Red culture is an important part of Chinese national culture and the most valuable spiritual wealth of the Chi-nese people.This article explores the necessity of using red culture to enhance the effectiveness of party building work in universi-ty-affiliated hospitals in the new era.It shares the main experiences of Sun Yat-sen Memorial Hospital,Zhongshan University,in learning from the spirit of the Gutian Conference to improve party building work.The article discusses how the integration of ideo-logical party building,practical innovation,and in-depth research has achieved certain results in party building work,providing references and basis for inspiring the vitality of grassroots party building work and innovating its content.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.

Case 1 A 68-year-old male patient presented with poor appetite persisting for over 2 months and had been diagnosed with liver cancer 7 days prior. He was admitted to Liaocheng Second People′s Hospital on October 17, 2017. On October 18, 2017, at 8:00, the patient underwent transcatheter arterial chemoembolization under local anesthesia. At 17:30, the patient developed a fever. At 20:00, "port wine-colored" urine was noted during catheterization, prompting transfer to the intensive care unit (ICU) for enhanced treatment. Case 2 A 67-year-old male patient with a previous diagnosis of hilar cholangiocarcinoma presented to the Emergency Department of Liaocheng Second People′s Hospital at 17:40 on March 25, 2025, due to "unconsciousness for one hour". Routine blood testing revealed significantly decreased white blood cells, red blood cells, and platelets. Considering the critical condition, the patient was transferred to the ICU. At 19:30, "port wine-colored" urine was observed in the urinary catheter. Both cases showed evident signs of hemolysis in blood samples, rapid disease progression, with fatal outcomes occurring within a short period. Blood cultures from both patients signaled positive in anaerobic bottles. Identification using the bioMérieux VITEK 2 COMPACT ANC card confirmed Clostridium perfringens. Bloodstream infections caused by Clostridium perfringens leading to such severe intravascular hemolysis are rare. The disease course is notoriously aggressive. In clinical practice, early recognition of this infection is paramount.

Objective:To investigate the diagnostic value of different conventional ultrasound-based radiomics models and their combination with clinical ultrasound features in the pathological subtyping of renal cell carcinoma.Methods:Retrospective data from 286 patients diagnosed with renal cell carcinoma by pathology at the Tenth Affiliated Hospital of Southern Medical University between May 1，2017 and June 7，2024 were collected. Among the 286 patients，203 were clear cell carcinoma，44 were papillary renal cell carcinoma，and 39 were chromophobe renal cell carcinoma. The patients were randomly divided into a training group（201 cases）and a validation group（85 cases）in a ratio of 7 to 3. Regions of interest（ROI）were delineated on conventional ultrasound images，and the radiomics features were extracted. Feature selection was performed using Student's t-test，Pearson correlation，and the least absolute shrinkage and selection operator（LASSO）. Six different machine learning methods included category gradient boosting（CatBoost），light gradient boosting machine（LightGBM），Logistic regression（LR），random forest（RF），support vector machine（SVM）and extreme gradient boosting（XGBoost）were used to establish radiomics models. Weight balancing was applied to correct for sample imbalance，and an imaging genomics model was constructed after balancing the samples. Independent predictors of renal cell carcinoma subtyping were selected from clinical ultrasound features using univariate and multivariate logistic regression analyses，and a clinical imaging model was constructed. The best-performing radiomics model was combined with the clinical independent predictors to construct a combined model. Receiver operating characteristic curves and the obuchowski index were plotted to evaluate model performance. Results:Among the radiomics models，the model constructed using Random Forest（RS RF）after balancing the samples exhibited the best predictive performance，with area under the curve（AUCs）of 0.918（micro-average ROC）and 0.903（macro-average ROC），and the obuchowski index was 0.885 in the validation group. The long and short axes of ultrasound image tumor masses were used as imaging independent predictors to construct a clinical imaging model. In the validation group，the AUCs of the clinical model were 0.886（micro-average ROC）and 0.606（macro-average ROC），and the obuchowski index was 0.569. The combined model achieved AUCs of 0.888（micro-average ROC）and 0.967（macro-average ROC），with an obuchowski index of 0.933，outperforming any single model. Conclusions:The combination of conventional ultrasound-based radiomics models with clinical ultrasound features demonstrates high diagnostic value in differentiating clear cell carcinoma，papillary renal cell carcinoma，and chromophobe renal cell carcinoma. It may serve as an auxiliary tool for providing timely and effective clinical guidance.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.

Red culture is an important part of Chinese national culture and the most valuable spiritual wealth of the Chi-nese people.This article explores the necessity of using red culture to enhance the effectiveness of party building work in universi-ty-affiliated hospitals in the new era.It shares the main experiences of Sun Yat-sen Memorial Hospital,Zhongshan University,in learning from the spirit of the Gutian Conference to improve party building work.The article discusses how the integration of ideo-logical party building,practical innovation,and in-depth research has achieved certain results in party building work,providing references and basis for inspiring the vitality of grassroots party building work and innovating its content.

Case 1 A 68-year-old male patient presented with poor appetite persisting for over 2 months and had been diagnosed with liver cancer 7 days prior. He was admitted to Liaocheng Second People′s Hospital on October 17, 2017. On October 18, 2017, at 8:00, the patient underwent transcatheter arterial chemoembolization under local anesthesia. At 17:30, the patient developed a fever. At 20:00, "port wine-colored" urine was noted during catheterization, prompting transfer to the intensive care unit (ICU) for enhanced treatment. Case 2 A 67-year-old male patient with a previous diagnosis of hilar cholangiocarcinoma presented to the Emergency Department of Liaocheng Second People′s Hospital at 17:40 on March 25, 2025, due to "unconsciousness for one hour". Routine blood testing revealed significantly decreased white blood cells, red blood cells, and platelets. Considering the critical condition, the patient was transferred to the ICU. At 19:30, "port wine-colored" urine was observed in the urinary catheter. Both cases showed evident signs of hemolysis in blood samples, rapid disease progression, with fatal outcomes occurring within a short period. Blood cultures from both patients signaled positive in anaerobic bottles. Identification using the bioMérieux VITEK 2 COMPACT ANC card confirmed Clostridium perfringens. Bloodstream infections caused by Clostridium perfringens leading to such severe intravascular hemolysis are rare. The disease course is notoriously aggressive. In clinical practice, early recognition of this infection is paramount.

Objective:To investigate the diagnostic value of different conventional ultrasound-based radiomics models and their combination with clinical ultrasound features in the pathological subtyping of renal cell carcinoma.Methods:Retrospective data from 286 patients diagnosed with renal cell carcinoma by pathology at the Tenth Affiliated Hospital of Southern Medical University between May 1，2017 and June 7，2024 were collected. Among the 286 patients，203 were clear cell carcinoma，44 were papillary renal cell carcinoma，and 39 were chromophobe renal cell carcinoma. The patients were randomly divided into a training group（201 cases）and a validation group（85 cases）in a ratio of 7 to 3. Regions of interest（ROI）were delineated on conventional ultrasound images，and the radiomics features were extracted. Feature selection was performed using Student's t-test，Pearson correlation，and the least absolute shrinkage and selection operator（LASSO）. Six different machine learning methods included category gradient boosting（CatBoost），light gradient boosting machine（LightGBM），Logistic regression（LR），random forest（RF），support vector machine（SVM）and extreme gradient boosting（XGBoost）were used to establish radiomics models. Weight balancing was applied to correct for sample imbalance，and an imaging genomics model was constructed after balancing the samples. Independent predictors of renal cell carcinoma subtyping were selected from clinical ultrasound features using univariate and multivariate logistic regression analyses，and a clinical imaging model was constructed. The best-performing radiomics model was combined with the clinical independent predictors to construct a combined model. Receiver operating characteristic curves and the obuchowski index were plotted to evaluate model performance. Results:Among the radiomics models，the model constructed using Random Forest（RS RF）after balancing the samples exhibited the best predictive performance，with area under the curve（AUCs）of 0.918（micro-average ROC）and 0.903（macro-average ROC），and the obuchowski index was 0.885 in the validation group. The long and short axes of ultrasound image tumor masses were used as imaging independent predictors to construct a clinical imaging model. In the validation group，the AUCs of the clinical model were 0.886（micro-average ROC）and 0.606（macro-average ROC），and the obuchowski index was 0.569. The combined model achieved AUCs of 0.888（micro-average ROC）and 0.967（macro-average ROC），with an obuchowski index of 0.933，outperforming any single model. Conclusions:The combination of conventional ultrasound-based radiomics models with clinical ultrasound features demonstrates high diagnostic value in differentiating clear cell carcinoma，papillary renal cell carcinoma，and chromophobe renal cell carcinoma. It may serve as an auxiliary tool for providing timely and effective clinical guidance.

Objective To establish a novel real-time quality control method for rapidly identifying the random error of sodium ion con-centration in serum using an artificial intelligence voting algorithm,and evaluate the relevant effectiveness of the model established on this basis.Methods A total of 144 754 test results of serum sodium ion rom the inpatients measured by Beckman AU5400 biochemis-try analyzer from January to May 2021 were obtained retrospectively from laboratory information system of the Department of Clinical La-boratory,Nanjing Drum Tower Hospital,and all the data were used as unbiased data for the current study.The random errors were arti-ficially introduced to generate the corresponding biased data set.Subsequently,the voting algorithm-based internal quality control model(ViQC)was established using the principles of the voting algorithm.The ViQC model and five classical PBRTQC(patient-based real-time quality control)algorithms were performed direct to each biased data.The analytical performance of the ViQC model was evaluated by using classification model criteria.The trimmed average number of patient samples until error detection(tANPed)was used to com-pare the clinical detection efficacy of the ViQC model with those of the five classical algorithms,and the error detection curves were plotted.Results Compare with all the classical algorithms,the ViQC model showed a false positive rate below 0.002 and achieved ac-curacy above 0.951 in detecting all the deviations.When the error factors were 1.5,2.5,and 3.0,the false positive rate of the ViQC model was zero.When the error factor was 2.5,its accuracy reached 0.979.Compared to the five classical PBRTQC algorithms,the ViQC model reduced the overall average tANPed by up to 34％and showed higher sensitivity for error detection.In addition,the ViQC model demonstrated the area under the ROC curve was as high as 0.989 at TEa on the test set,but the value of tANPed wasonly five.Conclusion We successfully established a real-time quality control model for the data of patients based on artificial intelligence algo-rithms,and its efficacy of clinical detection was superior to the traditional PBRTQC algorithms.

Objective To explore the role of the PPARα/HOXA10 signaling pathway in mediating the effect of adiponectin(APN)for improving endometrial receptivity in a rat model of polycystic ovary syndrome(PCOS).Methods Forty female SD rat models with letrozole-induced PCOS were randomized,with 10 normal rats as the control,into 4 equal groups for treatment with APN alone,APN combined with GW6471(a specific PPARα inhibitor)or the vehicle for 20 days,or no further treatment(PCOS model group).GW6471 treatment(daily dose of 1 mg/kg)and vehicle treatment were initiated on the 11th day following the start of APN treatment,all administered via intraperitoneal injection.The rats were observed for changes in estrous cycle,body weight,ovarian index and morphology,uterine index and morphology,serum hormone levels and lipid metabolism parameters.Endometrial expressions of PPARα and HOXA10 were detected with immunohistochemistry and Western blotting.The development of endometrial pinopodes was observed under electron microscope,and pregnancies of the rats were recorded.Results The rat models of PCOS exhibited obvious estrous cycle disorders with significantly prolonged estrous interval,increased body weight and ovarian index,decreased uterine index,disordered serum hormones and lipid metabolism(P<0.05),and polycystic ovarian changes,and these changes were significantly improved by APN treatment.Endometrial expressions of PPARα and HOXA10 were significantly lowered in PCOS rats and effectively up-regulated after APN treatment,but GW6471 treatment obviously blocked the effect of APN(P<0.05).APN showed strong protective effect against PCOS-induced impairment of endometrial pinopode development,and this effect was obviously attenuated by GW6471.APN also significantly increased the pregnancy rate and embryo number in PCOS rats,while GW6471 obviously reduced the embryo number and caused developmental retardation of the embryos.Conclusion APN can improve endometrial receptivity in PCOS rats by upregulating the PARα/HOXA10 pathway.