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.

Objective: To explore the regulatory role of paternal involvement in parenting in the association between parental adverse childhood experiences (ACEs) and autism like behavioral problems in children aged 3-6, so as to provide a basis for intervention strategies targeting the intergenerational health effects of ACEs. Methods: A longitudinal study design was used to select 1 780 children aged 3-6 from 12 kindergartens in Wuhu City, Anhui Province in June 2021 as the subjects of the baseline survey by convenient sampling, and the follow up surveys were conducted once every six months, for a total of two follow ups. Pearson correlation analysis was used to examine the association of parental ACEs and paternal involvement in parenting with autism like behavioral problems in children. A binary Logistic regression model was used to explore the association between parental ACEs and autism like behavioral problems in children. Based on stratification, the potential role of paternal involvement in the association between parental ACEs and autism like behavioral problems in children aged 3-6 was explored. Results: Autism like behavioral problem score in children aged 3-6 was positively correlated with the total score ACEs of parents as well as scores of emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, community violence, peer bullying, and family dysfunction( r =0.18,0.16,0.18,0.14,0.06,0.05,0.12,0.18,0.09,all P <0.05). Autism like behavioral problem score in children was negatively correlated with score of paternal involvement in parenting( r =-0.16, P <0.01). After adjusting for covariates such as gender, age, and birth weight of children, binary Logistic regression analysis showed that children whose parents had experiences of childhood emotional abuse, physical abuse, sexual abuse, community violence, peer bullying, or family dysfunction had higher risks of developing autism like behavioral problems than those in the non exposed group ( OR =3.29, 3.28, 6.71, 2.34, 4.08, 2.02, all P <0.01). In the group with low paternal involvement in parenting, all dimensions of parental ACEs(emotional abuse, physical abuse, sexual abuse, community violence, peer bullying, and family dysfunction) were significantly associated with an increased risk of autism like behavioral problems in children ( OR =1.84-8.34, all P <0.05). In contrast, in the group with high paternal involvement in parenting, no statistically significant associations were found between any dimension of parental ACEs and children s autism like behavioral problems ( OR =0.57-1.82, all P >0.05). Conclusion A high level of paternal involvement in parenting can reduce the adverse effects of parental ACEs on the occurrence of autism like behaviors in preschool children.

Objective To understand the epidemic characteristics and genotype distribution of acute hepatitis B in Tianjin, and to find out the relationship between genotype and epidemic characteristics. Methods The information of acute hepatitis B cases with a local address in Tianjin was collected through the National Infectious Disease Surveillance System in Tianjin from 2018 to 2022. The patient outcomes were followed up through hospital system records and telephone survey, and hepatitis B virus (HBV) genotypes were detected by fluorescent PCR. Results From 2018 to 2022, there were 387 cases of acute hepatitis B with local address reported in Tianjin, with an average annual reported incidence rate of 0.52/100 000, showing a downward trend in general (χ²=28.553，P<0.001). The reported male to female incidence ratio was 1.68. The age distribution was mainly concentrated in the 30-65 age group, with the highest incidence rate (1.22/100 000) reported in the 35-39 age group. 72.87% of cases showed negative HBsAg after 6 months of follow-up following diagnosis. The proportion of cadres and staff who turned negative (92.16%) was significantly higher than that of those who did not turn negative (0%). The median ALT (1508.00 U/L) in the turning negative group was significantly higher than that in the non-turning negative group (976.00 U/L). Among 315 cases with successful genotyping, genotype C accounted for 81.27%, and genotype B accounted for 14.92%, with 47 cases. The median ALT of genotype B patients with acute hepatitis B (1585.00 U/L) was significantly higher than that of genotype C patients (988.00 U/L). Conclusion The reported incidence rate of acute hepatitis B in Tianjin is relatively low, and shows a downward trend. Young and middle-aged men are prone to infect HBV. Genotype C is the main genotype, and genotype B HBV causes more serious liver damage in patients with acute hepatitis B.

Objective To analyze the virus subtypes, molecular evolutional and molecular transmission network features of the first confirmed mpox case in Huai’an City, Jiangsu Province, so as to provide insights into understanding of the transmission and evolution dynamics of mpox virus and formulation of the mpox control strategy in the city. Methods Genomic DNA was extracted from swabs of the first confirmed mpox case’s skin lesions in Huai’an City, and the amplicon sequencing library was constructed using the hypersensitive mpox virus whole-genome capture kit. High-throughput sequencing was performed using the GridION X5 nanopore sequencer on the Nanopore sequencing platform, and single nucleotide polymorphism (SNP) analysis of mpox virus genome sequences was performed following sequence assembly. In addition, phylogenetic analysis, genetic genealogy and molecular traceability analysis were performed. Results The virus whole genome sequence of the first confirmed mpox case was successfully obtained by high-throughput sequencing, with a full length of 197 182 bp, and was named hMpxV/China/JS-HA01/2023, which belonged to the clade IIb (West African clade) lineage B.1.3. Compared with the mpox virus reference sequence MPXV-M5312_HM12_Rivers-001 (GenBank accession number: NC_063383), the genome sequence of the Huai’an virus isolate carried 86 SNPs, including 40 SNPs in the coding region as non-synonymous mutations and 73 SNPs as nucleotide mutations caused by APOBEC3 (APOBEC3). Of the 97 mpox virus gene sequences, 79 sequences were included in the molecular network (81.44%), and the threshold of the genetic distance accessed to the network was 0.35/10⁵. There were two large molecular transmission clusters and one scattered cluster in the molecular transmission network of the mpox virus, andthehMpxV/China/JS-HA01/2023 sequence was located in the large cluster. The 97 gene sequences formed 92 haplotypes, including three shared haplotypes Hap_4, Hap_6 and Hap_38, and an exclusive haplotype Hap_1 of hMpxV/China/JS-HA01/2023 generated from mutation of the exclusive haplotype Hap_43, while the exclusive haplotype Hap_43 was generated from mutation of the shared haplotype Hap_38. Conclusions The whole genome sequence of the mpox virus isolated from the first confirmed mpox case in Huai’an City has been successfully obtained, and the molecular evolutionary and molecular transmission network characteristics of the virus have been preliminarily understood.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

Objective To explore the application of cell block(CB)technology in the diagnosis of papillary thyroid carcinoma(PTC).Methods A total of 86 patients with thyroid nodules who were treated at Luoyang Central Hospital Affiliated to Zhengzhou University from February 2023 to December 2024 were retrospectively selected.Before the operation,all patients underwent ultrasound-guided fine needle aspiration biopsy.After the biopsy,the specimens were respectively subjected to cell smear(CS)and CB pathological examinations.Using postoperative pathology as the gold standard,the clinical application value of CS,CB,BRAFV600E gene detection,and combined detection in the preoperative diagnosis of PTC was evaluated.Results A total of 86 patients were included.Among them,42 cases were diagnosed as PTC by postoperative pathology,and 44 cases were benign lesions.The sensitivity(73.81％),specificity(97.73％),positive predictive value(96.88％),negative predictive value(79.63％),and accuracy(86.05％)of CB in the preoperative diagnosis of PTC were significantly higher than those of CS.The Kappa consistency test results showed that the consistency between CB pathological results and postoperative pathological results was better than that of CS.Receiver operating characteristic curve analysis indicated that the area under the curve(AUC)of CB was significantly higher than that of CS(0.858 vs.0.743,Z=2.391,P=0.017).Furthermore,the combination of CB and BRAFV600E gene detection further improved preoperative diagnostic performance,with a consistency with postoperative pathological results(Kappa=0.837)superior to other examination methods,and an AUC(0.918)significantly higher than other examination methods.Conclusion CB has significant clinical application value in the preoperative diagnosis of PTC,with diagnostic performance significantly superior to CS.Further combination with BRAFV600E gene detection can significantly improve preoperative diagnostic accuracy.

Objective:To investigate the current status of fear of falling in postoperative cardiac surgery patients, and to analyze its influencing factors and interrelationships.Methods:A convenience sample of 246 postoperative cardiac surgery patients hospitalized in the Department of Cardiac Surgery, the First Affiliated Hospital of Xiamen University, from December 2023 to December 2024 was surveyed. The Body Image Scale, the Personal Mastery Scale, the Fear of Falling Questionnaire-Revised, and a self-designed demographic and clinical questionnaire were used for data collection. Pearson correlation analysis was conducted to examine the relationships among body image, personal mastery, and fear of falling. PROCESS Model 4 was applied to test the mediating role of personal mastery between body image and fear of falling, with bootstrapping for verification.Results:A total of 246 questionnaires were distributed, and 236 valid responses were obtained (valid response rate: 95.93%) . The body image score was (14.02±6.36) , personal mastery score was (20.44±4.16) , and fear of falling score was (38.28±10.83) . Body image was positively correlated with fear of falling ( r=0.324, P<0.01) , while personal mastery was negatively correlated with fear of falling ( r=-0.552, P<0.01) . After controlling for variables with statistically significant differences in univariate analysis (including sex, age, education level, body mass index, history of syncope, pain level, and self-rated preoperative exercise capacity) , PROCESS analysis showed that body image had a direct positive effect on fear of falling ( β=0.288, P<0.05) , and also indirectly affected fear of falling through personal mastery, with the indirect effect accounting for 49.5% of the total effect (0.237/0.525) . Conclusions:Postoperative cardiac surgery patients require improvement in body image, personal mastery, and fear of falling. Understanding how body image influences fear of falling through personal mastery not only enriches theoretical frameworks but also provides guidance for psychological interventions in clinical practice, thereby meeting patients' psychological support needs during rehabilitation.

Objective The finite element pelvis model with detailed anatomical structures which meets the Chinese human 95th percentile characteristics is developed,and the influence of cortical bone modeling method on the biomechanical response of the real pelvis is explored.Methods Based on the pelvic medical images of a 95th percentile male volunteer,two finite element pelvis models with real hip bone cortical bone thickness(REA-M)and 2 mm uniform cortical bone thickness(CON-M)dominated by hexahedral elements were constructed.Using the simulation method to reconstruct the loading conditions of cadaver experiments,the validation of models was verified by comparing the cadaver experimental results and simulation results,and biomechanical response differences of two models under different working conditions were discussed.Results The simulation data showed that there was a strong correlation between the overall biomechanical responses of two pelvic models and the cadaver experiment,and the mechanical response difference between two models was mostly within 8％,and the correlation score difference between two models was smaller than 2％.Conclusions The validation of two pelvic models established in this study is verified by rebuilding multiple simulation experiments.Although the biomechanical responses of CON-M and REA-M models were different,the difference was small.From the perspective of model simplification,the CON-M model can be used to study the biomechanical response of the pelvis.

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 explore the intervention effect of health nutrition model based on digital management on patients with gestational diabetes mellitus, and to provide reference for blood sugar control and pregnancy outcome improvement of gestational diabetes mellitus.Methods:Using a randomized controlled study method, totally 80 cases of gestational diabetes mellitus admitted to Langfang People's Hospital from October 2021 to March 2023 were prospectively selected and randomly divided into control group and experimental group according to the random number table method, with 40 cases in each group. The control group was given routine management, and the experimental group was combined with the health nutrition model based on digital management on this basis. Both groups began to intervene after the diagnosis of gestational diabetes mellitus, and the intervention lasted until one week before the patient's expected delivery. Follow-up to delivery. The delivery mode, weight gain during pregnancy, insulin use during pregnancy, pregnancy outcome and neonatal outcome of the two groups were statistically analyzed. The blood glucose level of the two groups before and after intervention were compared.Results:The age of the control group was 20-31 (26.25 ± 1.98) years old, while the age of the experimental group was 20-33 (25.93 ± 2.11) years old. The cesarean section rate in the experimental group was 32.50% (13/40), which was lower than that in the control group (57.50%, 23/40) ( χ2=5.05, P<0.05). The weight gain during pregnancy in the experimental group was (6.03 ± 0.89) kg, which was lower than (7.93 ± 1.36) kg in the control group ( t=7.39, P<0.05). After intervention, the levels of serum glycosylated hemoglobin, fasting blood glucose and 2 h postprandial blood glucose in the two groups were lower than those before intervention, and those in the experimental group were (5.19 ± 0.54) %, (4.98 ± 0.49) mmol/L, (6.04 ± 1.15) mmol/L, which were lower than (5.67 ± 0.75) %, (5.37 ± 0.54) mmol/L, (7.16 ± 1.36) mmol/L in the control group ( t=3.28, 3.42, 3.96, all P<0.05). The proportion of macrosomia in the experimental group was 2.50% (1/40), which was lower than 20.00% (8/40) in the control group ( χ2=4.51, P<0.05). The experimental group had no abnormal pregnancy outcome and neonatal outcome respectively as 92.50% (37/40) and 92.50% (37/40), which were 70.00% (28/40) and 57.50% (23/40) in the control group, their difference was statistically significant ( χ2=6.65, 13.07, both P<0.05). Conclusions:The application of health nutrition model based on digital management to intervene in patients with gestational diabetes could effectively improve their blood glucose control effect, improve pregnancy outcome and neonatal outcome, and hada good intervention effect.