frequency electrocautery,incision cleaning,Hb,WBC,Alb,HbA1c,and comorbid underlying diseases between the non-OIH and OIH groups were statistically significant(P<0.05).The re-sults of multivariate logistic regression analysis showed that fat thickness,use of high-frequency electrosurgical knife,incision cleaning,Hb,WBC,Alb,HbA1c,and co-morbid underlying diseases were independent influences on OIH(P<0.05).Fat thickness,Alb,and use of HFD were most strongly associated with postoperative OIH,and the multifactorial model consisting of fat thickness,Alb,and use of HFD model had a good value for assessing the risk assessment of postoperative OIH,and had a high predictive value.The strong influence point analyses of the regression model rows showed that the Cook distances were all less than 1,i.e.,there were no data points in the modelled data that signifi-cantly influenced the estimation of model parameters.the area under the ROC curve(AUC)was 0.925(95%CI:0.887～0.953),i.e.,the model had good discriminatory ability.The model calibration curve was nearly a diagonal line,implying that the predicted probability was approximately equal to the actual probability,and the calculated Brier value=0.095,in-dicating that the model had good predictive ability.The decision curves of the predictive model were higher than the 2 extreme curves for threshold probabilities of 0.1 to 0.9,i.e.,the net benefit of the predictive model was higher.Conclu-sion:Fat thickness,Alb levels,and high-frequency electrosurgical knife use showed a strong association with postop-erative OIH.A multifactorial model constructed from fat thickness,Alb levels,and high-frequency electrocautery knife use demonstrated good efficacy in assessing the risk of OIH after laparoscopic one-stage appendectomy for pediatric appendiceal abscess.

This study was aimed at investigating the effects of demethylase fat mass and obesity-associated protein(FTO)and methyltransferase methyltransferase like protein 3(METTL3),key molecules in N6-methyladenosine(m6A)modification,on the replication and proliferation of Japanese encephalitis virus(JEV).Recombinant lentiviruses were generated by packaging the FTO and green fluorescent protein into lentiviral vectors.Neuro2a cells,a mouse neuroblastoma cell line,were infected with the lentivirus,and stable FTO-expressing cell lines were obtained through puromycin selection.Successful overexpression of FTO was confirmed through fluorescence microscopy,real-time quantitative PCR,and western blot analysis.When Neuro2a cells overexpressing FTO were infected with JEV,the overexpression of FTO decreased JEV replication in the cells,and increased the expression of interferon(IFN)and related molecules.Additionally,treatment of JEV-infected Neuro2a cells with the METTL3-specific inhibitor STM2457 resulted in a dose-dependent decrease in JEV replication and viral protein expression.These findings suggested that lowering m6A methylation levels inhibits JEV replication,thus shedding light on the regulatory role of methylation modification in JEV replication.

Objective:To investigate the risk factors and preventive strategies for post laparoscopic one-stage ap-pendectomy for fatty liquefaction(OIH)in pediatric appendiceal abscesses.Methods:170 children with appendiceal ab-scess who underwent laparoscopic one-stage surgery to remove the appendix in Jiaozuo Maternal and Child Health Hospital,Henan Province,from January 2021 to December 2024 were selected for the study.The first 100 cases were included in the training set,patients were divided into the non-OIH group(n=66)and the OIH group(n=34)according to whether OIH occurred in the postoperative period.According to the same criteria,the latter 70 children with appendiceal abscess were included in the validation set,including 44 in the non-OIH group and 26 in the OIH group.Univariate and multivariate logistic regression was applied to analyse the factors influencing postoperative OIH.Stepwise regression was used to assess the importance of each factor,and the factors were ranked according to the Akaike Information Cri-teria(AIC).A risk prediction model for postoperative OIH was constructed and evaluated by strong influence point analy-sis,ROC curve,calibration curve,and decision curve.Results:In the training and validation sets,the differences in general information such as fat thickness,use of high-frequency electrocautery,incision cleaning,Hb,WBC,Alb,HbA1c,and comorbid underlying diseases between the non-OIH and OIH groups were statistically significant(P<0.05).The re-sults of multivariate logistic regression analysis showed that fat thickness,use of high-frequency electrosurgical knife,incision cleaning,Hb,WBC,Alb,HbA1c,and co-morbid underlying diseases were independent influences on OIH(P<0.05).Fat thickness,Alb,and use of HFD were most strongly associated with postoperative OIH,and the multifactorial model consisting of fat thickness,Alb,and use of HFD model had a good value for assessing the risk assessment of postoperative OIH,and had a high predictive value.The strong influence point analyses of the regression model rows showed that the Cook distances were all less than 1,i.e.,there were no data points in the modelled data that signifi-cantly influenced the estimation of model parameters.the area under the ROC curve(AUC)was 0.925(95%CI:0.887～0.953),i.e.,the model had good discriminatory ability.The model calibration curve was nearly a diagonal line,implying that the predicted probability was approximately equal to the actual probability,and the calculated Brier value=0.095,in-dicating that the model had good predictive ability.The decision curves of the predictive model were higher than the 2 extreme curves for threshold probabilities of 0.1 to 0.9,i.e.,the net benefit of the predictive model was higher.Conclu-sion:Fat thickness,Alb levels,and high-frequency electrosurgical knife use showed a strong association with postop-erative OIH.A multifactorial model constructed from fat thickness,Alb levels,and high-frequency electrocautery knife use demonstrated good efficacy in assessing the risk of OIH after laparoscopic one-stage appendectomy for pediatric appendiceal abscess.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.