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.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

ObjectiveTo observe the protective effect of Erchentang （ECT） on SiO₂-induced lung injury in rats and to explore its underlying mechanism. MethodsA rat model of lung injury was established by a single intratracheal instillation of 50 mg·mL^-1 SiO₂ suspension. Thirty male Sprague-Dawley （SD） rats were randomly assigned to five groups： control， model， low and high-dose （4.5 g·kg^-1·d^-1 and 9 g·kg^-1·d^-1， respectively） ECT， and dexamethasone （0.2 mg·kg^-1·d^-1）. All the groups were treated for 4 consecutive weeks. Histopathological alterations in the lung tissue were examined by hematoxylin and eosin （HE） staining. The levels of malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione peroxidase （GSH-Px） in the lung tissue were measured through biochemical assays. The expression of key molecules in the nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） pathway was determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， Western blot， and immunofluorescence assay. The primary active components of ECT were identified by ultra-performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS）， and their binding affinity to Nrf2/HO-1 was assessed by molecular docking. Untargeted metabolomics of the lung tissue was performed based on UPLC-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and correlation analysis was performed to identify differential metabolites and parameters closely associated with the Nrf2/HO-1 pathway. ResultsCompared with the control group， the model group exhibited a reduction in body weight gain， an increase in lung index， increased MDA content， weakened SOD and GSH-Px activities in the lung tissue， down-regulated mRNA and protein levels of Nrf2 and protein levels of HO-1 and GPX4， and an up-regulated protein level of Keap1 （P<0.05， P<0.01）. Treatment with ECT attenuated the SiO₂-induced decline in body weight （P<0.05）， alleviated inflammatory cell infiltration and silicotic nodule formation in alveoli， and reduced the MDA content and enhanced the SOD and GSH-Px activities in the lung tissue （P<0.05， P<0.01）. UPLC-MS/MS and molecular docking revealed that core components of ECT， such as hesperidin and glycyrrhizic acid， displayed strong binding affinity to Nrf2/HO-1. Molecular biological experiments demonstrated that ECT promoted nuclear translocation of Nrf2， up-regulated the mRNA and protein levels of HO-1 and GPX4， and down-regulated Keap1 expression （P<0.05， P<0.01）. Metabolomic analysis indicated that ECT reversed the SiO₂-induced aberrant expression of metabolites， including linoleic acid and glutamine （P<0.05， P<0.01）. Correlation analysis showed that Nrf2 and HO-1 were positively correlated with SOD and GSH-Px （P<0.05， P<0.01）， but negatively correlated with glutamine and serine （P<0.05， P<0.01）. ConclusionECT may activate the Nrf2/HO-1 pathway through its core active components， thereby regulating oxidative stress and metabolic disorders to ameliorate SiO₂-induced lung injury in rats. This study provides experimental evidence for ECT in the prevention and treatment of occupational lung injury.

PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

ObjectiveTo explore the spatial distribution patterns of flavonoid glycosides in Epimedium sagittatum and the influences of environmental factors on the accumulation of these components. MethodsThe spatial statistical analysis and GeoDetector model were used to analyze the distribution patterns of epimedin A，epimedin B，epimedin C，icariin，and total flavonoid glycosides in E. sagittatum samples from 92 different production areas in 36 cities of 13 provinces/municipalities/autonomous regions of China，as well as the effects of 28 environmental factors on the accumulation of each component. ResultsThe average content of flavonoid glycosides 64 （69.56%） producing areas and 30 （83.33%） cities met the quality standard of no less than 1.50% of total flavonoid glycosides in the 2020 edition of Chinese Pharmacopoeia.Epimedin A，epimedin B，epimedin C，icariin，and their sum showed significantly high accumulation.The hot spots regions of epimedin A and epimedin B were similar with each other，mainly located in western Hunan，eastern Hubei，eastern Guizhou，and northern Guangxi.The common hot spot areas of epimedin C and total flavonoid glycosides were in western and southwestern Hunan，southern Henan，northern Anhui，eastern Guizhou，and southern Chongqing.The hot spots areas of icariin were in southern Chongqing，western Hunan，and eastern and northeastern Guizhou.The interactions between environmental factors had stronger explanatory power for the accumulation of components than single factors.The strongest single factor and interactive factor affecting the accumulation of epimedin C were precipitation of wettest quarter （q=0.16） and its interaction with temperature seasonality （q=0.35），respectively.The strongest single factor influencing both the accumulation of icariin and total flavonoid glycosides was the precipitation of coldest quarter （q equals 0.15 and 0.22，respectively）.The strongest interactions were observed between precipitation of coldest quarter and gravel content （q=0.34），as well as between precipitation of coldest quarter and aspect （q=0.35）. ConclusionThirteen cities，including Zhumadian and Nanyang in Henan，Huaihua，Shaoyang，and Zhangjiajie in Hunan，and Zunyi，Qiandongnan，and Tongren in Guizhou，were hot spots of total flavonoid glycosides in E.sagittatum.Precipitation，gravel content，temperature seasonality，and aspect significantly influence the accumulation of flavonoid glycosides in E.sagittatum.This study provides reference for the utilization and production zoning of E.sagittatum.

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: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

Objective:Treat-to-target strategies for psoriatic arthritis (PsA) have been proposed for several years, however, the status of target and goal achievement in China is unknown. Therefore, we aimed to investigate the target achievement of PsA patients, and differences of treatment goals were further analyzed.Methods:A total of 360 PsA patients from Peking University First Hospital PsA patient cohort (PKUPsA) between January 2016 and March 2024 were included. We retrospectively analyzed the disease activity of patients at their enrollment. Minimal disease activity (MDA), disease activity index for PsA (DAPSA), clinical DAPSA (cDAPSA) and disease activity score based on 28 joint counts (DAS28) were evaluated. Interclass correlation coefficient (ICC) was used to test the consistency of all these assessments.Results:Three hundred and sixty patients were included in this study, with 149 females (41.4%), median age 47 (36, 57) years and duration of PsA for 2.0(1.0, 6.8) years. 129 (35.8%) patients reported family history of PsO. The most common comorbidities were hyperlipidemia (101, 28.1%) and hypertension (78, 21.7%). There were 217 (60.3%), 75 (20.8%) and 18 (5.0%) patients treated with conventional synthetic DMARDs, biologics and JAK inhibitors respectively. Forty-nine (13.6%) patients ever received intra-articular injection of glucocorticoid. Based on the different definitions, the rates of target achievement were 33.9% (MDA), 56.1% (DAPSA), 60.8% (DAS28-ESR), 63.9% (DAS28-CRP) and 64.2% (cDAPSA). The main limiting factors for MDA attainment among those who had achieved DAPSA or DAS-defined targets were pain VAS, Psoriasis Area and Severity Index (PASI), tender/swollen joint count, patient global assessment, HAQ, and number of enthesitis, based on leeds Enthesitis Index(LEI). The ICCs of these evaluation methods were 0.489~0.819 ( P<0.001). The consistency was the best between DAPSA and cDAPSA, medium between DAS28-CRP and DAS28-ESR, and worst between MDA and DAS28-CRP. Moreover, DAPSA was more consistent with DAS28 than cDASPA. MDA showed moderate consistency with all other assessments. Conclusion:33.9%~64.2% of PsA patients achieved targets based on different definitions. MDA was the most stringent target, while cDAPSA was the most loose one. In general, MDA was not well consistent with other assessments.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.