Objective:A new algorithm based on Hough transform (HT) was proposed to improve the accuracy and stability of the film image analysis of Automatic Quality Assurance (AQA) test, and to explore the influence of the resolution of film image on the test results.Methods:Nine pairs of films were obtained for AQA modules in this study. Firstly, the median filter was used to preprocess the grayed-out film image to remove noise interference. Then, a global threshold was utilized to binarize the image. The images were edge-detected and the film edge line was extracted by Hough transform. The film image was transformed to the correct position. Finally, the edge of the field shadow circle and the shadow circle of the tungsten ball were extracted by the edge detection method and Hough transform. The radial error was finally obtained by analyzing the concentricity.Results:There was no significant difference in the accuracy between the test results yielded by the HT method and the AQA software ( P>0.05). The difference in the standard deviation of the test results was statistically significant ( P=0.027), indicating that the algorithm increased the stability while ensuring the accuracy of film analysis. Increasing the resolution of film scanning failed to significantly improve the accuracy and stability of film analysis in both two methods. Conclusions:The algorithm used in this study can eliminate the human error caused by film scanning placement while ensuring the accuracy of film analysis, providing a more stable way for the AQA test of the CyberKnife system.

Patients with multiple diseases have a variety of medical needs,especially in elderly patients with senile syndrome.The conventional specialty care model is not suitable for patients with comorbidities and multidisciplinary intervention and management are required.The article introduces the concept and practice of a general practitioner (GP)-led multidisciplinary team in management of comorbidities in the community.Using one case of elderly patient with multiple diseases as example,the article shows how this model worked and how the patient benefited,and the related issues and reflections are also discussed in the article.

Objective:To investigate changes in the self-management ability of chronic diseases in elderly diabetic patients during the novel coronavirus pneumonia pandemic.Methods:A multi-stage cluster sampling method was used to retrospectively collect diabetes management information from elderly diabetic patients treated in five community health service centers in Beijing in June 2022, including 295 elderly diabetic patients, and changes in management of their self-care practices such as diet, exercise, medical treatment and medication, blood glucose monitoring, complication management, and psychological states before and after the outbreak(2019-2022)were analyzed.Results:In 295 elderly diabetic patients, increased glycated hemoglobin( P<0.05)and body mass index(BMI)( P<0.05)were observed during the pandemic.Among 115 patients with underlying diabetic complications, 75.7%(87)of patients had worsening symptoms of chronic complications of diabetes and a shortened weekly exercise time[124(60, 300)min vs.140(60, 300)min, Z=6.00, P<0.05].The number of weekly blood glucose tests was reduced(5.6±4.2 vs.5.8±4.3, t=3.17, P<0.05).The weekly time spent interacting with family members increased( P<0.05).There were no significant differences in body weight, sleep time, and number of times of forgetting to take medication per week before and after the outbreak( P>0.05).21.0% of patients had a decrease in the number of hospital visits, and 72.2% of patients experienced low mood and increased adverse psychological emotions during the pandemic. Conclusions:The pandemic has had a negative impact on the management of chronic diseases in elderly diabetic patients, mainly reflected in the reduction of exercise time and blood glucose monitoring.It also affected regular hospital visits of patients, resulting in negative psychological emotions, poor blood glucose control, increased BMI, and aggravated symptoms of chronic complications, compared with their pre-pandemic conditions.

In order to improve the professional competence of in-service general practitioners and improve the effectiveness of standardized residency training, it is necessary to carry out training with the specific problems encountered in the practice. Taking Gaobeidian Community Health Service Center as an example, the characteristics, process and precautions of the general practice case discussion model based on the real scene of the community health institutions are introduced in the article. It would provide reference for improving the teaching effectiveness and efficiency in the training base of general practice.

OBJECTIVE To explore the extraction process of volatile oil from the stems， leaves and roots of Glehnia littoralis， analyze the chemical components of the volatile oil from the stems， leaves and roots of G. littoralis， and preliminarily evaluate its in vitro antifungal activity. METHODS Based on the steam distillation method， single factor test and orthogonal experiment were conducted to optimize the extraction method of volatile oil from the stems， leaves and roots of G. littoralis. The chemical components of the volatile oil from the stems， leaves and roots of G. littoralis were identified by using gas chromatography-mass spectrometry （GC-MS) technology and their relative contents were calculated. The antifungal activity of volatile oils from the stems， leaves and roots of G. littoralis against Fusarium solani， Fusarium incarnatum， Fusarium oxysporum， Aspergillus parasiticus and Aspergillus flavus was determined by paper diffusion method. RESULTS The optimal extraction process of G. littoralis was solid-liquid ratio of 1∶15， distillation time of 5 hours， and KCl concentration of 15%. Eleven components were identified from the volatile oil of the stems and leaves of G. littoralis， and a total of eight components were identified from the volatile oil of the roots. Ginsenethinol was a common component in the volatile oil from the stems， leaves and roots of G. littoralis， its contents in the stems and leaves， roots were 38.21% and 74.02%， respectively. The volatile oil from the stems， leaves and roots of G. littoralis had a certain E-mail：zwhjzs@126.com inhibitory effect on F. solani， F. incarnatum， F. oxysporum， A. parasiticus and A. flavus， especially volatile oil from the stems and leaves. CONCLUSIONS There is a significant difference in chemical components of the volatile oil between the roots， stems and leaves of G. littoralis， both of which have certain in vitro antifungal activity.