ObjectiveTo explore the coercive experience of involuntarily hospitalized adolescents with mental disorders during the admission process and hospitalization， providing references for formulating targeted nursing interventions. MethodsSemi-structured interviews were conducted with 15 involuntarily hospitalized adolescents with mental disorders selected from October to December 2023， and the themes were summarized and extracted by content analysis. ResultsA total of 3 themes and 10 sub-themes were extracted， which were used to elaborate the essential contents， causes， and improvement methods of coercive experience. These encompassed the multi-dimensional content of coercive experience （complex emotional experience， different physical sensations， and contradictory cognitive evaluation）， the multi-faceted causes of coercive experience （insufficient personal preparation， inadequate parental communication， and strict medical management system）， as well as the phased improvement of coercive experience （adequate communication before hospitalization， patient notification before coercive intervention， respecting for demands during coercive intervention， and comforting explanation after coercive intervention）. ConclusionThe essential content of the coercive experience of involuntarily hospitalized adolescents with mental disorders is complex and has various causes， which require cooperation from multiple parties to improve. Therefore， parents should respect the expression of their children’s self-will， and medical staff should respect patients’ autonomy， establishing a protection-constrained doctor-patient relationship model and collaborating to reduce the use of coercive interventions， to improve the overall medical satisfaction of adolescents with mental disorders.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

Objective: To explore the efficacy of pelvic floor optimization training of Yun-type with the aid of myoelectric biofeedback in the treatment of mild to moderate female stress urinary incontinence (SUI). Methods: Female SUI patients treated in our hospital during Jan.and Oct.2024 were included as the research subjects.They were randomly divided into the control group (n=47) and observation group (n=48) by random number method.The control group received conventional Yun-type pelvic floor optimization training，while the observation group received Yun-type pelvic floor optimization training assisted with myoelectric biofeedback.The total treatment course lasted for 12 weeks.The clinical efficacy，as well as the changes in international consultation on incontinence questionnaire for symptoms and impact (ICI-Q-SF)，incontinence quality of life (I-QoL)，female sexual function index (FSFI)，and pelvic floor electromyographic values before and after treatment were compared. Results: The total effective rate of the observation group was 93.6%，which was significantly higher than that of the control group (79.2%，P<0.05).After 12 weeks of treatment，the ICI-Q-SF [(6.12±1.11) vs. (6.97±1.24)]，I-QoL [(85.05±4.51) vs. (82.14±4.60)]，and FSFI [(30.01±4.10) vs. (26.32±3.32)] scores of the observation group were significantly better than those of the control group (P<0.05).After 12 weeks of treatment，the myoelectric values of the pelvic floor muscles of the observation group at the pre-rest stage，fast muscle (type Ⅱ muscle) stage，slow muscle (type Ⅰ muscle) stage，endurance test stage，and post-rest stage were significantly improved compared with those before treatment and were greatly enhanced compared with those of the control group (P<0.05).No serious adverse reactions occurred in either groups during treatment and follow-up. Conclusion: The Yun-type pelvic floor optimization training assisted with myoelectric biofeedback can precisely enhance the therapeutic effects of the conventional Yun-type pelvic floor optimization training，and significantly improve the female sexual function index.It is worthy of clinical promotion and application.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

Self-management helps patients alleviate the impact of disease on their social functions, emotions, and interpersonal relationships. This article provides an overview of the origin, key components, and current application of Individual and Family Self-Management Theory in clinical nursing. Based on this overview, the article presents future directions to enhance the understanding of this theory among Chinese nursing personnel and to further promote its application in nursing practice in China.

Purpose/Significance The scoping review summarizes the application of large language models in clinical practice,and provides references for their promotion.Method/Process PubMed,Embase,Wanfang and CNKI databases are searched to screen the lit-erature related to the application of large language models in clinical practice,and the content of the included literature is extracted,sum-marized and analyzed.Result/Conclusion Large language models have application value in providing treatment suggestions,assisting disease diagnosis,health education,analyzing text image data,etc.However,their performance in answer accuracy and individualization is not satisfactory.In general,large language models show significant potential in clinical practice,but necessary measures must be taken to control the application risks and confirm the scope of application.

Objective:To establish the reference value of the angle between the left ventricular inflow and outflow tract (LIOA) in normal fetuses in the second and third trimesters, and observe the correlation between fetal LIOA and gestational age, cardiac axis, cardiac size, and estimated fetal weigh (EFW).Methods:Fetal LIOA in normal fetuses with gestational age from 16 weeks to 39 + 6 weeks were obtained prospectively by two-dimensional ultrasound in the Second Xiangya Hospital from November 2022 to April 2023. Pearson′s correlation coefficient was used to analyze the correlation between fetal LIOA and gestational age, cardiac axis, cardiovascural size and EFW. Results:The LIOA range of 651 normal fetuses was (44.39±7.67)°, and it was found that LIOA was not related to gestational age. LIOA mildly positively correlated with the cardiac axis ( r=0.22, P<0.05) while not correlated with gestational age, cardiovascural size or EFW (all P>0.05). Conclusions:The range of LIOA in normal fetuses were established. Fetal LIOA is constant in the second and third trimesters and it is mildly positively correlated with the cardiac axis. Evaluating fetal LIOA may also provide information for future research on the fetal aortic hemodynamic development.

ObjectiveBased on the experience of traditional quality evaluation， the quality of Atractylodis Macrocephalae Rhizoma（AMR） with different production methods such as direct seeding， transplanting after seedling raising， topping and non-topping， and difference in growth years was compared. MethodVernier caliper was used to measure the trait data of AMR in different production methods. Paraffin sections of AMR with different production methods were made by saffron solid green staining， and the microstructure was observed. The contents of water-soluble and alcohol-soluble extracts in AMR with different production methods were determined according to the 2020 edition of Chinese Pharmacopoeia. The content of water-soluble total polysaccharides in AMR with different production methods was detected by sulfuric acid-anthrone method. Fiber analyzer was used to detect the content of fiber components in AMR with different production methods. The contents of monosaccharides， oligosaccharides and some secondary metabolites in AMR with different production methods were detected by ultra performance liquid chromatography（UPLC）， and the differences of chemical components were compared by multivariate statistical analysis methods such as principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA）. ResultIn terms of traits， the 3-year-old AMR with direct seeding and without topping was close to the high-quality AMR with "phoenix-head and crane-neck， strong sweetness and clear aroma" recorded in ancient materia medica， followed by the 3-year-old AMR with topping after transplanting， while the 2-year-old AMR with topping after transplanting with high market circulation rate was generally fat and strong with mild odor. In the microscopic aspect， the arrangement of xylem vessels and fiber bundles in the 3-year-old samples formed two obvious rings. Compared with the 2-year-old samples cultivated in Bozhou and Zhejiang， the 3-year-old samples without topping after transplanting had more wood fibers. In terms of chemical composition， the contents of 70% ethanol extract， fructose， glucose， sucrose， 1-kestose， atractylenolide Ⅰ， chlorogenic acid， neochlorogenic acid， cryptochlorogenic acid and other components in 3-year-old AMR with direct seeding and without topping were significantly higher than those in the other three samples（P<0.05）. The contents of cellulose， 70% ethanol extract， sucrose， atractylenolide Ⅰ， atractylone and other components in 3-year-old AMR with topping after transplanting were significantly higher than those in the 2-year-old AMR with high market circulation rate（P<0.05）， while the contents of water-soluble extract and water-soluble total polysaccharides in 2-year-old samples with topping after transplanting were significantly higher than those in the 3-year-old AMR with topping after transplanting， direct seeding and without topping（P<0.05）. ConclusionUnder the current mainstream production mode， too much manual intervention makes AMR heavily enriched in polysaccharides and increased the yield， but the accumulation of sweet substances， fragrant substances and fiber substances is insufficient， which affects its quality. The current quality standard of AMR has some shortcomings in guiding the high quality production of it， it is suggested to revise the quality standard of AMR， supplement the quantitative analysis of secondary metabolites， and strengthen the production of imitation wild AMR.