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 investigate the association between parenting styles and attention deficit hyperactivity disorder (ADHD) in preschool children，so as to provide a basis for family based interventions for ADHD in the population. Methods: Between August and December 2023, a random cluster sampling method was used to recruit 6 454 preschool children from 60 kindergartens in two counties/districts in Wuhu City, Anhui Province. The Swanson, Nolan, and Pelham Rating Scale, version IV was used to assess ADHD symptoms, and the Caregiver Parenting Style Questionnaire was applied to collect data on parenting styles. Multivariate Logistic regression was used to analyze the associations between parenting styles and ADHD subtypes. Results: Among the preschool children, 235 were screened positive for ADHD, with a positivity rate of 3.64%. Parenting style scores were as follows:indulgent parenting for 8.00 (7.00, 10.00), authoritative parenting for 38.00 (33.00, 41.00), permissive parenting for 14.00 (11.00, 17.00), authoritarian parenting for 17.00 (14.00, 20.00), and inconsistent parenting 10.00 (7.00, 12.00). Multivariate Logistic regression analysis showed that, after adjustment for confounding factors such as childrens sex, age, and family characteristics, preschool children with authoritarian parenting style were associated with higher odds of hyperactive ( OR = 1.13 ) and combined ADHD subtypes ( OR =1.11), while those with inconsistent parenting style were associated with higher odds of the inattentive subtype ( OR =1.09) (all P <0.01). Indulgent, democratic and permissive parenting styles showed no statistically significant associations with any ADHD subtype ( OR =1.02-1.07, 0.98-1.00, 1.01-1.03, all P >0.05). Conclusions Parenting styles are closely associated with the occurrence and subtypes of ADHD in preschool children. Authoritarian and inconsistent parenting styles are potential risk factors for ADHD in preschool children, and modifying adverse parenting styles may serve as an important strategy for family based interventions for ADHD in preschool children.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

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 Based on a complete Freund's adjuvant(CFA)-induced chronic inflammatory pain model,we compared and analyzed the differences in anti-inflammatory and analgesic effects of moxibustion intervention initiated at different timepoints,aiming to identify the optimal timing for moxibustion intervention.The goal is to establish standardized intervention protocols for basic research on the anti-inflammatory and analgesic effects of moxibustion.Methods Male C57BL/6 mice were randomly divided into 3 groups based on the moxibustion initiation timepoints of 4,7,and 10 d after modeling.Then,the mice in each group were randomly assigned to 3 subgroups,including a control group,a model group,and a moxibustion group,with 8 mice in each subgroup.Chronic inflammatory pain was induced by injecting 20 μL of CFA into the sole of the right hind paw.Moxibustion applied at the"Zusanli"acupoint for 30 minutes started on the 4th,7th,and 10th days after modeling,and the intervention continued for 7 days.The latency of paw withdrawal to thermal radiation was measured to evaluate the pain threshold before modeling,after modeling,and on the 1st,4th,and 7th days of treatment.Foot volume was measured to assess toe swelling before modeling,after modeling,and on the 1st and 7th days of treatment.Results Compared with the control group,the model group exhibited a reduced pain threshold(P＜0.0001)and increased paw volume(P＜0.0001).Compared with the model group,the subgroups receiving moxibustion intervention initiated on the 4th,7th,and 10th days post-modeling exhibited an increased pain threshold(P＜0.05,P＜0.0001).However,the paw volume of the subgroups receiving moxibustion intervention initiated on the 4th day post-modeling increased(P＜0.0001),while those of the subgroups receiving moxibustion intervention initiated on the 7th and 10th days post-modeling decreased(P＜0.0001).Among the intervention subgroups receiving moxibustion initiated on days 4,7,and 10,the day 7 intervention-initiating subgroup showed significant increase in pain threshold(P＜0.05,P＜0.0001),and the day 7 and day 10 intervention-initiating subgroups showed significantly reduced paw volume(P＜0.0001).Conclusion Considering both the analgesic and anti-inflammatory effects of moxibustion,day 7 post-modeling may be the optimal time for moxibustion to achieve effective anti-inflammatory and analgesic outcomes.

Objective To understand the incidence of nutritional risk in IBD patients in Kunming City,and to analyze the influencing factors.Methods A total of 707 IBD patients who were hospitalized in the First Affiliated Hospital of Kunming Medical University from September 2016 to May 2024 were retrospectively enrolled.Patient general information,disease-related data,and laboratory examination results were collected.Nutritional risk screening was performed using the NRS2002 scale,with subjects divided into nutritional risk and no-nutritional risk groups.Among Crohn's disease(CD)patients,110 were in the nutritional risk group and 85 in the no nutritional risk group.For ulcerative colitis(UC)patients,146 were in the nutritional risk group and 366 in the no nutritional risk group.Statistical analysis was conducted on the collected data.Results The incidence of nutritional risk in IBD patients was 36.21%,with 56.41%for CD and 28.52%for UC.Statistical analysis showed that for CD patients,sleep,BMI,disease diagnosis age,and disease activity were influencing factors of nutritional risk(P<0.05).For UC patients,influencing factors were BMI,disease activity,albumin(ALB),and erythrocyte sedimentation rate(ESR)(P<0.05).Conclusion IBD patients have a high nutritional risk,with CD patients being more severely affected.The influencing factors of nutritional risk are complex.Medical personnel should conduct early nutritional risk screening for IBD patients to avoid adverse outcomes due to nutritional issues.

Objective: To investigate the mediating role of children s sleep quality in the association between mother-child relationship and the executive function of preschool children, providing a reference for promoting the development of the executive function of preschool children. Methods: A stratified cluster sampling method was used to select 842 preschoolers from 12 kindergartens in Wuhu City, Anhui Province in December 2021 as the subjects of the first follow up study with follow up every six months thereafter. Finally, 746 children were included in the study after 3 follow up. Spearman correlation analysis was used to explore the associations among mother-child relationship, sleep quality and executive function in preschool children. Bootstrap program and PROCESS software were applied to test the mediating effect of sleep quality in the association between mother-child relationship and the executive function of preschool children. Results: Conflictual mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory, and organizational planning ( r=0.40, 0.37, 0.36, 0.41, 0.38 , 0.34, all P <0.05). Dependent mother-child relationship was positively correlated with the total score of executive function, as well as scores of inhibitory, shifting, emotional control, working memory , and organizational planning ( r=0.23, 0.20, 0.21, 0.22 , 0.22, 0.19, all P <0.05). Sleep quality was positively correlated with the total executive function score ( r=0.27, P <0.01). After adjusting for confounding factors, sleep quality played a partial mediating role in the associations between dependent and conflictual mother-child relationships and executive function, the mediating effects were 19.40% and 11.22% respectively. Conclusions Sleep quality plays a mediating role in the association between mother-child relationship and the executive function of preschool children. Improving sleep quality in the early stage can promote the executive function of preschool children.

Viral infections are one of the main causes of deaths and economic losses around the globe, and effective virus detection methods are essential for epidemic prevention and control. Most existing detection methods have problems such as high false negative/positive rates, slow responses, high costs, and dependence on professional equipment and personnel, which are not conducive to the rapid and accurate detection of viruses. Field effect transistor (FET) biosensors have attracted widespread attention due to their advantages of label-free detection, high sensitivity, fast responses, real-time measurement, low power consumption, and small sizes for portability. This article first briefly describes the basic situation of viruses and the structure and detection principle of FET biosensors. Subsequently, it delves into the research achievements in the application of FET biosensors in the detection of influenza viruses, hepatitis viruses, human immunodeficiency virus, and severe acute respiratory syndrome coronavirus 2. Finally, we make a comprehensive summary and reasonable outlook on the role played by FET biosensors in biomedicine.
Biosensing Techniques/instrumentation* ; Transistors, Electronic ; Humans ; SARS-CoV-2/isolation & purification* ; Viruses/isolation & purification* ; Orthomyxoviridae/isolation & purification* ; Hepatitis Viruses/isolation & purification* ; Virus Diseases/virology* ; HIV/isolation & purification* ; COVID-19/diagnosis*

Objective To summarize the best evidence for diaphragm rehabilitation in mechanically ven-tilated ICU patients with ventilator-associated diaphragm dysfunction based on evidence-based methods.Meth-ods A systematic search was conducted across guideline websites,professional associations,and Chinese/English databases for evidence regarding diaphragm rehabilitation in mechanically ventilated ICU patients.The search timeframe spanned from database inception to December 31,2024.Two researchers independently per-formed quality assessment and synthesized the evidence.Results Twenty articles were included:2 clinical de-cisions,1 guideline,2 evidence summaries,3 systematic reviews,7 randomized controlled trials(RCT),and 5 expert consensuses/opinions.Twenty-seven pieces of evidence were formed across 6 themes:rehabilitation team,rehabilitation assessment,rehabilitation interventions,outcome evaluation,precautions,and education/training.Conclusion This study summarizes the best evidence for diaphragm rehabilitation in ICU mechani-cally ventilated patients.Healthcare professionals should implement diaphragm rehabilitation by integrating this evidence with specific clinical contexts to improve patient outcomes and enhance nursing quality.