Objective: To investigate the status quo and associated factors of drinking water knowledge, attitude and behavior among primary school students in rural areas, so as to provide evidence for health behavioral intervention of drinking water in primary school. Methods: Twentythree primary schools in rural area from Hebei, Henan, Shandong and Shanxi provinces were selected by using purposive sampling method from March 1 to April 27 in 2023. Selfdesigned questionnaires regarding knowledge, attitude and behavior of drinking water were distributed to all students in grade 3-6, and 2 173 valid questionnaires were obtained. Multivariate Logistic regression was used to analyze the influencing factors of drinking water knowledge, attitude and behavior of primary school students. Results: The attainment rates of drinking water knowledge, attitude and behavior level were 20.02%, 26.65%, and 31.20%, respectively, among primary school students. The median of daily water intake was 1 000 mL, and the average daily water intake was (1 172.99±771.89)mL. In addition, 66.31% of students water intake reached the minimum standard of 800 mL recommended. The results of multiple Logistic regression indicated that drinking water accessibility in school, health education of drinking water, and individual selfcontrol ability were positively correlated with the knowledge (OR=1.31, 1.57, 1.58), attitude (OR=2.07, 1.65, 1.73), behavior (OR=1.40, 1.49, 1.91) of drinking water and daily water intake (OR=1.41, 1.38, 1.20) (P<0.05). Conclusions Primary school students in rural areas are generally lack of appropriate health awareness on drinking water including knowledge, attitude and behavior. Schools should take targeted measures to focus on the cultivation of students selfcontrol ability, so as to improve students knowledge and attitudes of drinking water, and furthermore help students shape their healthy behaviors of drinking water.

Objective To systematically evaluate and analyze qualitative studies of parental engagement in kangaroo mother care experiences for preterm infants in the NICU,aiming to provide references for promoting the early recovery of preterm infants in NICU and improving the quality of nursing services.Methods Relevant were searched for qualitative studies of parental engagement in kangaroo mother care for preterm infants in NICU.The search time limit was from the construction of the database to July 19,2024.The quality of the included literature was assessed using the Joanna Brigg Institute's(JBI)Australian Centre for Evidence-Based Health Care's Quality Assessment Criteria for Qualitative Research,and the results were integrated using the meta-integration methods.Results A total of 17 papers were included in the literature,and 61 findings were extracted,grouped into 10 new categories.These were further synthesized into 4 integrated findings:physical and psychological perceptions of participation in kangaroo mother care;challenges to participation in kangaroo mother care;facilitators of participation in kangaroo mother care;expectations and suggestions for kangaroo mother care.Conclusion Hospital administrators should further improve the management specifications of kangaroo mother care for preterm infants in NICU,optimize resource allocation and strengthen publicity.At the same time,healthcare professionals should actively promote the establishment of peer and family support systems and increase participation in kangaroo mother care to facilitate early recovery of preterm infants in NICU and to continuously promote the improvement of nursing service quality.

Objective:To evaluate the technical feasibility and perioperative safety of pyeloplasty assis-ted by the CarinaTM modular laparoscopic surgical robotic system in patients with ureteropelvic junction obstruction(UPJO).Methods:From November to December 2024,five consecutive patients diagnosed with UPJO underwent robot-assisted pyeloplasty using the CarinaTM modular laparoscopic surgical system at Peking University First Hospital.Data on patient demographics,intraoperative parameters(including docking time,console time,and estimated blood loss),perioperative outcomes,follow-up results,and surgeons' subjective evaluations of system performance were prospectively collected.Descriptive statistics were used;continuous variables were presented as median(range),and categorical variables as frequen-cy and percentage.Results:The cohort included four females and one male.All the patients successfully completed the robotic procedure without conversion to open or conventional laparoscopic surgery.The me-dian age was 32 years(24-37 years),and the median body mass index was 21.6 kg/m2(15.8-27.3 kg/m2).The median docking time was 8 min(3-12 min),and the median console time was 91 min(71-125 min).Intraoperative blood loss was uniformly 20 mL.The median postoperative drainage du-ration was 3 d(0-4 d),and the median length of hospital stay was 4 d(4-9 d).No Clavien-Dindo grade Ⅲ or higher complications occurred.All the patients had their double-J stents removed at 2 months postoperatively,and pain in the ipsilateral flank,reported preoperatively by all the five patients,was al-leviated.The subjective surgical success rate was 100％.Surgeons reported stable system performance throughout all the procedures,with no instances of mechanical arm interference or visual drift affecting surgical fluency.Conclusion:Preliminary findings indicate that pyeloplasty using the domestically deve-loped CarinaTM modular laparoscopic robotic system is technically feasible and perioperatively safe for the treatment of UPJO.

Objective:To summarize the surgical strategies and to evaluate the clinical outcomes of up-per urinary tract reconstruction in patients with stone-related ureteral strictures.Methods:This retro-spective study included 71 patients diagnosed with ureteral strictures secondary to urinary stones who un-derwent upper urinary tract reconstructive surgery at Peking University First Hospital between March 2014 and November 2023.Patient data were collected,including demographic characteristics,clinical presen-tation,laboratory results,imaging findings,surgical procedures,and follow-up outcomes.Ureteral stric-tures were classified according to anatomical location into upper,middle,lower,or multiple segments.Surgical procedures were carried out depending on the stricture characteristics.Surgical success was de-fined as resolution or improvement of clinical symptoms,radiographic improvement or stabilization of hy-dronephrosis,and maintenance of normal and stable renal function.Results:Among the 71 patients,36(50.7％)had strictures in the upper ureter,9(12.7％)in the middle ureter,15(21.1％)in the lower ureter,and 11(15.5％)had multifocal ureteral strictures.The median stricture length was 5.0 cm(interquartile range:3.0-15.0 cm).Surgical approach selection was individualized based on the location and extent of the stricture.For upper ureteral strictures,the most frequently employed techniques were oral mucosal graft ureteroplasty(13/36,36.1％)and appendiceal flap ureteroplasty(8/36,22.2％).Other options included ureteroureterostomy and ileal ureter replacement for longer or more complex strictures.In middle ureteral strictures,treatment was stratified by length:balloon dilation(1/9,11.1％)and ureteroureterostomy(1/9,11.1％)were applied in shorter strictures,while oral mucosal graft ureteroplasty(3/9,33.3％)and ileal ureter replacement(4/9,44.4％)were reserved for longer segments.For lower ureteral strictures,ureteral reimplantation into the bladder was the most common approach(10/15,66.7％),often combined with a psoas hitch or Boari flap when necessary.All the patients with multiple segmental strictures underwent ileal ureter replacement due to the extensive nature of the disease.The median follow-up period was 14.2 months(range:6.1-107.1 months).During follow-up,69 of 71 patients(97.2％)achieved surgical success.Conclusion:Stone-related ure-teral strictures present with considerable heterogeneity in terms of anatomical location,length,and com-plexity.Careful preoperative evaluation and individualized surgical planning are critical to successful re-construction.With appropriate selection of surgical methods,favorable long-term clinical outcomes can be achieved in the majority of patients.

Objective:To understand the current status of financial management in public hospitals of Anhui Province and provide a basis for strengthening financial management and promoting high-quality development in public hospitals.Methods:Stratified and random sampling methods were used to select 100 public hospitals as sample hospitals.A self-designed questionnaire was used to conduct a questionnaire survey on the current status of financial management.Results:The overall financial management level of public hospitals in Anhui Province needs to be further improved.The main problems are that the functions of the chief accountant need to be fully exerted,the structure of financial personnel is uneven,the coverage and depth of budget management are insufficient,cost accounting is relatively rough,the operation management system is not sound,the construction of internal control emphasizes form over substance,and the informatization construction needs to be advanced urgently.Conclusion:In response to the existing problems,efforts can be made from fully exerting the functions of the chief accountant,optimizing the talent team,promoting the refinement of budget and cost management,deeply carrying out operation management,improving internal control,and making up for the shortcomings of informatization,to adapt to the new situation and policy requirements of the medical industry's development.

Neuroimaging techniques are tools used to investigate and monitor the activity of the nervous system.This study reviews studies that have attempted to quantify athletes'brain using neuroimaging techniques,and summarizes the specific changes in athletes'brain as evidenced by structural magnetic resonance imaging,functional magnetic resonance imaging,functional near-infrared spectroscopy,transcranial magnetic stimulation and electroencephalography.Open-skill sports have been found to increase the brain volume and resting-state functional connectivity related to athletes'executive control,somatosensory processing,vision,and balance coordination,whereas closed-skill sports may decrease the brain volume and resting-state functional connectivity related to athletes'episodic memory,emotional processing and executive functions.Brain regions associated with executive functions,body awareness,motor learning,and episodic memory exhibit stronger activation during tasks.Athletes demonstrate higher neural excitability and neural efficiency.The association between sports training and the brain should be explored through multimodal neuroimaging techniques,which will play a significant role in athlete selection,real-time status monitoring and long-term training supervision.

The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.