With a view to some common problems and characteristics of medicine graduate students education,how to intensify the moral education work of medicine graduate students under the new situation is researched and discussed,and some countermeasures and suggestion are put forward in this article.to systemically organize the ideological and political education work for freshmen;to exert the theory guidance of medical ethnics in moral education of graduate students;to intensify education and management in graduate students,and fully play the education role in management and serving;to adopt detailed measures to promote the performance of tutors and specialty departments in teaching,scientific research and academic education;to include medical social practice of poor-salvation into moral education program for medicine graduate students.

Starting from the practices of grade protection assessment on the information system of Peking Union Medical College Hos -pital, the paper introduces the information system grade and assessment contents and processes , discusses common problems found in specific work and risk analysis approaches so as to provide a reference for work related to information security .

Objective To observe the clinical efficacy of Wendan decoction in the treatment of phlegm-heat accumulation type acie vulgaris.Methods 62 patients with phlegm-heat accumulation type ache vulgaris were randomly divided into a treatment group and a control group randomly,with 31 patients in each group.The control group was given dietary advice and skin cleansing techniques,while the treatment group was given oral administration of Wendan decoction on the basis of the control group.Results ①skin damage comparison:after the treatment,skin damage symptoms such as tenderness (0.71 ±0.32),redness (0.47±0.63),cyst(0.59±0.53),and tubercle (0.63±0.54) in the treatment group were significantly improved than the control group [the values were (1.12±0.32),(1.44±0.21),(1.40±0.36),(1.18±0.43),respectively] (P＜0.05).②symptoms score comparison:The symptoms score in the treatment group after the treatment (42.95±1.53) was significantly improved than that before the treatment (52.89± 1.98),(P＜0.05),and also obviously better than the control group after the treatment.③clinical efficacy comparison:Total efficacy was 96.77％ in the treatment group and 54.83％ in the control group,showing marked difference(P＜0.05).Conclusion Wendan decoction is effective in treating phlegm-heat accumulation type acne vulgaris.

Purpose/Significance To analyze the risks of near-source cyber-attacks faced by hospitals,and to propose counter-measures.Method/Process Combined with practical work experience,the risk analysis of hospital network architecture,on-site physi-cal environment,personnel behavior and other aspects is carried out from the perspective of near-source cyber-attacker.Then,from the perspective of defender and in combination with regulatory requirements and technical practices,countermeasures and suggestions are proposed.Result/Conclusion 5 main risks are identified,including wireless LAN cracking,exposed wired network sockets,improper configuration of self-service machines,poisoning & phishing,and sensitive information leakage.5 preventive suggestions are put for-ward,including strengthening Wi-Fi management,full coverage of network terminal access,multi-department collaboration in self-service device management,disabling mobile storage media on Intranet terminals,and updating cyber-security education.

Objective:Hybrid attention U-net (HA-U-net) neural network was designed based on U-net for automatic delineation of craniospinal clinical target volume (CTV) and the segmentation results were compared with those of U-net automatic segmentation model.Methods:The data of 110 craniospinal patients were reviewed, Among them, 80 cases were selected for the training set, 10 cases for the validation set and 20 cases for the test set. HA-U-net took U-net as the basic network architecture, double attention module was added at the input of U-net network, and attention gate module was combined in skip-connection to establish the craniospinal automatic delineation network model. The evaluation parameters included Dice similarity coefficient (DSC), Hausdorff distance (HD) and precision.Results:The DSC, HD and precision of HA-U-net network were 0.901±0.041, 2.77±0.29 mm and 0.903±0.038, respectively, which were better than those of U-net (all P<0.05). Conclusion:The results show that HA-U-net convolutional neural network can effectively improve the accuracy of automatic segmentation of craniospinal CTV, and help doctors to improve the work efficiency and the consistent delineation of CTV.

Objective To investigate the role of STAT3 transcription factor in IL-6 inducing epithelial mesenchymal transition (EMT) of human peritoneal mesothelial cells (HPMCs).Methods HPMCs were cultured in vitro and grouped.(1) According to the stimulation time with 50 μg/L IL-6,HPMCs were divided into 24,48,72 h groups.(2) HPMCs were grouped 50,100 μg/L according to IL-6 concentration.(3) HPMCs were respectively divided into control group,IL-6 group,empty vector group,empty vector+IL-6 group,virus infecting group and virus infecting+IL-6 group,as lenti-virus vector mediating RNA interference targeting STAT3 was applied.The mRNA expressions of E-cadherin,α-smooth muscle actin (α-SMA) and vascular endothelial growth factor (VEGF) were detected by real time PCR;their protein expressions and the phosphorylation of JAK2 and STAT3 were detected by Western blotting;the expressions and distribution of E-cadherin and α-SMA were observed by immunofluorescence.Results Compared with those in control group,the expression of E-cadherin decreased remarkably (P ＜ 0.05),while the expressions of VEGF and α-SMA and the ratio of phosphorylated (p)-JAK2/JAK2 and p-STAT3/STAT3 increased significantly in IL-6 concentration groups and stimulation time groups (all P ＜ 0.05),which had been dose and time dependent.Compared with empty vector+IL-6 group,virus infecting+IL-6 group had decreased expressions of VEGF and α-SMA,while increased expressions of E-cadherin (all P ＜ 0.05).Conclusions IL-6 can promote VEGF and α-SMA gene expression and prevent E-cadherin gene expression by STAT3,which involves in EMT of peritoneum fibrosis.While STAT3 gene is knocked-down,EMT is inhibited in HPMCs.

The achievements of the national health informatization of China have been remarkable while still facing various challenges,including infrastructure,overall coordination,technical specifications,network security,and public health risks.By conducting a comparative study of the information management of the top 5 best hospitals in the world in 2021,it identifies that for the future of hospital information construction,there is a need for deepening the application of core scenarios such as electronic medical records,mobile medical care,and telemedicine.Further-more,there is a need to expand technology development at the terminal layer,network layer and platform layer.The key to accelerating the construction of national health information is closely integrating the application require-ments of hospital information management with the development trend of intelligent technology.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.