ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

This study aims to investigate the effect of Lactiplantibacillus plantarum LP12 on obe-sity prevention.In our study,Lactiplantibacillus plantarum LP12 was added to the diet for feed-ing,and the blood biochemistry status of rabbit,as well as the antioxidant effect of serum and liver samples were analyzed by determining the body weight change and feed intake of Japanese White rabbits.The changes in colony structure and abundance were also analyzed by 16S rDNA sequen-cing.The results showed that supplementation of Lactiplantibacillus plantarum LP12 inhibits weight gain,decreases serum glucose and ALT levels,and increases SOD activity in the liver.16S RNA gene sequencing analysis showed that the addition of Lactiplantibacillus plantarum LP12 increases the abundance of Bacteroidetes and Desulfovibrioides at the phylum level,and the supple-mentation of Lactiplantibacillus plantarum LP12 increases the abundance of Muribaculaceae at the genus level.Predictive analysis of microbiota function revealed that the supplementation of Lactiplantibacillus plantarum LP12 positively regulated iron-sulfur clusters and Zn-dependent proteases.In conclusion,the addition of Lactiplantibacillus plantarum effectively inhibits weight gain in Japanese White rabbits,enhances the antioxidative activity of the liver,and induces altera-tions in the gut microbiota composition of these rabbits.These findings lay an experimental foun-dation for further exploring the mechanisms by which Lactobacillus plantarum LP12 exerts its preventive effects against obesity and promotes metabolic health.

Objective To systematically evaluate the predictive models for re-admission in patients with heart failure (HF) in China. Methods Studies related to the risk prediction model for HF patient re-admission published in The Cochrane Library, PubMed, EMbase, CNKI, and other databases were searched from their inception to April 30, 2024. The prediction model risk of bias assessment tool was used to assess the risk of bias and applicability of the included literature, relevant data were extracted to evaluate the model quality. Results Nineteen studies were included, involving a total of 38 predictive models for HF patient re-admission. Comorbidities such as diabetes, N-terminal pro B-type natriuretic peptide/brain natriuretic peptide, chronic renal insufficiency, left ventricular ejection fraction, New York Heart Association cardiac function classification, and medication adherence were identified as primary predictors. The area under the receiver operating characteristic curve ranged from 0.547 to 0.962. Thirteen studies conducted internal validation, one study conducted external validation, and five studies performed both internal and external validation. Seventeen studies evaluated model calibration, while five studies assessed clinical feasibility. The presentation of the models was primarily in the form of nomograms. All studies had a high overall risk of bias. Conclusion Most predictive models for HF patient re-admission in China demonstrate good discrimination and calibration. However, the overall research quality is suboptimal. There is a need to externally validate and calibrate existing models and develop more stable and clinically applicable predictive models to assess the risk of HF patient re-admission and identify relevant patients for early intervention.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

Objective:To develop the Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses and to test its reliability and validity.Methods:The first draft of the questionnaire was formed through literature review and expert consultation based on the competency theory. Convenience sampling was used to survey 218 clinical teachers of traditional Chinese medicine specialist nurses in 5 ClassⅢ Grade A hospitals in Zhejiang and Jiangsu provinces from June to July 2024 to test the reliability and validity of the questionnaire.Results:The Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses contained 5 dimensions, including professionalism and personal attributes, professional knowledge and skills, clinical practice ability, clinical teaching ability, and research management ability, with a total of 35 items. The scale-level content validity index was 0.875. The Cronbach's α coefficient was 0.974, the folded half reliability was 0.845, and the retest reliability was 0.912.Conclusions:The Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses has good reliability and validity, and can be used as a valid tool for evaluating the core competencies of clinical teachers of traditional Chinese medicine specialist nurses.

This study aims to investigate the effect of Lactiplantibacillus plantarum LP12 on obe-sity prevention.In our study,Lactiplantibacillus plantarum LP12 was added to the diet for feed-ing,and the blood biochemistry status of rabbit,as well as the antioxidant effect of serum and liver samples were analyzed by determining the body weight change and feed intake of Japanese White rabbits.The changes in colony structure and abundance were also analyzed by 16S rDNA sequen-cing.The results showed that supplementation of Lactiplantibacillus plantarum LP12 inhibits weight gain,decreases serum glucose and ALT levels,and increases SOD activity in the liver.16S RNA gene sequencing analysis showed that the addition of Lactiplantibacillus plantarum LP12 increases the abundance of Bacteroidetes and Desulfovibrioides at the phylum level,and the supple-mentation of Lactiplantibacillus plantarum LP12 increases the abundance of Muribaculaceae at the genus level.Predictive analysis of microbiota function revealed that the supplementation of Lactiplantibacillus plantarum LP12 positively regulated iron-sulfur clusters and Zn-dependent proteases.In conclusion,the addition of Lactiplantibacillus plantarum effectively inhibits weight gain in Japanese White rabbits,enhances the antioxidative activity of the liver,and induces altera-tions in the gut microbiota composition of these rabbits.These findings lay an experimental foun-dation for further exploring the mechanisms by which Lactobacillus plantarum LP12 exerts its preventive effects against obesity and promotes metabolic health.

Objective:To develop the Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses and to test its reliability and validity.Methods:The first draft of the questionnaire was formed through literature review and expert consultation based on the competency theory. Convenience sampling was used to survey 218 clinical teachers of traditional Chinese medicine specialist nurses in 5 ClassⅢ Grade A hospitals in Zhejiang and Jiangsu provinces from June to July 2024 to test the reliability and validity of the questionnaire.Results:The Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses contained 5 dimensions, including professionalism and personal attributes, professional knowledge and skills, clinical practice ability, clinical teaching ability, and research management ability, with a total of 35 items. The scale-level content validity index was 0.875. The Cronbach's α coefficient was 0.974, the folded half reliability was 0.845, and the retest reliability was 0.912.Conclusions:The Competency Assessment Questionnaire for Clinical Teachers of Traditional Chinese Medicine Specialist Nurses has good reliability and validity, and can be used as a valid tool for evaluating the core competencies of clinical teachers of traditional Chinese medicine specialist nurses.

Objective To establish a prediction model for in-hospital mortality risk in patients with sepsis-induced coagulopathy based on LASSO regression.Methods Patients with sepsis-induced coagulopathy ad-mitted to intensive care unit(ICU)at Beth Israel Deaconess Medical Center during 2008 to 2019 were selected from the Medical Information Market for Intensive Care(MIMIC)-Ⅳ database(version 2.1)for retrospective study.The study subjects were randomly divided into modeling group and verification group,and the feature variables were screened by LASSO regression.The feature variables were analyzed by multivariate Logistic re-gression to determine independent risk factors,and the nomogram prediction model was established at the same time.The model performance was evaluated by drawing calibration curve and receiver operating charac-teristic(ROC)curve,as well as decision curve analysis.Results A total of 4 994 patients with sepsis-induced coagulopathy admitted to ICU for the first time were enrolled in this study.They were randomly divided into a model group(n=3 495)and a validation group(n=1 499)at a ratio of 7:3.Multivariate Logistic regres-sion analysis showed that age,mean respiratory rate,mean corpuscular hemoglobin concentration,red blood cell count,platelet count,prothrombin time,anion gap,acute physiological score Ⅲ and acute kidney injury were independent risk factors for in-hospital mortality of patients with sepsis-induced coagulopathy.Based on the above independent risk factors,a nomographic prediction model was constructed.The area under the ROC curve and 95％confidence interval of the nomogram in the modeling group and validation group were 0.864(0.849-0.880)and 0.877(0.852-0.901),respectively.The sensitivity was 0.795 and 0.763,and the speci-ficity was 0.779 and 0.843,respectively.The calibration curve suggested that the predicted probability was ba-sically consistent with the actual probability,and the decision curve analysis showed that it had good clinical net benefits within a wide range of threshold.Conclusion The nomogram model based on MIMIC-Ⅳ database has good predictive value for predicting the in-hospital mortality of patients with sepsis-induced coagulopathy and can be used to guide clinical work.