Objective: To revise and validate the reliability and validity of Chinese version of the Benevolent Childhood Experiences (BCEs) Scale among college students, so as to provide a scientific and reliable assessment tool for related research. Methods: From April to June 2025, a stratified cluster random sampling method was used to select 1 677 freshmen from a university in Xuzhou City as participants. The survey was conducted by using the revised Benevolent Childhood Experiences (BCEs) Scale, Childhood Trauma Questionnaire (CTQ) and Brief Suicidal Behavior Scale. Reliability analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman correlation analysis, and hierarchical linear regression analysis were employed to evaluate the scale s reliability, validity, and relationships among variables. Results: The mean scores of the 10 items on the BCEs Scale ranged from 3.97 to 4.46, with standard deviations ranging from 0.88 to 1.07. The Cronbach α coefficient was 0.96. Exploratory factor analysis extracted a single factor, explaining 71.21% of the total variance. Confirmatory factor analysis indicated good model fit ( χ 2/df =4.81, goodness of fit index=0.99, comparative fit index=0.99, normed fit index=0.99, root mean square error of approximation=0.05, standardized root mean square residual=0.01). BCEs total scores were negatively correlated with CTQ total scores and all its dimensions among college students ( r =-0.53 to -0.13, all P < 0.01). Hierarchical regression analysis showed that BCEs moderated the effect of CTQ on suicidal behavior, with a statistically significant interaction ( β=-0.11, t=-4.01, P <0.01). Conclusion The Chinese revised version of the BCEs Scale demonstrates good reliability and validity, and it is suitable for assessing BCEs among Chinese college students.

Objective To analyze the characteristics of viral hepatitis mortality and life loss among residents in Pudong New Area from 2003 to 2023, and to provide a basis for related prevention and control work. Methods Viral hepatitis mortality data were obtained from the Pudong New Area mortality monitoring system. The crude mortality rate (CMR), standardized mortality rate (SMR), potential years of life lost (PYLL), average years of life lost (AYLL), and standardized potential years of life lost (SPYLL) were calculated to analyze viral hepatitis deaths. The average annual change (AAPC) and annual percentage change (APC) of the mortality rate were calculated by Joinpoint regression analysis to analyze the trend of mortality. Results The CMR and SMR of viral hepatitis among residents in Pudong New Area from 2003 to 2023 were 3.89/100000 and 1.98/100000, respectively. Both CMR and SMR of viral hepatitis showed a decreasing trend over time (CMR:APC=-5.476, t=-13.581, P<0.001; SMR:APC=- 7.624, t= -21.253, P<0.001). The CMR for males was 4.75/100000 and the SMR for males was 2.65/100000; the CMR for females was 3.04/100000 and the SMR for females was 1.32/100000, with a higher mortality rate for males than for females（Z_CME=12.094，P<0.001; Z_SMR=-14.718，P<0.001). Deaths were concentrated in the age groups of 45-64 years old and 65 years old and above, accounting for 91.62% of the total deaths. The PYLL of deaths due to viral hepatitis among residents in Pudong New Area from 2003 to 2023 was 26912 person-years, with a PYLLR of 0.45% and an AYLL of 8.88 years per person. Conclusion The mortality rate of viral hepatitis among the residents of Pudong New Area in 2003-2023 shows a decreasing trend over time. The mortality rate of males is higher than that of females, and the deaths of middle-aged and elderly people account for a large proportion of the total deaths. Chronic hepatitis B is the main cause of death.

Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was constructed based on Chinese Materia Medica, including 567 commonly used CMMs characterized by four properties, five flavors, and meridian tropism. Then, 49 CMMs derived from 10 prescriptions for Zangdu (脏毒, pathogenic toxins) recorded in Waike Zhengzong (《外科正宗》, Orthodox Manual of External Medicine) and Yangke Xinde Ji (《疡科心得集》, Collected Insights on Ulcer Medicine) were selected as the experimental dataset. Five semantic representation methods—One-Hot, Word2Vec, Bidirectional Encoder Representations from Transformers (BERT), Beijing Academy of Artificial Intelligence General Embedding (BGE), and Qwen—were applied to encode CMM property information into vector representations. Subsequently, t-distributed Stochastic Neighbor Embedding (t-SNE) was used for nonlinear dimensionality reduction on high-dimensional semantic vectors, followed by k-means clustering (k = 7). Clustering performance was evaluated using the Silhouette Score (SS), Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). Results: The Qwen-based clustering method, CMM-EmbedCluster, achieved the highest SS (0.607 4) and CHI (158.057 2), as well as the lowest DBI (0.499 5), indicating improved cluster separation and compactness compared with other methods. Visualization of CMM clustering results showed that the clusters were well separated in the low-dimensional space, with strong inter-cluster discrimination and high intra-cluster functional consistency. Further interpretability analysis of CMM clustering results revealed stable structural differences among clusters in terms of four properties, five flavors, and meridian tropism, forming functional partitions consistent with CMM property theory. Conclusion CMM-EmbedCluster utilizes an LLM to achieve semantic-level representation and clustering of CMMs within the framework of CMM property theory, providing support for exploring potential compatibility patterns among CMMs from the perspective of CMM property semantics.

Background The crude mortality rate of sudden death has shown a steady upward trend. Pudong New Area, Shanghai, is a highly urbanized and densely populated district that is substantially affected by the urban heat island effect and has experienced frequent extreme temperature events in recent years. However, evidence on the association between ambient temperatures and sudden death among local residents remains limited. Objective To examine the association between daily mean temperature and sudden death in Pudong New Area, and to provide evidence for reducing temperature-related risks of sudden death. Methods Data on sudden death, meteorological factors (daily average temperature, daily average relative humidity, and daily average air pressure), and air pollutants [inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), and nitrogen dioxide (NO₂)] in Pudong New Area from 2016 to 2021 were collected. A distributed lag non-linear model was used to examine the associations of daily mean temperature with total sudden death and sudden death due to cardiovascular and cerebrovascular diseases, including lagged and cumulative effects (lag0, 0-3, 0-7, 0-14, and 0-21 d). Stratified analyses were performed by sex, age, and education level to identify vulnerable populations. The temperature attributable burden of sudden death was assessed by calculating attributable number (AN) and attribute fraction (AF). Results A total of 19458 sudden deaths were reported in Pudong New Area from 2016 to 2021, of which 11082 (56.95%) were due to cardiovascular and cerebrovascular diseases. Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures were associated with increased risks of sudden death. The cumulative risks associated with low temperature peaked at lag 0-21 d for both total sudden death and sudden death due to cardiovascular and cerebrovascular diseases. In contrast, the cumulative risks associated with high temperature peaked at lag 0-7 d for total sudden death and at lag 0-3 d for sudden death due to cardiovascular and cerebrovascular diseases. Stratified analyses showed that females, individuals aged ≥65 years, and those with primary school education or below were more sensitive to low temperature; whereas females, individuals aged <65 years, and those with secondary school education or above were more sensitive to high temperature. Using 21.5 ℃ as the minimum mortality temperature, the AN of total sudden deaths attributable to non-optimal temperature was 3791 (95%CI: 1853, 5587), with an AF of 20.41% (95%CI: 9.47%, 28.94%); the AN attributable to low temperature was 3358 (95%CI: 1087, 5062), with an AF of 17.26% (95%CI: 5.89%, 26.01%), whereas the AN attributable to high temperature was 225 (95%CI: −274, 655), with an AF of 2.03% (95%CI: −2.53%, 5.78%). For sudden deaths due to cardiovascular and cerebrovascular diseases, the AN attributable to non-optimal temperature was 2721 (95%CI: 1747, 5575), with an AF of 24.55% (95%CI: 9.59%, 28.65%); the AN attributable to low temperature was 2496 (95%CI: 988, 3562), with an AF of 22.53% (95%CI: 8.97%, 32.41%), whereas the AN attributable to high temperature was 614 (95%CI: −15, 1176), with an AF of 3.15% (95%CI: −0.08%, 6.02%). Conclusions Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures are associated with increased risks of sudden death in Pudong New Area, Shanghai. High temperature shows a relative short-term effect, whereas low temperature shows a stronger cumulative effect. Females, people ≥65 years, and individuals with primary school educational attainment or below are more vulnerable to low temperature, while females, people <65 years, and those with secondary school educational attainment or above are more vulnerable to high temperature. The attributable burden of low temperature is greater than that of high temperature. Targeted health protection measures should be strengthened for vulnerable populations during extreme temperature events.

ObjectiveTo observe the clinical effectiveness of horticultural therapy involving the planting of Chinese medicinal herbs （mint and lily potted plants） combined with intradermal needling therapy for generalized anxiety disorder （GAD） of liver depression transforming into fire syndrome under transcranial magnetic stimulation and basic psychological therapy， and to explore the possible mechanisms of action. MethodsA total of 180 patients with GAD of liver depression transforming into fire syndrome were randomly divided into three groups， horticultural therapy group， intradermal needling group， and horticultural therapy+intradermal needling group， with 60 patients in each. All groups received basic treatment including basic psychological therapy and transcranial magnetic stimulation. The horticultural therapy group received horticultural therapy in addition to the basic treatment； the intradermal needling group received intradermal needling therapy once a week for 8 weeks in addition to the basic treatment； the horticultural therapy+intradermal needling group received both horticultural therapy and intradermal needling therapy， following the same procedures and duration. Hamilton Anxiety Rating Scale （HAMA）， Self-Rating Anxiety Scale （SAS）， and Pittsburgh Sleep Quality Index （PSQI） scores were assessed at baseline and after 2， 4， 6， and 8 weeks of treatment. Serum levels of adrenocorticotropic hormone （ACTH） and corticosterone （CORT） were measured before treatment and after 8 weeks of treatment. Motor-evoked potential （MEP） baseline levels were recorded before treatment， and MEP amplitude ratios were compared after 1 week and 8 weeks of treatment. Clinical effectiveness and safety were evaluated after 8 weeks of treatment. Pearson correlation analysis was used to examine the relationships between serum ACTH and CORT levels， MEP amplitude， and anxiety. ResultsIn the horticultural therapy group and intradermal needling group， HAMA， SAS and PSQI scores after 4， 6， and 8 weeks treatment were lower than baseline scores （P＜0.05）. In the horticultural therapy+intradermal needling group， these scores showed a significant decline starting after 2 weeks treatment and continuing through 8 weeks after treatment （P＜0.05）. The HAMA， SAS， and PSQI scores in the horticultural therapy+intradermal needling group were significantly lower than those in the other two groups after 2， 4， 6， and 8 weeks treatment （P＜0.05）. After 8 weeks of treatment， serum CORT and ACTH levels in the horticultural therapy+intradermal needling group were significantly lower than baseline levels （P＜0.05） and were also lower than those in the horticultural therapy group and intradermal needling group at the same time point （P＜0.01）. When comparing the level after 8 weeks treatment to that after 1 week treatment， under PAS10 stimulation， the MEP amplitude ratio in the intradermal needling group decreased at 30 minutes， while in the horticultural therapy+intradermal needling group， the MEP amplitude ratio decreased at all time points （P＜0.05 or P＜0.001）； under PAS25 stimulation， the MEP amplitude ratio in the horticultural therapy group increased at 20 minutes， and in the intradermal needle group at 10 minutes （P＜0.05）. In the horticultural therapy+intradermal needling group， the MEP amplitude ratio increased significantly at all time points after treatment （P＜0.001）. The cure rate in the horticultural therapy+intradermal needling group （74.14%， 43/58） was significantly higher than that in the horticultural therapy group （30.00%， 18/60） and the intradermal needling group （48.28%， 28/58， P＜0.05）. Correlation analysis revealed that serum ACTH and CORT levels were positively correlated with HAMA scores （r = 0.488， P＜0.01； r = 0.428， P＜0.01）. Following PAS10 intervention， the MEP amplitude ratio was positively correlated with HAMA scores （r = 0.458， P＜0.01）， whereas after PAS25 intervention， the MEP amplitude ratio was negatively correlated with HAMA scores （r = -0.562， P＜0.01）. ConclusionHorticultural therapy combined with intradermal needling treatment， under transcranial magnetic stimulation and basic psychological therapy， demonstrates significant clinical effectiveness in patients with GAD of liver depression transforming into fire syndrome. Its mechanism of action may be related to the regulation of hyperactivation of the hypothalamic-pituitary-adrenal （HPA） axis and the reduction of cortical excitability.

Objective: To examine the reciprocal relationships of anxiety and depressive symptoms,uncertainty stress with academic buoyancy among college students, providing evidence for mental health promotion and academic resilience enhancement. Methods: A multi stage cluster random sampling method was used to selected 741 undergraduates from grade 1 to 2 of a university in Xuzhou, Jiangsu Province. Participants completed two waves of surveys (T1: October 2022; T2: October 2023) using the Uncertainty Stress Scale, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Academic Buoyancy Scale. Cross lagged models analyzed bidirectional relationships between three mental health variables and academic buoyancy, followed by latent variable modeling integrating all mental health dimensions. Results: Cross lagged model results revealed that T1 uncertainty stress negatively predicted T2 academic buoyancy ( β =-0.14), while T1 academic buoyancy negatively predicted T2 uncertainty stress ( β =-0.11); T1 depressive symptom negatively predicted T2 academic buoyancy ( β =-0.08), while T1 academic buoyancy negatively predicted T2 depressive symptom ( β =-0.09); furthermore, T1 academic buoyancy negatively predicted T2 anxiety symptom( β =-0.10) ( P <0.05). Results from the latent variable cross lagged model of psychological problems (constructed from the three mental health variables) indicated that T1 psychological problems negatively predicted T2 academic buoyancy ( β =-0.09), while T1 academic buoyancy negatively predicted T2 psychological problems ( β =-0.09) ( P <0.05). Conclusions Longitudinal bidirectional relationships exist between mental health status and academic buoyancy in college students. Better mental health facilitates higher academic buoyancy.

[Purpose]To analyze the trends in pancreatic cancer mortality and disease burden among residents in Shanghai Pudong New Area from 2002 to 2022,and to investigate the effects of age,period,and birth cohort on mortality risk.[Methods]Data on pancreatic cancer deaths among residents of Pudong New Area from 2002 to 2022 were collected through the Shanghai Population Cause of Death Registration System.The crude mortality rate,age-standardized mortality rate by Chinese standard population(ASMRC),potential years of life lost(PYLL),potential years of life lost rate(PYLLR),and average years of life lost(AYLL)were calculated.Joinpoint regression was applied to calculate the average annual percentage change(AAPC)for analyzing the changing trend of the mortality rate of pancreatic cancer.The age-period-cohort model was applied with R 4.4.1 to analyze the age,period,and cohort effects on the mortality risk of pancreatic cancer.[Results]The crude mortality rate of pancreatic cancer among residents in Pudong New Area increased from 10.42/105 in 2002 to 18.73/105 in 2022,showing a significant upward trend(AAPC=2.90％,P＜0.001);the ASMRC was generally stable(AAPC=-0.05％,P=0.775).The crude mortality rate of males(17.09/105)was higher than that of females(13.75/105),and both showed an upward trend(AAPC=3.05％and 2.75％respectively,both P＜0.001).After the age of 40,the mortality rate of pancreatic cancer increased significantly with the growth of age in both sexes.The PYLL was 31 347 person-years,showing an upward trend(AAPC=1.83％,P＜0.001),and the AYLL was 3.59 years,showing a downward trend(AAPC=-2.45％,P＜0.001).The age effect showed that the mortality risk of pan-creatic cancer was increased with age;the period effect showed that the mortality risk decreased from 2002 to 2016 and then increased;the cohort effect showed that the mortality risk increased with the advancement of the birth cohort.[Conclusion]From 2002 to 2022,the crude mortality rate of pancreatic cancer in Pudong New Area showed an upward trend,and the mortality rate of males was higher than that of females.The mortality risk of pancreatic cancer increases with age,and the later the birth year of the residents,the higher the mortality risk.Early screening should be strengthened for men and the elderly,environmental and lifestyle risk factors should be paid attention to in combination with the characteristics of cohort effect,and the prevention and control strategy for the whole population should be optimized.

Objective To evaluate the advantages of a real-time computer endoscopy-assisted system(EndoAngel)for colorectal lesions detection in colonoscopy.Methods 2 000 patients who underwent EndoAngel assisted colonoscopy and conventional colonoscopy were selected for the study in a single-center,self-controlled study.According to different examination methods,the patients were divided into artificial intelligence(AI)group and traditional colonoscopy group,each with 1 000 cases.The results were statistically analyzed and compared with the polyp detection rate and adenoma detection rate of the two groups using pathological diagnosis as the gold standard.Further subgroup analysis will be conducted based on the seniority of the operating physicians.Results AI group's polyp detection rate was higher(39.3％)than conventional colonoscopy group polyp detection rate(29.0％),with statistically significant difference(x2=23.59,P=0.000).Of these,the detection rates of hyperplastic polyps and adenomatous polyps were 19.1％and 25.2％,which were significantly higher than those of 12.4％and 20.8％in the conventional colonoscopy group,and the differences were statistically significant(x2=16.92,P=0.000;x2=5.46,P=0.019).Further subgroup analysis of the two groups by physician seniority,the polyp detection rate of AI low seniority group(36.6％)was higher than that of conventional colonoscopy low seniority group(20.40％),with a statistically significant difference(x2=32.20,P=0.000).Among them,the detection rates of hyperplastic polyp(17.8％)and adenomatous polyp(23.6％)in AI low seniority group were higher than those in the conventional colonoscopy low seniority group(12.8％vs 13.6％),and the differences were significant(x2=4.82,P=0.028;x2=16.51,P=0.000).There were no significant differences in adenomatous polyp detection rates between the two groups of senior physicians.Conclusion EndoAngel assisted system can improve the polyp detection rate of colonoscopy,especially for the effect of low seniority physicians is more significant.

Objective:To investigate the reliability and accuracy of a semi-quantitative evaluation method for assessing the severity of pharyngeal delay by fiberoptic laryngoscopy.Method:Fifty-seven fiberoptic endoscopic evaluation of swallowing(FEES)videos and the corresponding 57 video fluoroscopic swallowing study(VFSS)videos were reviewed and analyzed independently by two investi-gators.The semiquantitative evaluation method of pharyngeal delay in the expert consensus on assessment and treatment of swallowing disorders in China(2017 version)was used to rate fiberoptic endoscopic evaluation of swallowing videos.The pharyngeal delay time(PDT)was calculated by the corresponding video fluoroscop-ic swallowing study videos.The intraclass correlation coefficient(ICC)was used as an indicator to verify the consistency of the retention position of the bolus on set of swallowing in VFSS and FEES.The Kruskal-Wal-lis H test was used to compare the difference in PDT between the different classes.Spearman's rank correla-tion analysis was used to test the correlation between the retention position of bolus on set of swallowing and aspiration under VFSS and FEES.The correlation was statistically significant at P<0.05.Result:The consistency index ICC for determining retention position of bolus on set of swallowing in VFSS and FEES was 0.707(P<0.001)indicating moderate agreement.Therefore,the PDT measured by VFSS corre-sponding to different grades of pharyngeal delay in FEES could be compared between groups.The results showed that:between normal and mild groups(P=0.003),between normal and moderate groups(P<0.0001),and between the normal and severe groups(P<0.0001).However,there were no significant differences be-tween the mild and moderate groups(P=1.000),the mild and severe groups(P=0.141),and the moderate and severe groups(P=1.000).The correlation between retention position of bolus on set of swallowing and as-piration was not significant(P=0.642 under VFSS and P=0.920 under FEES).Conclusion:The semi-quantitative evaluation scale of pharyngeal delay under FEES has limited ability to re-flect the severity of swallowing delay,and the degree of differentiation between grades is low,only distin-guishing the normal group from the abnormal group.Thus,it is recommended that this evaluation scale be ad-justed to three levels:normal level:the head of the bolus reaches the root of the tongue and swallowing is initiated;abnormal level:the bolus reaches a site below the tongue base and lingers for a certain period of time before swallowing is initiated.No swallowing level:the bolus lingered anywhere below the tongue base and no swallowing initiation was observed.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.