Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective: To assess parental expectations for the development of children with autism spectrum disorder (ASD) and identify factors associated with these expectations, so as to provide references for improving rehabilitation outcomes and long term development in children with ASD. Methods: From June 2024 to January 2026, a total of 877 children with ASD and their parents were recruited from 27 rehabilitation institutions in Hefei. The children had been diagnosed by chief physicians at tertiary level hospitals. Demographic characteristics and data on parental expectations were collected by the Parental Expectations Questionnaire. Differences in parental expectations between groups were assessed using the Mann-Whitney U- test and Kruskal-Wallis H-test, and associated factors were examined using quantile regression. Results: The mean item score for overall parental expectations among parents of children with ASD was (4.55±0.47), and scores for all dimensions were higher than those among parents of typically developing children ( t =11.11-31.14, all P <0.01). Child age, school enrollment, and maternal personality were associated with daily living expectation scores, learning and special talents and strengths expectation scores, and special talents and strengths expectation scores, respectively ( H =6.16-8.18, all P <0.05). Parents of preterm children had higher expectations for social interaction, physical and mental well being, and daily living than parents of non-preterm children ( Z =-2.56, -2.48, -2.39, all P <0.05). Multivariate quantile regression analysis showed that children’s age was associated with the expected level of self care ability; school enrollment status was associated with the expected level of learning and specialty strengths; maternal personality was associated with the expected levels of social competence, physical and mental health, self care ability, and specialty strengths; parental age was associated with the expected levels of physical and mental health and specialty strengths; and parental educational attainment was associated with the expected level of self care ability ( β =-0.36-0.41, all P <0.05). Conclusion Parents of children with ASD in Hefei generally have high expectations for their children s development across the domains of learning, daily living, social interaction, and physical and mental well being.

Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

2- (2-thiophenyl) scopolamine glycolate is produced through an ester exchange reaction between scopine and methyl 2, 2-dithienylglycolate, and is used to synthesize tiotropium bromide. In this paper, the treatment process of 12 patients with acute 2- (2-thiophenyl) scopolamine glycolate poisoning was reviewed and their clinical data were analyzed. After a large amount of 2- (2-thiophenyl) scopolamine glycolate was absorbed through the respiratory tract, the poisoning patients presented with central nervous system injury as the main clinical manifestations, accompanied by symptoms such as blurred vision and irritability. After fluid replacement, ovulation induction and symptomatic supportive treatment, all patients improved and were discharged. The patients were followed up. After 6 months, only 3 patients had residual headache and dizziness. It is indicated that early intervention for acute 2- (2-thiophenyl) scopolamine glycolate poisoning has a good prognosis. Meanwhile, occupational protection should be strengthened to prevent the occurrence of poisoning.

Objective To compare the changes in biological indicators of human corneal epithe-lial(HCET)cells and rabbit corneas after exposure to different doses of ultraviolet B(UVB)radia-tion,so as to evaluate the impact of UVB radiation on corneal injury effects.Methods In cell exper-iment,HCET cells were divided into groups with radiation doses of 0,6,12,18,and 24 mJ/cm2.The effect of UVB radiation on HCET cell viability was detected using the CCK-8 assay,and the level of intracellular DNA damage was assessed by immunofluorescence.In the animal experiment,15 healthy New Zealand white rabbits(30 eyes)were randomly divided into groups with radiation doses of 0,1.35,2.16,4.32,and 6.48 J/cm2.The UVB exposure time for the radiation groups was 30 minutes per day for 3 consecutive days.Corneal injury was evaluated using methods such as slit-lamp microscopy,sodium fluorescein staining,central corneal thickness measurement,optical coherence tomography(OCT)imaging,and hematoxylin and eosin(HE)staining.Results Compared with the control group,cell viability in the radiation groups gradually decreased,and the level of DNA damage gradually increased with increasing radiation dose.As the radiation dose increased in the radiation groups,the degree of corneal opacity in rabbits gradually worsened,the central corneal area gradu-ally thickened,and OCT revealed high-intensity scattered light signals with the formation of shadow areas.Results from HE staining,immunohistochemistry,Western blot(WB),and sodium fluores-cein staining showed that the 1.35 J/cm2 group caused mild corneal injury,with damage reaching the corneal epithelial layer.In the 2.16 J/cm2 group,the corneal injury presented as dense punctate distribution,with damage extending from the epithelial layer to the superficial stroma.The number of ephrin type-A receptor 2(EphA2)protein-stained cells was relatively small,and the staining was light,showing a weak positive result.In the 4.32 J/cm2 and 6.48 J/cm2 groups,the corneal injury was irreversible,with damage gradually progressing from the corneal epithelial layer and superficial stroma to the endothelial layer.The number of EphA2 protein-stained cells was relatively large,and the staining was dark,showing a strong positive result.Conclusion This study comprehensively e-valuates the dose-dependent injury effects of UVB on HCET cells and New Zealand white rabbit cor-neas through cell and animal experiments.It elucidates that UVB radiation could induce corneal cell DNA damage,promote inflammatory responses,and trigger apoptosis by upregulating γ-phosphoryla-ted histone H2AX(γH2AX)and EphA2.The self-repair ability and process of corneal injury are preliminarily explored,providing a basis for further research on mechanisms of corneal injury caused by ultraviolet radiation and the development of protective drugs.

2- (2-thiophenyl) scopolamine glycolate is produced through an ester exchange reaction between scopine and methyl 2, 2-dithienylglycolate, and is used to synthesize tiotropium bromide. In this paper, the treatment process of 12 patients with acute 2- (2-thiophenyl) scopolamine glycolate poisoning was reviewed and their clinical data were analyzed. After a large amount of 2- (2-thiophenyl) scopolamine glycolate was absorbed through the respiratory tract, the poisoning patients presented with central nervous system injury as the main clinical manifestations, accompanied by symptoms such as blurred vision and irritability. After fluid replacement, ovulation induction and symptomatic supportive treatment, all patients improved and were discharged. The patients were followed up. After 6 months, only 3 patients had residual headache and dizziness. It is indicated that early intervention for acute 2- (2-thiophenyl) scopolamine glycolate poisoning has a good prognosis. Meanwhile, occupational protection should be strengthened to prevent the occurrence of poisoning.

Objective:To analyze the effects of low-molecular-weight heparin combined with insulin (LMWH+INS) and double filtration plasmapheresis (DFPP) on lipid profiles and clinical outcomes in patients with hypertriglyceridemic acute pancreatitis (HTG-AP) based on propensity score matching.Methods:The clinical data of 126 patients with HTG-AP from October 2022 to February 2024 in The Third Affiliated Hospital of Nanjing Medical University, Changzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing Traditional Chinese Medicine University and Changzhou First People's Hospital were retrospectively included. Patients were divided into LMWH+INS group ( n=87) and DFPP group ( n=39) according to the treatment. Propensity score matching was applied at a 1∶1 ratio. The repeated measures analysis of variance was conducted to assess dynamic changes of blood lipids within the 5 days of admission between the LMWH+INS and DFPP groups after matching. Clinical symptoms and outcomes were compared between the two matched groups following matching. Results:29 patients were included in both LMWH+INS group and DFPP group after propensity score matching. No statistically significant differences were observed in triglycerides (TG), acute physiology and chronic health evaluation Ⅱ(APACHEⅡ) score, or bedside index for the severity of acute pancreatitis (BISAP) between the two groups (all P value >0.05), indicating comparability. Repeated measures analysis of variance revealed that TG and TC levels in the DFPP group were significantly lower than those in the LMWH+INS group at 2-5 days after admission [TG 2 d: (5.26±2.59) mmol/L vs (10.79±3.81) mmol/L, 3 d: (3.35±1.01) mmol/L vs (7.72±3.64) mmol/L, 4 d: (3.45±0.77) mmol/L vs (6.57±3.17) mmol/L, 5 d: (3.73±1.26) mmol/L vs (5.61±3.07) mmol/L; TC 2 d: (4.83±2.29) mmol/L vs (8.2±2.82) mmol/L, 3 d: (4.23±2.17) mmol/L vs (7.71±2.68) mmol/L, 4 d: (4.28±1.59) mmol/L vs (7.55±2.41) mmol/L, 5 d: (4.1±1.21) mmol/L vs (7.84±2.6) mmol/L], with a more rapid decrease. LDL levels in the LMWH+INS and DFPP groups showed similar trends, with significant decreases at 2 day after admission [(5.41±3.24) mmol/L vs (2.96±1.47) mmol/L, (4.99±3.51) mmol/L vs (2.47±1.53) mmol/L]. The differences mentioned above are all statistically significant (all P value <0.001). No significant changes were observed in HDL levels in either LMWH+INS and DFPP groups at 2-5 days after admission. After matching, the DFPP group had a significantly longer time of resuming feeding [3(2, 3) days vs 4(3, 6) days] and higher hospital cost [12113.87 (9055.31, 14401.84) yuan vs 28025.34 (25388.11, 36335.48) yuan] compared with the LMWH+INS group, with statistically significant differences. Conclusions:DFPP could reduce TG and TC levels more rapidly and effectively than LMWH combined with INS, but does not show an advantage in improving clinical outcomes and reducing hospitalization costs.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia(ChP)2025 Edition,and explore its novel requirements in risk-based pharmaceutical product lifecycle management.Methods:A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview,international harmonization of microbiological standards,risk-based quality man-agement system,and novel tools and methods with Chinese characteristics.Results:The ChP 2025 edition demon-strates three prominent features in microbiological-related standards:enhanced international harmonization,intro-duced emerging molecular biological technologies,and established a risk-based microbiological quality control sys-tem.Conclusion:The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system,which significantly improves the scientificity,standardization and applicability of the standards,providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.