With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Palliative care is recognized as an effective measure to improve the quality of life for patients with end-stage diseases， and the significance and role of such patients participating in clinical trials to conquer major diseases has also become a broad consensus. However， due to the special physical， psychological， and social conditions of terminal trial participants， the ethical problems encountered in the trial process are more serious and complex. Drawing on ethical practice experience， these seemingly common phenomena and issues were deeply analyzed. Combined with the palliative care philosophy for end-stage patients， this paper proposed a series of improvement suggestions throughout the entire life cycle of clinical trials， hoping to promote the quality improvement of clinical research in which end-stage patients participate as subjects， while effectively protecting the safety and rights of the subjects and ensuring they receive appropriate palliative care during their participation in clinical trials or clinical-related scientific research.

Objective: To explore the clinical manifestations and treatment plans of chronic recurrent parotitis (CRP), and to provide a reference for the clinical diagnosis and treatment of CRP. Methods: Approval was obtained from the hospital’s Medical Ethics Committee, and a retrospective analysis and summary of the clinical features, imaging characteristics, diagnosis, and treatment of 41 CRP patients with complete data were performed. Results: Among the 41 patients with CRP, 14 were male and 27 were female, with a male-to-female ratio of approximately 1:2 (14/27). The age at first-time onset ranged from 3 to 23 years, with a median age of 6 years, and there were 38 patients (92.7%, 38/41) with the first onset age of under 18 years old. The age of the first visit to our hospital ranged from 4 to 72 years old, with an average age of (41.0 ± 17.3) years; the disease duration was 0.5 to 66 years, with an average of 35.0 ± 16.1 years. Twenty-five cases had bilateral parotid gland involvement (61.0%, 25/41). The clinical manifestations of CRP are repeated swelling of one or both parotid glands, along with discomfort, and this may be accompanied by mild edema or skin flushing and pus or jelly-like secretions at the duct openings. The typical manifestations of parotid angiography are: the dominant duct and branch ducts of the parotid gland do not have specific dilation or narrowing, and the peripheral ducts show characteristic “punctate, spherical, or cavitary” dilation and delayed emptying. Of the cases, 34 had abnormal enlargement of the main duct orifice (82.9%, 34/41), and 37 presented with abnormal anterior displacement of the accessory glands (90.2%, 37/41). The treatment plan of “antibiotic perfusion + aspiration and removal of obstruction (or aspiration after obstruction dissolution)+ postprandia massage along the direction of the parotid duct (from posterior to anterior) with multiple courses for consolidation”achieved favorable outcomes. The mean follow-up period of this group was(71.1+21.9)months, and no recurrence was observed during the follow-up period. Conclusion CRP is more prevalent in young females and frequently presents with bilateral involvement. Congenital anatomical defects, such as abnormal enlargement of the main duct orifice and abnormal anterior displacement of the accessory glands, are important predisposing factors. The multi-course comprehensive therapy centered on antibiotic infusion, removal and dissolution of obstructions, and post-prandial massage along the direction of the parotid duct has significant therapeutic effects and deserves clinical application.

Objective: To examine the associations between peer bullying and parental phubbing with executive function and their combined effect among primary and secondary school students, so as to provide scientific evidence for promoting healthy development of executive function among primary and secondary school students. Methods: In November 2024, a combining convenience with clustering method was used to select 3 547 primary and secondary school students in Shenzhen City. The Chinese versions of the Delaware Bullying Victimization Scale-Student (DBVS-S), the Parental Phubbing Scale (PPS), and the Teenage Executive Functioning Inventory (TEXI) were used to assess peer bullying, parental phubbing, and executive function, respectively. Generalized linear regression models were applied to analyze the associations of peer bullying and parental phubbing with executive function, and to assess their joint effects. Subgroup analyses were performed by ages and genders, and multiplicative interaction terms were used to test for interactions. Results: The score for peer bullying among primary and secondary school students was (15.27± 5.67 ), with verbal bullying, physical bullying, and relational bullying scores being (5.64±2.77) (4.70±1.62) (4.93±2.07), respectively. The score for parental phubbing was (13.98±5.00). Executive function score was (47.35±15.89), while inhibitory control and working memory scores were (26.44±9.00) (20.91±7.49), respectively. After adjusting for confounding factors such as age, gender, self reported family relationship, self reported family economic status, parental education level, both peer bullying ( β= 0.75, 95%CI =0.67-0.84), verbal bullying( β=1.41, 95%CI =1.23-1.58), physical bullying ( β=2.18, 95%CI =1.87- 2.49 ), relational bullying ( β=1.78, 95%CI =1.54-2.01) and parental phubbing ( β=0.88, 95%CI =0.79-0.98) were significantly positively associated with the degree of executive function impairment (all P <0.01). Joint effect analysis showed that, compared with the "no bullying low phubbing" group, the total executive function scores in other combined exposure groups were all higher ( β = 6.78-15.96, all P <0.01). Among them, the "bullying high phubbing" group exhibited the highest level of executive function impairment ( β=14.17, 95%CI=12.61-15.73, P <0.01). Subgroup analysis indicated significant interactions between verbal bullying and age on total executive function, inhibitory control, and working memory (all P interaction <0.01). The association of verbal bullying with executive function was slightly higher in primary and secondary school students younger than 13 years ( β=1.80, 95%CI = 1.45-2.16) than in those aged 13 years or older ( β=1.25, 95%CI =1.05-1.45) (both P <0.01). Other types of bullying and parental phone neglect showed no statistically significant interaction with age or gender in executive function, inhibitory control, and working memory(all P interaction >0.05). Conclusion Both peer bullying and parental phubbing are significantly associated with impaired executive function among primary and secondary school students, and there is a combined effect between them; among these, the association between verbal bullying and executive function impairment in younger primary and secondary school students is more pronounced.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To analyze the epidemic characteristics of reported tuberculosis incidence in Kashgar from 2015 to 2022, and use the seasonal autoregressive integrated moving average (SARIMA) model to predict the incidence, providing references for the local control of pulmonary tuberculosis.Methods:The reported incidence data of tuberculosis in the Kashgar area of Xinjiang from January 2015 to August 2023 were collected through the"Infectious Disease Monitoring System", a subsystem of the "Chinese Disease Prevention and Control Information System". The epidemic characteristics of reported incidence in this area from 2015 to 2022 were analyzed. Two SARIMA models of monthly reported incidence number and rate were established. The prediction performance of the two models was evaluated using the reported incidence data of tuberculosis from January 2023 to August 2023. The χ2 test was used to analyze population characteristics, and the Cochran-Armitage trend test was used to analyze annual incidence. Results:From 2015 to 2022, 133 972 cases of pulmonary tuberculosis were reported in Kashgar, with a yearly reported incidence rate of 383.64/100 000, showing a rising trend ( TCA=77.03, P<0.001) and then a declining trend ( TCA=176.16, P<0.001). The proportion of pathogenic positive pulmonary tuberculosis had increased yearly ( TCA=132.66, P<0.001). The reported onset time was concentrated from January to June each year, with a peak in April. Yengisar County, Zepu County and Yopurga County had the highest reported incidence rate in Kashgar. The sex ratio of men to women was 1.03∶1, and the reported incidence rate of men was higher than that of women ( χ2=27.04, P<0.001). The reported incidence rate of the group aged 60 years and older was the highest. The patient′s occupation was mainly farmers (84.99%). The average relative errors of the SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model in predicting the reported monthly incidence number and rate were 11.67% and -9.81%, respectively. Both models had good prediction accuracy (MAPE=33.55%, MAPE=38.22%). Conclusion:The average reported incidence rate of pulmonary tuberculosis in the Kashgar area shows a rising trend first and then a declining trend. The patients are mainly men and farmers, and attention should be paid to the prevention and control of tuberculosis among the elderly in winter and spring. The SARIMA ( 1, 1, 2) ( 0, 1, 1) 12 model and SARIMA ( 0, 1, 1)( 0, 1, 1) 12 model can fit the trend of reported tuberculosis incidence in the Kashgar area well and have good predictive performance.

Objective To investigate the pharmacological effects of"Yajieshaba"on mice with alcohol-induced liver injury and to investigate the mechanism of the impact of"Yajieshaba"on the regulation of intestinal flora by 16S rDNA technology.Methods Healthy male KM mice were randomly divided into control,model,"Yajieshaba"low,medium,and high dose(0.39,1.17 and 3.51 g·kg-1)groups and Bifendatatum(2.93 mg·kg-1)groups,with eight mice in each group.After one week of pre-administration of"Yajieshaba",a mouse model of acute alcoholic liver injury was established by a single instillation of 56%alcohol,and the levels of AST and ALT in the serum of mice were measured,and the morphological changes of liver histology were observed by HE staining;secondly,faecal DNA was extracted from each group under aseptic operation,and 16S rDNA sequencing and differential analysis by alpha diversity and species composition at the phylum and genus levels were performed.Results The results showed that the biochemical indexes of liver function(ALT and AST)were significantly improved by"Yajieshaba",and the degree of liver damage was significantly reduced by HE staining.At the phylum level,it significantly decreased the abundance of Aspergillus and increased the quantity of Bacteroides;at the genus level,it significantly up-regulated the plenty of Bacteroides and Prevotella and downregulated a lot of Prevotella and Helicobacter.At the genus level,"Yajieshaba"significantly up-regulated the abundance of Bacillus spp.and Prevotella spp.and down-regulated the abundance of Prevotella spp.and Helicobacter spp.Conclusion"Yajieshaba"may play an anti-acute alcoholic liver injury effect by regulating the intestinal flora and metabolites.

Objective:To investigate serum vitamin A and vitamin D status in children aged 2-<7 years in 20 cities in China.Methods:A cross-sectional study was conducted. A total of 2 924 healthy children aged 2-<7 years were recruited from September 2018 to September 2019 from 20 cities in China, categorized by age groups of 2-<3 years, 3-<5 years, and 5-<7 years. The demographic and economic characteristics and health-related information of the enrolled children were investigated. Body weight and height were measured by professional staff members. The serum vitamin A and vitamin D levels were detected by high-performance liquid chromatography-tandem mass spectrometry. Chi-square test and Logistic regression were applied to analyze the association between vitamin A and vitamin D deficiency and insufficiency as well as their underlying impact factors.Results:The age of the 2 924 enrolled children was 4.33 (3.42, 5.17) years. There were 1 726 males (59.03%) and 1 198 females (40.97%). The prevalences of vitamin A and vitamin D deficiency in enrolled children were 2.19% (64/2 924) and 3.52% (103/2 924), respectively, and the insufficiency rates were 29.27% (856/2 924) and 22.20% (649/2 924), respectively. Children with both vitamin A and vitamin D deficiencies or insufficiencies were found in 10.50% (307/2 924) of cases. Both vitamin A ( χ2=7.91 and 8.06, both P=0.005) and vitamin D ( χ2=71.35 and 115.10, both P<0.001) insufficiency rates were higher in children aged 3-<5 and 5-<7 years than those in children aged 2-<3 years. Vitamin A and vitamin D supplementation in the last 3 months was a protective factor for vitamin A and D deficiency and insufficiency, respectively ( OR=0.68 and 0.22, 95% CI 0.49-0.95 and 0.13-0.40, both P<0.05). The rates of vitamin A and D insufficiency was higher in children with annual household incomes <60 000 RMB than in those with annual household incomes ≥60 000 RMB ( χ2=34.11 and 10.43, both P<0.01). Northwest and Southwest had the highest rates of vitamin A and vitamin D insufficiency in children aged 2-<7 yeas, respectively ( χ2=93.22 and 202.54, both P<0.001). Conclusions:Among 20 cities in China, children aged 2-<7 years experience high rates of vitamin A and vitamin D insufficiency, which are affected by age, family economic level, vitamin A and vitamin D supplementation, and regional economic level. The current results suggest that high level of attention should be paid to vitamin A and vitamin D nutritional status of preschool children.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.