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 construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P＜0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P＜0.05).Water content in arterial period in malignant group was higher than that in benign group(P＜0.05).k value in arterial period in the malignant group was higher than in benign group(P＜0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P＜0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P＜0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.

Objective:To construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P＜0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P＜0.05).Water content in arterial period in malignant group was higher than that in benign group(P＜0.05).k value in arterial period in the malignant group was higher than in benign group(P＜0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P＜0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P＜0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.

ObjectiveTo analyze the changes in the degree of coordination of China's major epidemic prevention and control efforts before and after the outbreak of the Corona Virus Disease 2019 (COVID-19), so as to explore the impact of epidemic prevention and control measures on coordination dynamics. MethodsA total of 3 864 policy documents related to epidemic prevention and control from January 2000 to December 2020 across 31 provinces (autonomous regions, and municipalities) in China were systematically collected. Contents specific to collaborative and cooperative efforts were extracted, and the extent of interdepartmental coordination were quantified to assess the effectiveness of epidemic prevention and control efforts. Wilcoxon signed-rank test was adopted to statistically analyze the differences between the indicators before and after the epidemic. ResultsThe average overall coordination level for major epidemic prevention and control in 31 provinces (autonomous regions, and municipalities) increased from 43.06% to 97.62%, and the average coordination levels in the eastern, central, and western China soared from 42.29%, 37.50%, and 47.46%, to 98.81%, 96.20%, and 97.46%, respectively, with statistically significant differences (all P<0.05). In terms of department categorization, coordination levels in the professional departments and the key support departments peaked at 100.00%, while other support departments rose to 95.43%, with an increase of 77.15%, 181.85%, and 139.89%, respectively, exhibiting noteworthy statistically significant differences (all P<0.001). ConclusionThe scope of coordination departments of China’s major epidemic prevention and control exists a remarkable surge following the COVID-19 outbreak, notable heightened coordination is particularly observed among the key support departments. Future endeavors should prioritize the roles played by diverse departments in epidemic prevention and control, enhancing both the clarity of departmental responsibilities and the effectiveness of interdepartmental coordination.

ObjectiveTo systematically evaluate the public health governance capacity of 40 cities in Jiangsu, Zhejiang, and Anhui Provinces, providing a scientific evaluation basis for building a "Healthy Yangtze River Delta". MethodsA comprehensive collection of policy documents, public information reports, and research literature related to public health governance capacity in Jiangsu, Zhejiang, and Anhui Provinces was conducted, totaling 6 920 policy documents, 1 720 information reports, and 1 200 literature pieces. Based on the evaluation standards for an appropriate public health system established by the research team, the basic status of public health governance capacity was assessed to identify the strengths and weaknesses of the 40 cities. ResultsIn 2022, the public health governance capacity score for the 40 cities in Jiangsu, Zhejiang, and Anhui Provinces was (562.5±38.0) points. In terms of specific areas, the emergency response field received the highest score of (791.4±49.7) points, while the chronic disease prevention and control field received the lowest score of (368.2±29.6) points. The Jiangsu-Zhejiang-Anhui region has largely achieved the strategic priority of health, gradually improved public health legal regulations, and established a basic organizational framework with a solid foundation for information and data infrastructure. However, challenges still need to be addressed, such as unstable government funding for public health, unclear departmental responsibilities, and barriers to information interoperability. ConclusionThe public health governance capacity of the 40 cities in Jiangsu, Zhejiang, and Anhui Province has been at a moderate level, but disparities have still existed across regions and fields. In the future, while continuing to deepen existing advantages, it is essential to accurately identify the causes of problems, establish a long-term and stable investment mechanism, enhance information connectivity mechanisms, further clarify departmental responsibilities, and promote the achievement of the "Healthy Yangtze River Delta" goal.

Objective To explore the relationship between levels of vascular endothelial growth factor(VEGF),insulin-like growth factor 1(IGF-1),and transforming growth factor-β1(TGF-β1)in the synovial fluid of children with avascular necrosis of the femoral head(also known as Perthes disease)and the efficacy of postoperative revascularization,aiming to provide a basis for subsequent diagnosis and treatment.Methods A retrospective study was conducted on 262 children with Perthes disease admitted to the Affiliated Hospital of Gansu University of Chinese Medicine from January 2023 to June 2024.Based on postoperative revascularization efficacy,patients were divided into good revascularization group(n=228)and poor revascularization group(n=34).For poor revascularization group,a 1:2 matched case-control design was used to select 68 age-matched children with hip synovitis who underwent hip joint fluid puncture as control group.Additionally,82 children with Perthes disease treated at the hospital from June 2024 to January 2025 were enrolled as a validation cohort for nomogram model verification.The expression levels of VEGF,IGF-1 and TGF-β1 in the synovial fluid of three groups were compared.Confounding biases were controlled through univariate and stratified analyses.Binary logistic regression analysis was used to identify independent factors affecting the revascularization effect.R software was utilized to draw and verify the nomogram model for predicting the postoperative revascularization effect.Results The levels of VEGF,IGF-1 and TGF-β1 in the synovial fluid of children in poor revascularization group were all higher than those in control group and good revascularization group(P<0.05).After three types of reconstructive surgeries,the levels of VEGF,IGF-1 and TGF-β1 in the synovial fluid of children with poor revascularization were all higher than those in children with good revascularization(P<0.05);however,there was no statistically significant difference in the above indicators among different surgical types(P>0.05).Binary logistic regression analysis showed that the levels of VEGF,IGF-1,and TGF-β1 in the synovial fluid were independent risk factors for poor postoperative revascularization in children with Perthes disease.The area under the ROC curve of the nomogram model established accordingly for predicting poor postoperative revascularization in children with Perthes disease was 0.875(95%CI 0.805-0.945),with a sensitivity of 0.874 and a specificity of 0.851.Moreover,the calibration curve and decision curve analysis(DCA)indicated that the model had good clinical applicability.Conclusions The increased levels of VEGF,IGF-1 and TGF-β1 in synovial fluid are associated with poor postoperative revascularization in children with Perthes disease.These three factors are expected to become prognostic indicators for children with Perthes disease.

Objective:To evaluate the diagnostic efficacy of conventional ultrasound combined with contrast-enhanced ultrasound (CEUS) for detecting cervical lymph node metastasis in head and neck squamous cell carcinoma (HNSCC).Methods:This retrospective case control study included 259 patients (249 males and 10 females,aged 40-88 years with a median age of 63 years) who were pathologically diagnosed with HNSCC at the First Affiliated Hospital of Chongqing Medical University from April 2022 to August 2024. A total of 259 lymph nodes were assessed(78 pathologically positive nodes and 181 pathologically negative ones). Receiver operating characteristic (ROC) curves were plotted to compare the diagnostic efficacies of conventional ultrasound combined with CEUS and CT, MRI, or conventional ultrasound for cervical lymph node metastasis. Patients were randomly assigned to a training group ( n=208) and a validation group ( n=51) (8∶2). Univariate and multivariate Logistic regression were used to analyze the independent risk factors for lymph node metastasis prediction. A nomogram model was constructed based on independent risk factors. The model predictive efficacy was assessed by ROC curve, and model′s fit was evaluated by Hosmer-Lemeshow test. Results:The area under the curve (AUC) for conventional ultrasound combined with CEUS in predicting cervical lymph node metastasis in HNSCC was 0.923 (95% CI: 0.880-0.965), which was significantly higher than those for enhanced CT, cervical enhanced MRI, and conventional ultrasound [AUC were 0.820 (95% CI: 0.753-0.886), 0.802 (95% CI: 0.737-0.866), and0.836 (95% CI: 0.774-0.899), respectively].There were no statistically significant differences in clinical data between the two groups (all P>0.05). Univariate Logistic regression analysis showed that, among contrast-enhanced ultrasound features, the centripetal perfusion pattern, irregular perfusion defect type, and uneven distribution of contrast agent were significantly associated with cervical lymph node metastasis (all P<0.05). Among conventional ultrasound features, L/S ratio≤1.5, heterogeneous internal echoes, uneven cortex thickening, blurred corticomedullary boundary, loss of lymphatic gate structure, and peripheral or mixed type on color Doppler flow imaging were significantly associated with cervical lymph node metastasis (all P<0.05). Multivariate Logistic regression analysis indicated that the centripetal perfusion pattern, heterogeneous internal echoes, and uneven cortical thickening were independent risk factors for cervical lymph node metastasis (all P<0.05). A nomogram model was constructed based on the above independent risk factors, and offered an AUC of 0.933 (95% CI:0.890-0.976) in the training group, which was significantly higher than that for enhanced CT, enhanced MRI, conventional ultrasound, and conventional ultrasound combined with CEUS [AUC were 0.818 (95% CI:0.747-0.890), 0.807 (95% CI:0.739-0.875), 0.842 (95% CI: 0.777-0.908), and 0.921 (95% CI:0.876-0.967), respectively]. In the validation group, the AUC was 0.866 (95% CI:0.703-1.000), which was higher than that for cervical enhanced CT, enhanced MRI, and conventional ultrasound [AUC were 0.820 (95% CI:0.613-1.000), 0.711 (95% CI:0.478-0.943), and 0.748 (95% CI:0.515-0.982), respectively]. Conclusion:The combination of conventional ultrasound and CEUS has significant clinical application value in predicting cervical lymph node metastasis in HNSCC.

A deep learning-based method for recognizing the minutiae in fingerprint,as well as a Python programming-based evaluation system for quantifying the evidence value of fingerprint was proposed.Firstly,latent fingerprints,which were developed using a series of fluorescent nanomaterials synthesized by chemical methods,were used as unknown fingerprint(UKFP),while ink impressed fingerprints were used as known fingerprint(KFP).Then,the bifurcations and terminations in minutiae were recognized using the improved YOLOv8 deep learning model.After that,the similarity index(Sim.)of UKFP vs KFP were calculated by analyzing the angle similarity factor(α)and the curve similarity factor(β)between UKFP and KFP,meanwhile,the sensitivity index(Sen.)were calculated by analyzing the fineness factor(γ)between UKFP and KFP.The evidence value(EV)of fingerprint was thus obtained by the combination of Sim.and Sen..The calculation formulas for above evaluation factors(i.e.α,β and γ),evaluation indexes(i.e.Sim.and Sen.),and EV were also put forward.Finally,the evaluation system for quantifying the evidence value of fingerprint was established,the feasibility and reliability of this system were verified,and the external factors that impacted on Sim.,Sen.,and EV were investigated in detail.The Python-based evaluation system for quantifying the evidence value of fingerprint could achieve the goals objectively,comprehensively,accurately and efficiently,exhibiting easy operability,high efficiency,responsiveness and reliability.This research was expected to provide beneficial references for quantitatively evaluating and thoroughly developing the evidence value.