Objective: To analyze the time-related factors influencing daily blood donation attendance at fixed donation sites in Nanjing and the heterogeneity among sites, and to provide evidence for optimizing site layout and operational management. Methods: Based on daily attendance data from 17 fixed donation sites in Nanjing for the full year of 2025, matched with contemporaneous meteorological and air quality data, a two-stage negative binomial generalized linear mixed model (NB-GLMM) was constructed. In the second stage, site-level static characteristics (number of scenic spots, daily operating hours, number of shopping malls, public transport stops, hospitals, universities, and residential buildings) were additionally incorporated. Model comparison was performed using Akaike information criterion (AIC). Significance of random effects was tested by likelihood ratio test, and site-specific random effects were extracted using empirical Bayes estimation. Robustness of the results was verified through residual diagnostics and multiple sensitivity analyses. Results: The first-stage model showed that rainfall was associated with lower attendance (IRR=0.943, P<0.001); holidays were associated with higher attendance (IRR=1.162, P<0.001); Saturdays and Sundays showed higher attendance than Mondays, with the strongest association on Sundays (IRR=1.195, P<0.001). Temperature exhibited a non-linear relationship (linear term P=0.051, quadratic term P=0.036). The joint results of the linear and quadratic terms for temperature suggested a nonlinear relationship between attendance and temperature. After introducing static characteristics in the second stage, the number of scenic spots (IRR=1.372, P=0.008) and daily operating hours (IRR=1.823, P<0.001) were found to be positively associated with attendance, while the numbers of shopping malls, public transport stops, hospitals, universities, and residential buildings showed no significant effects. Conclusion: Daily blood donation attendance at fixed sites in Nanjing is influenced by multiple factors including weather, day of the week, holidays, and site surroundings. Substantial heterogeneity exists among different sites; extended operating hours and more nearby scenic spots are associated with increased attendance.

ObjectiveTo compare the Children's Hepatic tumors International Collaboration （CHIC） and the new Chinese Children's Cancer Group （CCCG） hepatoblastoma （HB） risk stratification systems in terms of their prognostic prediction efficacy and chemotherapy guidance value for Chinese children with HB， aiming to identify the risk stratification system more suitable for Chinese HB patients. MethodsThis retrospective study analyzed the clinical data of 403 pediatric patients with HB aged ＜ 18 years who were initially diagnosed at The First Affiliated Hospital of Sun Yat-sen University between February 2010 and September 2023. The prognostic predictive efficacy and chemotherapy-guided value of the CHIC and CCCG risk stratification systems was compared. Statistical analysis was performed using SPSS 27.0. Results①Using the new CCCG risk stratification， the 5-year event-free survival （EFS） rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 82.5% and 67.7% （P=0.002）， respectively， and the 5-year overall survival （OS） rates were 91.5% and 85.1% （P=0.038）. Using CHIC risk stratification， the corresponding 5-year EFS rates for children who received versus did not receive risk-stratified chemotherapy according to the CCCG-HB-2016 protocol were 80.3% and 68.5% （P=0.030）， and the 5-year OS rates were 90.9% and 85.8% （P=0.151）. ②Among children treated with the CCCG-HB-2016 protocol stratified by the new CCCG system， the 5-year EFS rates for the very low-risk （6 cases）， low-risk （20 cases）， intermediate-risk （61 cases）， and high-risk （69 cases） groups were 100%， 94.1%， 94.7%， and 66.2% （P＜0.001）， respectively， and the 5-year OS rates were 100%， 100%， 96.5%， and 82.0% （P=0.017）. Among children treated with the CCCG-HB-2016 protocol stratified by the CHIC system， the 5-year EFS rates for the very low-risk （32 cases）， low-risk （22 cases）， intermediate-risk （37 cases）， and high-risk （54 cases） groups were 93.8%， 95.2%， 76.1%， and 66.8% （P=0.003）， respectively， and the 5-year OS rates were 93.1%， 100%， 89.5%， and 85.6% （P=0.190）. ③For patients receiving CCCG-HB-2016 risk-stratified chemotherapy， the P-values for EFS comparisons between the CHIC and new CCCG systems within the very low-risk， low-risk， intermediate-risk， and high-risk groups were 0.537， 0.879， 0.023， and 0.934， respectively. Among patients who received stratified chemotherapy according to the CCCG-HB-2016 regimen， the intermediate-risk group in the new CCCG risk stratification system exhibited a significant advantage in 5-year event-free survival （EFS） compared with the intermediate-risk group in the CHIC risk stratification system （94.7% vs. 76.1%）. ConclusionCompared to the CHIC risk stratification， the new CCCG stratification may offer better prognostic prediction and guidance value for chemotherapy in Chinese HB patients， with the intermediate-risk group showing superior outcomes.

Based on the viewpoint of "sweat pore-qi and liquid-kidney collaterals"， it is believed that children's nephrotic syndrome is caused by the core mechanism of sweat pore constraint and closure， qi and liquid imbalance， and kidney collaterals impairment， and it is proposed that the treatment principle is to nourish the sweat pore， regulate qi and fluid， and supplement the kidney and unblock the collaterals. In clinic， guided by sequential therapy and according to the different disease mechanism characteristics of the four stages， including early stage of the disease， hormone induction stage， hormone reduction stage， hormone maintenance stage， the staged dynamic identification and treatment was applied. For early stage of the disease with edema due to yang deficiency， modified Zhenwu Decoction （真武汤） was applied to warm yang and drain water； for hormone induction stage with yin deficiency resulting in effulgent fire， modified Zhibai Dihuang Pill （知柏地黄丸） plus Erzhi Pill （二至丸） was used to enrich yin and reduce fire； for hormone reduction stage with qi and yin deficiency， modified Shenqi Dihuang Decoction （参芪地黄汤） was used to boost qi and nourish yin； for hormone maintenance stage， modified Shenqi Pill （肾气丸） was used to supplement yin and yang. Meanwhile， the treatment also attaches importance to the combination of vine-based or worm medicinals to dredge collaterals， so as to providing ideas for clinical treatment.

Recruitment is a critical part of human resource management.Conducting recruitment with competency models can significantly enhance match candidates to positions.This paper outlines the theoretical support for competency models.By analyzing the construction process of competency models in public hospitals and their application in recruitment,it aims to explore problems in the implementation of competency models in recruitment and provide suggestions.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective:To analyze the efficacy and safety of standard chemotherapy and immune checkpoint inhibitors (CI) combined with radiotherapy (RT) in driver-gene negative (wild-type) oligometastatic non-small cell lung cancer (NSCLC) patients with central nervous system involvement.Methods:In this multicenter retrospective cohort study, oligometastatic NSCLC patients receiving first-line chemo-immunotherapy-based therapy were analyzed. Between January 2017 and January 2023, a total of 98 eligible patients were enrolled from the National Cancer Center/Cancer Hospital (Beijing/Shenzhen) and Shanxi Province Cancer Hospital. All participants were divided into chemo-immunotherapy (CI) group (28.6%, n=28) and chemo-immuno-radiotherapy (CIR) group (71.4%, n=70) according to whether receiving radiotherapy. Baseline characteristics were well-balanced between two groups, with no statistically significant differences (all P>0.05). The primary endpoint of the study was overall survival (OS), while progression-free survival (PFS) was designated as a key secondary endpoint. Qualitative data were compared by Chi-square test. Survival analysis was conducted using Kaplan-Meier method, and prognostic analysis was performed by multivariate Cox regression models. Results:The median PFS in the CIR and CI groups was 21.8 and 11.5 months, respectively, and the difference was not statistically significant ( P=0.211). The median OS in the CIR group was significantly better ( P=0.036) than 25.3 months in the CI group. The median OS in the CIR group was not reached. The 2-year local regional control rates for the whole brain radiotherapy patients, stereotactic radiotherapy / stereotactic radiosurgery patients and CI groups were 33.3% ,100% and 83.4%, respectively. Multivariate analysis showed that brain radiotherapy was an independent protective factor for OS in patients with oligometastatic brain metastases at baseline ( HR=0.47, 95% CI=0.22-0.99, P=0.047). Subgroup analysis revealed that patients with 1-3 metastatic lesions benefited from radiotherapy (PFS: HR=0.47, 95% CI=0.22-1.03, P=0.060; OS: HR=0.34, 95% CI=0.12-0.98, P=0.046). Conclusions:For central nervous system involved oligometastatic NSCLC patients, the integration of chemo-immunotherapy with radiotherapy is well tolerated and can improve the efficacy, particularly among those with a limited number of metastatic lesions.

Recruitment is a critical part of human resource management.Conducting recruitment with competency models can significantly enhance match candidates to positions.This paper outlines the theoretical support for competency models.By analyzing the construction process of competency models in public hospitals and their application in recruitment,it aims to explore problems in the implementation of competency models in recruitment and provide suggestions.

Objective To predict the lymphovascular invasion(LVI)status of breast cancer patients based on digital breast tomo-synthesis(DBT)intratumoral and peritumoral radiomics nomogram.Methods A total of 192 breast cancer patients from 2 institu-tions were retrospectively selected,in which institution 1 was used for train(n=113)and test(n=49),while institution 2 was used for external validation(n=30).Radiomics features were extracted and selected based on intratumoral and peritumoral 1 mm regions from DBT images.Different machine learning algorithms were used to construct intratumoral,peritumoral,and combined intratumoral and peritumoral models,respectively.Patient clinical data were analyzed by both univariate and multivariate logistic regression analy-ses to identify independent risk factors for the clinical imaging model.The performance of the models was evaluated using the receiver operating characteristic(ROC)curve.The radiomics features with the optimal diagnostic performance and the selected clinical imaging features were combined to construct a comprehensive clinical-radiomics model,and a nomogram was drawn.Results The combined intratumoral and peritumoral model was the optimal radiomics model.Maximum tumor diameter[odds ratio(OR)=1.486,P=0.014],suspicious malignant calcifications(OR=2.898,P=0.015),and axillary lymph node(ALN)metastasis(OR=3.615,P<0.001)were independent risk factors for LVI positive.Furthermore,the area under the curve(AUC)of the comprehensive clinical-radiomics model in the training set,test set and external valida-tion set was 0.889,0.916,and 0.862,respectively,which was higher than those of the combined intratumoral and peritumoral model(0.858,0.849,0.844)and the clinical imaging model(0.743,0.759,0.732).Conclusion The predictive nomogram,derived from both radiomics and clinical imaging features,is relatively accurate in identifying future LVI occurrence in breast cancer,demonstra-ting its potential as an assistive tool for clinicians to devise individualized treatment regimes.

Objective:To analyze the efficacy and safety of standard chemotherapy and immune checkpoint inhibitors (CI) combined with radiotherapy (RT) in driver-gene negative (wild-type) oligometastatic non-small cell lung cancer (NSCLC) patients with central nervous system involvement.Methods:In this multicenter retrospective cohort study, oligometastatic NSCLC patients receiving first-line chemo-immunotherapy-based therapy were analyzed. Between January 2017 and January 2023, a total of 98 eligible patients were enrolled from the National Cancer Center/Cancer Hospital (Beijing/Shenzhen) and Shanxi Province Cancer Hospital. All participants were divided into chemo-immunotherapy (CI) group (28.6%, n=28) and chemo-immuno-radiotherapy (CIR) group (71.4%, n=70) according to whether receiving radiotherapy. Baseline characteristics were well-balanced between two groups, with no statistically significant differences (all P>0.05). The primary endpoint of the study was overall survival (OS), while progression-free survival (PFS) was designated as a key secondary endpoint. Qualitative data were compared by Chi-square test. Survival analysis was conducted using Kaplan-Meier method, and prognostic analysis was performed by multivariate Cox regression models. Results:The median PFS in the CIR and CI groups was 21.8 and 11.5 months, respectively, and the difference was not statistically significant ( P=0.211). The median OS in the CIR group was significantly better ( P=0.036) than 25.3 months in the CI group. The median OS in the CIR group was not reached. The 2-year local regional control rates for the whole brain radiotherapy patients, stereotactic radiotherapy / stereotactic radiosurgery patients and CI groups were 33.3% ,100% and 83.4%, respectively. Multivariate analysis showed that brain radiotherapy was an independent protective factor for OS in patients with oligometastatic brain metastases at baseline ( HR=0.47, 95% CI=0.22-0.99, P=0.047). Subgroup analysis revealed that patients with 1-3 metastatic lesions benefited from radiotherapy (PFS: HR=0.47, 95% CI=0.22-1.03, P=0.060; OS: HR=0.34, 95% CI=0.12-0.98, P=0.046). Conclusions:For central nervous system involved oligometastatic NSCLC patients, the integration of chemo-immunotherapy with radiotherapy is well tolerated and can improve the efficacy, particularly among those with a limited number of metastatic lesions.