ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

Background The residues of pharmaceutical and personal care products (PPCPs) in aquatic environments have become an increasingly prominent urban pollution issue, attracting widespread attention. The analysis of PPCPs pollution in water environments holds profound implications in Zhengzhou, a strategically important city in central China. Objective To analyze the pollution characteristics of PPCPs, such as antidepressants and antibiotics, in rivers of Zhengzhou and assess associated ecological risk. Methods Water samples were collected from three rivers of Zhengzhou, and 13 PPCPs (5 antibiotics and 8 antidepressants) were analyzed quantitatively by high performance liquid chromatography-triple quadrupole mass spectrometry (HPLC-MS/MS) after automatic solid phase extraction. Risk quotient (RQ) was applied to assess ecological risk of PPCPs with high concentration. Results The primary antibiotics pollutants were norfloxacin and ofloxacin, both with a detection rate of 100%. Among antidepressants, venlafaxine and citalopram showed the highest detection rates at 92.3% and 88.5%, respectively. The detected antibiotics with the highest average concentrations included ofloxacin and sulfamethoxazole with concentrations of 99.8 ng·L⁻¹and 96.2 ng·L⁻¹, respectively, while antidepressants venlafaxine and citalopram were detected with the highest average concentrations of 15.2 ng·L⁻¹and 1.35 ng·L⁻¹, respectively. The inter-river comparisons revealed statistically significant differences in contaminant loads (P<0.05). The sums of average PPCP concentrations at sampling points in the Jialu River and Suoxu River were 83.4 ng·L⁻¹ and 100.4 ng·L⁻¹, respectively. The Xiaoqing River exhibited higher pollution levels than both the Jialu and Suoxu Rivers, with a total average concentration of 478.4 ng·L⁻¹, where ofloxacin and sulfamethoxazole were identified as the predominant pollutants. The results of ecological risk assessment indicated the RQ contributed by sulfamethoxazole ranged between 0.50−0.95 in the Xiaoqing River, suggesting a controllable risk but requiring prioritized mitigation strategies. The RQ values of norfloxacin were distributed within the range of 0.10-0.30, indicating a moderate ecological risk. The RQ values for ofloxacin and venlafaxine remained below 0.10, indicating a lower risk level. Conclusion PPCPs contamination is positive in the rivers of Zhengzhou, and sulfamethoxazole and ofloxacin are the primary cantaminants. The Xiaoqing River exhibits the highest pollution levels. The initial risk assessment show that sulfamethoxazole and norfloxacin pose potential ecological risks, requiring prioritized contamination management.

BACKGROUND:Many recent studies have shown a close relationship between inflammatory cytokines and osteoporosis and bone mineral density(BMD).However,the causal relationship between inflammatory cytokines and BMD has not been fully revealed. OBJECTIVE:To explore the potential causal relationship between inflammatory cytokines and BMD using a two-sample Mendelian randomization analysis. METHODS:The single nucleotide polymorphisms associated with 41 circulating inflammatory cytokines were selected from the open database of genome-wide association studies(GWAS)as instrumental variables.The GWAS data about BMD were from the Genetic Factors for Osteoporosis Consortium,involving a total of 32 735 individuals of European ancestry.Inverse variance weighting was used as the primary analysis to evaluate the causal effect.Weighted median,MR Egger regression,simple mode,and weighted mode methods were used to supplement the explanation.We used the MR-Egger intercept and MR-PRESSO method to conduct a pleiotropy test,the Cochran's Q test was used to determine whether there was heterogeneity in the results,and the leave-one-out method was used to evaluate the stability of the results.In addition,to more accurately assess the causality,the Bonferroni-corrected test was used to identify inflammatory cytokines that have a strong causal relationship with BMD. RESULTS AND CONCLUSION:(1)According to the results of the inverse variance weighting method,we found a positive causal relationship between interleukin-8 and lumbar spine BMD[β=0.075,95%confidence interval(CI):0.033-0.117,P=0.000 5),while a negative causal relationship between interleukin-17 and lumbar spine BMD(β=-0.083,95%CI:-0.152 to-0.014,P=0.018).There might be a negative causal relationship between tumor necrosis factor b and femoral neck BMD(β=-0.053,95%CI:-0.088 to-0.018,P=0.003),while a positive causal relationship between basic fibroblast growth factor and femoral neck BMD(β=0.085,95%CI:0.016-0.154,P=0.015).There might be a negative causal relationship between macrophage inflammatory protein-1a and total body BMD(β=-0.056,95%CI:-0.105 to-0.007,P=0.025).There was a negative causal relationship between interleukin-5(β=-0.019,95%CI:-0.031 to-0.006,P=0.004),stromal cell-derived factor-1a(β=-0.022,95%CI:-0.038 to-0.005,P=0.010),hepatocyte growth factor(β=-0.021,95%CI:-0.041 to-0.002,P=0.030),interleukin-4(β=-0.016,95%CI:-0.032 to-0.001,P=0.034)and heel BMD,while a positive causal relationship between nerve growth factor(β=0.019,95%CI:0.002-0.036,P=0.033),granulocyte colony-stimulating factor(β=0.011,95%CI:0.000-0.022,P=0.050),and heel BMD.Meanwhile,after the Bonferroni-corrected test,there was a strong positive causal effect between interleukin-8 and lumbar spine BMD(P=0.000 5).And consistent directional effects for all analyses were observed in MR Egger,weighted median,simple mode,and weighted mode methods.(2)Sensitivity analyses revealed no heterogeneity,pleiotropy,or outliers for the causal effect of circulating inflammatory cytokines on BMD.

Objective:To analyze the multidrug resistance and genomic characteristics of Monophasic variant of Salmonella enterica serovar Typhimurium (monophasic Salmonella enterica serovar Typhimurium) isolates from clinical patients and food sources in Henan province. Method:A total of 91 monophasic S.Typhimurium strains isolated from clinical and food sources in Henan from 2021 to 2023 were analyzed for antimicrobial sensitivity and underwent whole genome sequencing. Multilocus sequence typing(MLST), multidrug resistance genes and plasmid types were identified using the sequencing data. Phylogenetic tree based on core genome multilocus sequence typing (cgMLST) and single nucleotide polymorphism (SNP) sites was constructed to analyze the genetic evolutionary relationship by comparing with international popular strains in public databases. The Chi-square test was used to compare drug resistance rates. Results:No significant difference was observed in the drug resistance rates between the clinical strains and food strains in Henan [82.19%(60/73) and 11/18, χ2=2.614, P=0.106]. The overall multidrug resistance (MDR) rate was 78.02%(71/91). Most strains were resistant to ampicillin, tetracycline chloramphenicol, β-lactam and sulfonamides. Resistance genes carried by the isolates varied, as well as the drug-resistant phenotypes. MLST showed that 91 strains of S.Typhimurium belonged to ST34 and carried aminoglycoside acetyltransferase gene aac(6′)-Iaa and mobile genetic elements such as plasmids IncQ1 and IncHI2/IncHI2A. The results of cgMLST typing phylogenetic trees showed that food and clinical isolates from the same region in Henan were identified as the same cgST type and clustered in the same branch, which indicated the risk for cross-infection between animal and human. The phylogenetic tree of monophasic S.Typhimurium constructed based on SNP sites showed that the majority of monophasic S.Typhimurium strains in Henan were close to the strains from other provinces in China, other strains were close to the strains from Europe and Southeast Asia, suggesting the possibility of cross regional transmission of the strains. Pork was identified as the main food source. Conclusion:The prevalent ST type of monophasic S.Typhimurium isolated from Henan was ST34, which carried multiple antibiotic resistance genes and widespread drug resistance phenotypes. Most of the monophasic S.Typhimurium isolates in Henan showed a specific phylogenetic lineage with the foreign epidemic strains, indicating the possibility of dissemination of strains between humans and food.

Ovairan steroid cell tumor, not otherwise specified is a rare type of ovarian sex cord-stromal tumor, accounting for<0.1% of all ovarian tumors. This article analyzes the diagnosis and treatment process, clinical manifestations, diagnosis and differential diagnosis, immunohistochemistry, treatment, and prognosis of a case of ovarian SCT-NOS.

OBJECTIVE To construct a predictive tool for surgical site infections(SSIs)in spinal surgery for Chi-nese population to provide evidence support for reducing SSIs.METHODS A systematic review of Chinese and English database literature was conducted for Meta-analysis to obtain pooled risk values for influencing factors,and a risk prediction scoring tool was constructed based on the logistic regression model.Patients who underwent spinal surgery and completed postoperative follow-up in a tertiary hospital in Beijing from Jan.to Dec.2021 were selected to validate the predictive effect of the tool.RESULTS The predictive model for SSIs in Chinese spinal sur-gery patients was Logit(P)=—3.47+0.63(age 60 years)+0.31 ×(patient with cardiovascular disease)+0.69 ×(rheumatoid arthritis)+1.07 ×(diabetes)+1.06 ×(operation duration＞3 h)+1.17 ×(preopera-tive albumin＜35 g/L)+0.71 ×(history of spinal surgery)+0.67 ×(carrying internal implants)+0.73 ×(blood transfusion).The total score of the predictive tool was 92,with a cutoff score of≥24.50 indicating high-risk individuals.The area under the curve was 0.733,with the sensitivity 58.30％and the specificity 79.60％.CONCLUSION The established predictive model for SSIs in Chinese spine surgery demonstrates good predictive performance and can be used as a reference assessment tool in clinical practice.

Objective:To analyze the dynamic plantar pressure distribution of persons with chronic plantar fasciitis (PF).Methods:Twenty persons with unilateral, chronic PF were recruited as the PF group, while twenty-three healthy counterparts were recruited as the control group. A foot-pressure measurement system was used to collect data describing the plantar pressure for each subject with or without PF while walking. The pressure data included the load of peak plantar pressure (PP), the mean plantar pressure (MP), the total foot ground contact area (TCA), and the load percentage and the foot ground contact area beneath the medial heel (MH), the lateral heel (LH), the medial longitudinal arch (MLA), the lateral longitudinal arch (LLA), the first metatarsal head (M1), the second to third metatarsal heads (M2-3), the fourth to fifth metatarsal heads (M4-5), the hallux (T1), and toes two to five (T2-5).Results:In the PF group, significant differences were observed during walking between the affected and unaffected feet in terms of PP [(2.41±0.44)kg/cm 2 versus (3.02±0.63)kg/cm 2]. Both were significantly greater than among the control group. Asymmetry in the load distribution was identified beneath the MH, M2-3, M1, MLA, M4-5 and T2-5 among the chronic PF group. There were also significant differences between the affected foot of the chronic PF group and the non-dominant foot of the control group with regard to the load percentage beneath the LH, M4-5, T2-5, M2-3 and T1. The load percentage under the LH was significantly higher under the unaffected foot of the PF group than under the dominant foot of the control group. In terms of ground contact area, the T2-5 area of the affected foot of the PF group was significantly smaller than that of the unaffected foot, as well as compared to the non-dominant foot of the control group. The TCA of both feet among the PF group was significantly smaller than under the corresponding feet of the control group. Conclusions:Patients with chronic plantar fasciitis apply plantar pressure asymmetrically during walking. They tend to shift their weight laterally onto the asymptomatic foot. During walking, those with PF apply higher plantar pressure over a smaller ground contact area.

Education is a crucial element in the development of acupuncture as a discipline, providing essential talent support for its future advancement. A structured interview was conducted with renowned acupuncture expert Professor ZHAO Jiping, focusing on key topics such as the core of acupuncture education, the connotation and development of acupuncture textbooks, and acupuncture teaching models. Through in-depth discussion, the current problems in acupuncture education were analyzed, and possible solutions were explored, aiming to offer ideas for the innovative development of acupuncture education.
Acupuncture/trends* ; Humans ; Acupuncture Therapy ; China

This study aims to simultaneously detect three antibiotic resistance genes(blaNDM,mcr-1 and cfr).A triplex fluorescence quantitative PCR method was established.Plasmids,primers and probes were designed and optimized.The method could specifically detect blaNDM,mcr-1 and cfr,but not other antibiotic resistance genes.The R2 of the standard curves of the three antibiotic re-sistance genes were all greater than 0.999,and the coefficients of variation were all lower than 1％.The lowest detection limits of the plasmids were 1 × 102 copies/μL.This method was used to de-tect 800 bacterial samples.The results showed that 32 samples contained mcr-1 gene,40 samples contained blaNDM gene,2 samples contained cfr gene,8 samples contained both mcr-1 and blaNDM genes.There were no samples carrying three antibiotic resistance genes detected.The results indica-ted that the triplex fluorescence quantitative PCR method established in this experiment had the advantages of high sensitivity,specificity and stability.It was suitable for rapid detection of blaNDM,mcr-1 and cfr antibiotic resistance genes in clinical practice.It provided a convenient and quick method basis for the detection of antibiotic resistance genes.