Objective To assess the accuracy of pN staging prediction in papillary thyroid carcinoma (PTC) using ultrasound radiomics and deep neural networks (DNN). Methods A retrospective analysis was conducted on 375 patients with pathologically confirmed PTC, comprising 261 cases in the training set and 114 in the test set. Staging was categorized as pN0 (no cervical lymph node metastasis), pN1a (central neck lymph node metastasis), and pN1b (lateral neck lymph node metastasis). An ultrasound physician manually segmented the regions of interest (ROIs) for PTC, extracting 1899 radiomic features. Dimensionality reduction was performed using the least absolute shrinkage and selection operator (LASSO) regression. A DNN model for predicting PTC pN staging was developed using the H2O deep learning platform, trained on the training set, and validated on the test set to assess the accuracy of the optimal model. Results A total of 153 patients were in the pN0 stage, 131 patients in the pN1a stage, and 91 patients in the pN1b stage. LASSO regression selected 15 radiomic features for each PTC. The optimal DNN model, constructed using these 15 features, achieved accuracies of 85.82% on the training set and 81.57% on the test set. Conclusion Ultrasound radiomics of PTC demonstrates high accuracy in predicting pN staging and shows potential for automating N staging in patients.

Objective To analyze the clinical and pathogenic characteristics,as well as influencing factors for the prognosis of patients with Candida bloodstream infection(CBSI).Methods Clinical data of 47 CBSI patients in a hospital from January 2015 to September 2024 were collected.Distribution of departments and infection strains,an-timicrobial resistance,and influencing factors for the poor prognosis of patients were analyzed.Results A total of 51 strains of Candida were detected from 47 CBSI patients,mainly from the intensive care unit(ICU;n=25,53.2％),department of intestinal fistula surgery(n=8,17.0％),and department of respiratory medicine(n=4,8.6％),et al.The main detected pathogens were Candida albicans(n=29,56.9％),Candida tropicalis(n=7,13.7％),Candida glabrata(n=6,11.8％),and Candida parapsilosis(n=6,11.8％).Resistance rate of Candida albi-cans to fluconazole was 11.5％(3/26).According to the prognosis results,patients were divided into a good prog-nosis group(n=26,55.3％)and a poor prognosis group(n=21,44.7％).Univariate analysis showed statistically significant differences between patients in the good prognosis group and the poor prognosis group in terms of abso-lute neutrophil count,ICU admission,mechanical ventilation,tracheal intubation,gastrointestinal hemorrhage/per-foration,and surgical treatment(lesion clearance,drainage or unblocking for obstruction)(all P＜0.05).Prelimi-nary multivariate logistic regression analysis showed that gastrointestinal hemorrhage/perforation was a potential risk factor for the poor prognosis in CBSI patients(OR=11.156,95％CI:1.434-86.809,P=0.021).Conclusion The detected CBSI strains are mainly Candida albicans,and gastrointestinal hemorrhage/perforation may be one of the potential risk factors affecting the prognosis of CBSI patients.These patients are generally in critical condition and should be detected and treated as early as possible to improve their prognosis.Due to the small amount of speci-mens,further research is still needed for confirmation.

Objective:To analyze the reasons for the low results obtained by the determination of isosorbide dini-trate tablets content using the methods in the Chinese Pharmacopoeia and to improve the content determination method.Methods:The content of isosorbide dinitrate in 10 tablets was determined by high-performance liquid chromatography(HPLC)using a Phenomenex Luna C18 column(4.6 mm ×250 mm,5 μm)for separation,with a mobile phase of methanol-water(54∶46),a flow rate of 1.0 mL·min-1,and a UV detector set at a wavelength of 230 nm.The average content of 10 tablets was taken as the result of the content determination.Results:Isosor-bide dinitrate showed good linearity in the range of 49.22 to 1 230.5 μg·mL-1(r=0.999 96);the relative stand-ard deviation was 0.11％,the recovery rate was 96.0％,and the RSD was 1.5％(n=9).Conclusion:This method simplifies the experimental operations and steps,can eliminate the interference factors introduced by the original method,and improves the accuracy of the detection results.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

Objective:To examine the interaction between interpersonal issues and eating behavior problems among college freshmen, and to identify core psychological factors and potential pathways that drive eating behavior.Methods:In October 2019, a total of 5 073 college freshmen from a university in Shanghai were recruited as participants. Their general demographic data were collected, and they were evaluated using the eating disorder examination questionnaire 6.0 (EDE-Q 6.0) and inventory of interpersonal problems-32(IIP-32).Descriptive analyses were performed using SPSS 24.0 software.A regularized partial correlation network was constructed using the graphical least absolute shrinkage and selection operator (GLASSO) in R(v4.2.3) software. A Bayesian network analysis (BNA) was conducted to build a directed network, aiming to identify core driving factors and key psychological mechanisms.Results:Regularized partial correlation network identified shape concern as the most central node, with the highest strength centrality(1.32) and expected influence(1.20). It showed the highest bridge strength with dominance/control (0.22, 0.21), linking the interpersonal and eating behavior modules. Directed network analysis indicated that low self-confidence was the upstream node influencing social inhibition and cold/ distant relationships, indirectly affecting eating disorder.Within the eating module, shape concern and weight concern predicted eating preoccupation and dietary restraint, forming a pathway structure from eating cognition to behavior.The network demonstrated good stability (CS-coefficient=0.75).Conclusion:Shape concern is the core mechanism underlying eating problems in college freshmen. Low self-confidence contributes indirectly via interpersonal dysfunction. Dominance/control and shape concern bridge interpersonal and eating domains, providing key targets for early prevention and intervention.

Objective To analyze the clinical and pathogenic characteristics,as well as influencing factors for the prognosis of patients with Candida bloodstream infection(CBSI).Methods Clinical data of 47 CBSI patients in a hospital from January 2015 to September 2024 were collected.Distribution of departments and infection strains,an-timicrobial resistance,and influencing factors for the poor prognosis of patients were analyzed.Results A total of 51 strains of Candida were detected from 47 CBSI patients,mainly from the intensive care unit(ICU;n=25,53.2％),department of intestinal fistula surgery(n=8,17.0％),and department of respiratory medicine(n=4,8.6％),et al.The main detected pathogens were Candida albicans(n=29,56.9％),Candida tropicalis(n=7,13.7％),Candida glabrata(n=6,11.8％),and Candida parapsilosis(n=6,11.8％).Resistance rate of Candida albi-cans to fluconazole was 11.5％(3/26).According to the prognosis results,patients were divided into a good prog-nosis group(n=26,55.3％)and a poor prognosis group(n=21,44.7％).Univariate analysis showed statistically significant differences between patients in the good prognosis group and the poor prognosis group in terms of abso-lute neutrophil count,ICU admission,mechanical ventilation,tracheal intubation,gastrointestinal hemorrhage/per-foration,and surgical treatment(lesion clearance,drainage or unblocking for obstruction)(all P＜0.05).Prelimi-nary multivariate logistic regression analysis showed that gastrointestinal hemorrhage/perforation was a potential risk factor for the poor prognosis in CBSI patients(OR=11.156,95％CI:1.434-86.809,P=0.021).Conclusion The detected CBSI strains are mainly Candida albicans,and gastrointestinal hemorrhage/perforation may be one of the potential risk factors affecting the prognosis of CBSI patients.These patients are generally in critical condition and should be detected and treated as early as possible to improve their prognosis.Due to the small amount of speci-mens,further research is still needed for confirmation.

Objective:To analyze the reasons for the low results obtained by the determination of isosorbide dini-trate tablets content using the methods in the Chinese Pharmacopoeia and to improve the content determination method.Methods:The content of isosorbide dinitrate in 10 tablets was determined by high-performance liquid chromatography(HPLC)using a Phenomenex Luna C18 column(4.6 mm ×250 mm,5 μm)for separation,with a mobile phase of methanol-water(54∶46),a flow rate of 1.0 mL·min-1,and a UV detector set at a wavelength of 230 nm.The average content of 10 tablets was taken as the result of the content determination.Results:Isosor-bide dinitrate showed good linearity in the range of 49.22 to 1 230.5 μg·mL-1(r=0.999 96);the relative stand-ard deviation was 0.11％,the recovery rate was 96.0％,and the RSD was 1.5％(n=9).Conclusion:This method simplifies the experimental operations and steps,can eliminate the interference factors introduced by the original method,and improves the accuracy of the detection results.

Objective:To investigate the current status of real time application of domestic and imported medical device in the real-world in Liaoning province,and provide data support for the promotion and application of domestic medical device.Methods:Data of the usage of medical device were collected from 77 medical institutions at all levels in 9 urban-rural demonstration regions with representativeness in Liaoning Province from November 2017 to June 2020.Descriptive analysis was used to characterize the distribution of medical device,which data were collected in urban-rural medical institutions at all levels in Liaoning Province.The total amount of receiving test of medical device,and the tested amount of each device in each month in urban-rural medical institutions at all levels were calculated.The median value of monthly average number of persons who received test of various kind of domestic and imported medical device in each month in hospitals with third level and secondary level were also calculated.Results:The total number of device that were collected from 77 medical institutions in 9 demonstration regions in Liaoning province was 325,among of which there were 153 domestic device(accounting for 47.1%)and 172 imported devices(accounting for 52.9%).A total of 6,261,000 person-time valid records were collected from 77 medical institutions,which average test number was 5,562 person-time in each device and each month.The total number of person-times of domestic device in diagnosis and treatment was 1,380,000 person-times(accounting for 22.0%),and that of imported devices was 4,881,000 person-times(accounting for 78.0%).The average test number of each device of domestic device in each month was 2,334 person-times(accounting for 42.0%),and that of imported device in each month was 3,228 person-times(accounting for 58.0%).In urban regions,imported device were dominant,while domestic medical device were dominant in rural regions in Liaoning province.The overall usage frequency of imported medical device was higher in hospitals with third level or secondary level,while the usage frequency of domestic medical device was higher in grassroots medical institutions.Conclusion:There are differences in the real time usage between domestic and imported medical device among 77 medical institutions at all levels in 9 demonstration regions in Liaoning province.Urban regions mainly tend to use imported device,while rural regions more tent to use domestic device.

Objective:To investigate the current status of real time application of domestic and imported medical device in the real-world in Liaoning province,and provide data support for the promotion and application of domestic medical device.Methods:Data of the usage of medical device were collected from 77 medical institutions at all levels in 9 urban-rural demonstration regions with representativeness in Liaoning Province from November 2017 to June 2020.Descriptive analysis was used to characterize the distribution of medical device,which data were collected in urban-rural medical institutions at all levels in Liaoning Province.The total amount of receiving test of medical device,and the tested amount of each device in each month in urban-rural medical institutions at all levels were calculated.The median value of monthly average number of persons who received test of various kind of domestic and imported medical device in each month in hospitals with third level and secondary level were also calculated.Results:The total number of device that were collected from 77 medical institutions in 9 demonstration regions in Liaoning province was 325,among of which there were 153 domestic device(accounting for 47.1%)and 172 imported devices(accounting for 52.9%).A total of 6,261,000 person-time valid records were collected from 77 medical institutions,which average test number was 5,562 person-time in each device and each month.The total number of person-times of domestic device in diagnosis and treatment was 1,380,000 person-times(accounting for 22.0%),and that of imported devices was 4,881,000 person-times(accounting for 78.0%).The average test number of each device of domestic device in each month was 2,334 person-times(accounting for 42.0%),and that of imported device in each month was 3,228 person-times(accounting for 58.0%).In urban regions,imported device were dominant,while domestic medical device were dominant in rural regions in Liaoning province.The overall usage frequency of imported medical device was higher in hospitals with third level or secondary level,while the usage frequency of domestic medical device was higher in grassroots medical institutions.Conclusion:There are differences in the real time usage between domestic and imported medical device among 77 medical institutions at all levels in 9 demonstration regions in Liaoning province.Urban regions mainly tend to use imported device,while rural regions more tent to use domestic device.