Objective This study aims to explore the relationships between professional identity and work performance of medical staff in district public hospitals and to test the mediating role of public service motivation,thereby providing evidence for improving work performance of medical staff.Methods From November 2024 to January 2025,a convenience sampling method was used to select 430 medical staff from four tertiary public hospitals in Bao'an District,Shenzhen.A self-designed general-in-formation questionnaire,along with standardized scales for professional identity,public-service motivation,and job performance,was administered and the resulting data were analyzed.Results Significant differences were identified in professional identity a-mong medical staff of different ages,professional titles,working years,monthly income and marital status(P＜0.05).Public service motivation varied significantly among medical staff of different ages,professional titles,positions,working years,monthly income and marital status(P＜0.05).Significant differences were also observed in work performance of medical staff of different ages,professional titles,positions,working years and marital status(P＜0.05).The three variables of professional identity,public service motivation and work performance were positively correlated between medical staff and their dimensions(r=0.387～0.771,P＜0.01).The mediation effect of public service motivation between professional identity and job performance was signifi-cant,with a mediation effect value of 0.403(95％CI:0.389 to 0.572)and an effect ratio of 72.06％.Conclusion Profession-al identity,public service motivation,and work performance among medical staff need to be improved.The work performances of medical staff of different types are affected by demographic variables.The professional identity of medical staff can affect work performance directly and indirectly through the partial intermediary role of public service motivation.

Objective This study aims to explore the relationships between professional identity and work performance of medical staff in district public hospitals and to test the mediating role of public service motivation,thereby providing evidence for improving work performance of medical staff.Methods From November 2024 to January 2025,a convenience sampling method was used to select 430 medical staff from four tertiary public hospitals in Bao'an District,Shenzhen.A self-designed general-in-formation questionnaire,along with standardized scales for professional identity,public-service motivation,and job performance,was administered and the resulting data were analyzed.Results Significant differences were identified in professional identity a-mong medical staff of different ages,professional titles,working years,monthly income and marital status(P＜0.05).Public service motivation varied significantly among medical staff of different ages,professional titles,positions,working years,monthly income and marital status(P＜0.05).Significant differences were also observed in work performance of medical staff of different ages,professional titles,positions,working years and marital status(P＜0.05).The three variables of professional identity,public service motivation and work performance were positively correlated between medical staff and their dimensions(r=0.387～0.771,P＜0.01).The mediation effect of public service motivation between professional identity and job performance was signifi-cant,with a mediation effect value of 0.403(95％CI:0.389 to 0.572)and an effect ratio of 72.06％.Conclusion Profession-al identity,public service motivation,and work performance among medical staff need to be improved.The work performances of medical staff of different types are affected by demographic variables.The professional identity of medical staff can affect work performance directly and indirectly through the partial intermediary role of public service motivation.

Objective:To investigate the role of three-dimensional dose distribution-based deep learning model in predicting distant metastasis of head and neck cancer.Methods:Radiotherapy and clinical follow-up data of 237 patients with head and neck cancer undergoing intensity-modulated radiotherapy (IMRT) from 4 different institutions were collected. Among them, 131 patients from HGJ and CHUS institutions were used as the training set, 65 patients from CHUM institution as the validation set, and 41 patients from HMR institution as the test set. Three-dimensional dose distribution and GTV contours of 131 patients in the training set were input into the DM-DOSE model for training and then validated with validation set data. Finally, the independent test set data were used for evaluation. The evaluation content included the area under receiver operating characteristic curve (AUC), balanced accuracy, sensitivity, specificity, concordance index and Kaplan-Meier survival curve analysis.Results:In terms of prognostic prediction of distant metastasis of head and neck cancer, the DM-DOSE model based on three-dimensional dose distribution and GTV contours achieved the optimal prognostic prediction performance, with an AUC of 0.924, and could significantly distinguish patients with high and low risk of distant metastasis (log-rank test, P<0.001). Conclusion:Three-dimensional dose distribution has good predictive value for distant metastasis in head and neck cancer patients treated with IMRT, and the constructed prediction model can effectively predict distant metastasis.

Course paper grading often involves subjective factors. Teachers may introduce biases into the grading due to their preferences for certain topics, resulting in inaccurate grading results that fail to reflect the true abilities of students. Taking the grading results of the "Clinical Pharmacology" course as an example, this article investigates the analytical method for detecting topic bias in the course paper grading. A comparative analysis was performed on the differences in the scores between different topics graded by the same teacher and between the same topic graded by different teachers by calculating the vertical bias factor and the horizontal bias factor, and a scientific and feasible analytical method was established. This method can help teachers quickly discover biases in their course paper grading, thereby making the grading more objective and accurate.

Objective:To investigate the neuroprotective effect of synthetic triterpenoid(CDDO-Im)on ischemic stroke rats and its influence on inflammatory response by activating the nuclear factor 2-related factor 2(Nrf2)/antioxidant response elements(ARE)signaling pathway.Methods:SD rats were divided into sham group(S group),MCAO group(M group)and CDDO-Im inter-vention group(M+C group).The middle cerebral artery occlusion(MCAO)was used in M group and M+C group to establish ischemic stroke model in rats,and sham operation was used in S group to control.After operation,M+C group was injected with CDDO-Im(64 μg/300 g)every12 hours via caudal vein,S group and M group were given the same amount of normal saline.After 3 days,the nerve function of rats was measured by Longa score,and the area of cerebral infarction was evaluated by 2,3,5-triphenyltetrazolium chlo-ride(TTC)staining.The expressions of Nrf2,heme oxygenated-1(HO-1),ionic calcium binding adaptor molecule 1(Iba1),IL-1β and IL-4 protein were detected by Western blot.Results:Compared with S group,M group rats showed significant neurologic deficit and cerebral infarction area,and the expression of Nrf2 protein had no significant difference,and the expression levels of HO-1,Iba1,IL-1β and IL-4 protein were increased significantly(P<0.05).Compared with M group,the neurological deficit score,cerebral infarction area,the expression levels of Iba1 and IL-1β protein were decreased significantly(P<0.05),while Nrf2,HO-1 and IL-4 pro-tein expression increased significantly in M+C group(P<0.05).Conclusion:CDDO-Im may activate the Nrf2/ARE signaling pathway and play a neuroprotective role,which may be related to the modulation of microglia to M2 and the regulation of inflammatory response.

Objective:To investigate the protective effect of overexpressed tripartite motif containing (TRIM27) on severe acute pancreatitis (SAP) in mice and its possible mechanism.Methods:Twenty-four mice were randomly divided into the sham operation + control virus group (AAV-GFP group), sham operation + overexpression of TRIM27 group (AAV-TRIM27 group), SAP + control virus group (SAP+AAV-GFP group), SAP + overexpression of TRIM27 group (SAP + AAV-TRIM27 group), with 6 mice in each group. SAP model of mice was established by intraperitoneal injection of L-arginine (4 mg/kg). The sham operation group was injected with equal volume of normal saline, and the virus group was injected with control or TRIM27 overexpression adeno-associated virus (2×10 11 μg/ per mice). The serum and pancreatic tissue samples were collected 72 h after modeling. The levels of serum amylase, lipase, tumor necrosis factor α (TNF-α), interleukin-1b (IL-1b), IL-6, macrophage chemoattractant protein-1 (MCP-1) and the expression of malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione (GSH) in pancreatic tissue were detected by enzyme-linked immunosorbent assay. Hematoxylin eosin staining was used to observe the pathological damage of pancreatic tissue. The expressions of myeloperoxidase (MPO) and Ly6g positive inflammatory cells in mouse pancreas were observed by immunohistochemistry. The expression of p-p65, p65, p-ASK1, ASK1, p-JNK, JNK, p-p38 and p38 in pancreatic tissue were detected by Western blot. Results:The expression of TRIM27 in pancreatic of mice was significantly down regulated after SAP ( P<0.05); after overexpression of TRIM27 by adeno-associated virus, the expression of TRIM27 in mouse pancreas was significantly up-regulated ( P<0.05). There was no significant difference in the indexes of mice between the AAV-GFP group and AAV-TRIM27 group ( P>0.05). Compared with the SAP + AAV-GFP group, the levels of serum amylase, lipase, TNF-α, IL-1b, IL-6 and MCP-1 in mice of the SAP + AAV-TRIM27 group were significantly decreased, MDA in pancreatic tissue was decreased, SOD and GSH were increased, MPO and Ly6g inflammatory cells were significantly decreased, and p-p65, p-ASK1, p-JNK, and p-p38 protein expression were down regulated. Conclusions:Overexpression of TRIM27 alleviates SAP in mice by inhibiting inflammatory response and oxidative stress, and its mechanism may be through inhibiting NFκB/MAPK signaling pathway.

Objective:To investigate the predictive value of dynamic platelet and hemagglutination-related parameters in patients with acute pancreatitis (AP).Methods:The patients admitted to the Department of Emergency Surgery in the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2020 were analyzed. According to the inclusion criteria and exclusion criteria, patients with AP were retrospectively enrolled. According to the Chinese Guidelines for the Diagnosis and Treatment of Acute Pancreatitis (Shenyang, 2019), the patients were divided into two groups: severe acute pancreatitis (SAP group) and non-severe acute pancreatitis (non-SAP group) [including mild acute pancreatitis (MAP) and moderate severe acute pancreatitis (MSAP)]. A normal distribution of the maximum and mean aggregation rates of dynamic platelets (arachiidonic acid), plateletcrit (PCT) and bedside index for severity in acute pancreatitis (BISAP) scores and other measurement data were tested by t test, while measurement data of prothrombin time (PT), fibrinogen (FIB) and D-dimer that did not conform to normal distribution were tested by Mann-Whitney U test. χ 2 test was used for the counting data such as sex, age and etiology of patients in the two groups. The prognostic value of statistically significant indicators for non-SAP group and SAP group was further analyzed by receiver operating characteristic (ROC) curve. Results:A total of 146 patients with AP were enrolled, including 50 patients in SAP group and 96 in non-SAP group. The maximum and average aggregation rates of dynamic platelet (aracidonic acid) in the SAP group were (71.76±17.62) % and (67.91±18.10) %, PT (12.02±1.33) s, FIB (4.76±2.08) g/L, D-dimer (3.75±6.04) μg/L, PCT (0.23±0.08) %, and BISAP scores (1.42±1.18), which were all significantly higher than those in the non-SAP group [the maximum and average aggregation rates of dynamic platelet (arachiidonic acid) (46.65±20.11) % and (42.50±20.71) %, PT (11.50±1.51) s and FIB (3.91±1.48) g/L, D-dimer (1.00±1.37) μg/L, PCT (0.19±0.06) %, BISAP scores (0.45±0.66)] (all P<0.05). According to area under the ROC curve, the maximum and average aggregation rates of dynamic platelets (arachiidonic acid) in serum of patients with SAP were 0.83 and 0.82, respectively, and the sensitivities were 0.56 and 0.68, respectively. The specificity was 0.99 and 0.81, respectively, which was better than PT, FIB, D-dimer, PCT and BISAP scores in predicting the severity of AP. Conclusions:The maximum and average aggregation rates of dynamic platelets (arachidonic acid), PT, FIB, D-dimer, PCT and BISAP scores can be used as predictors of the severity of acute pancreatitis. The maximum and average aggregation rates of dynamic platelets (arachiidonic acid) were the best in predicting the severity of AP.

Objective:To establish an automatic segmentation network based on different receptive fields for gross target volume (GTV) and organs at risk in patients with nasopharyngeal carcinoma.Methods:Radiotherapy data of 100 cases of nasopharyngeal carcinoma including CT images and GTV and organs at risk delineated by the physicians were collected. Ninety plans were randomly selected as the training dataset, and the other 10 plans as the validation dataset. Firstly, the images were subject to three data augmentation methods including center cropping, vertical flipping and rotation (-30°to 30°), and then input into MA_net networks proposed in this study for training. The model performance of networks was assessed by the number of network parameters (NP), floating-point number (FPN), the running memory (RM) and Dice index (DI), and eventually compared with DeeplabV3+ , PSP_net, UNet+ + and U_Net networks.Results:When the input image was in the size of 240×240, MA_net had a NP of 23.20%, 20.10%, 25.55% and 27.11% of these 4 networks, 50.02%, 19.86%, 6.37% and 13.44% for the FPN, 40.63%, 23.60%, 11.58% and 14.99% for the RM, respectively. For the DI of GTV, MA_net was 1.16%, 2.28%, 1.27% and 3.59% higher than these 4 networks. For the average DI of GTV and OAR, MA_net was 0.16%, 1.37%, 0.30% and 0.97% higher than these 4 networks.Conclusion:Compared with those four networks, the proposed MA_net network has slightly higher Dice index with fewer parameters, lower FPN and smaller RM.

Objective:To establish a correlation model between MRI and CT images to generate synthetic-CT (sCT) of head and neck cancer during MRI-guided radiotherapy by using generative adversarial networks (GAN).Methods:Images and IMRT plans of 45 patients with nasopharyngeal carcinoma were collected before treatment. Firstly, the MRI (T1) and CT images were preprocessed, including rigid registration, clipping, background removal and data enhancement, etc. Secondly, the cases were trained by GAN, of which 30 cases were randomly selected and put into the network as training set images for modeling and learning, and the other 15 cases were used for testing. The image quality of predicted sCT and real CT were statistically compared, and the dose distribution recalculated upon predicted sCT was statistically compared with that of real planned dose distribution.Results:The mean absolute error of the predicted sCT of the testing set was (79.15±11.37) HU, and the SSIM value was 0.83±0.03. The MAE values of dose distribution difference at different regional levels were less than 1% compared to the prescription dose. The gamma passing rate of the sCT dose distribution was higher than 92% and 98% under the 2mm/2% and 3mm/3% criteria.Conclusions:We have successfully proposed and realized the generation of sCT for head and neck cancer using GAN, which lays a foundation for the implementation of MRI-guided radiotherapy. The comparison of image quality and dosimetry shows the feasibility and accuracy of this method.

Objective:To compare the accuracy and generalized robustness of three predictive models of knowledge-based treatment strategies for radiotherapy for optimized model selection.Methods:The clinical radiotherapy plans of 45 prostate cancer (PC) cases and 25 nasopharyngeal cancer (NPC) cases were collected, and analyzed using three models (Z, L and S model), proposed by Zhu et al, Appenzoller et al and Shiraishi et al, respectively, to predict the dose-volume histogram (DVH) of bladder and rectum on PC cases and that of left and right parotid on NPC cases. The prediction error was measured by the difference of area under the predicted DVH and the clinical DVH curves (|V (pre_DVH)-V (clin_DVH)|), where a smaller prediction error implies a greater prediction accuracy. The accuracies of these three models were compared on the single organ at risk (OAR), and the generalized robustness of models was evaluated and compared by calculating the standard deviation of the prediction accuracy on different OAR. Results:For bladder and rectum, the prediction error of L model (0.114 and 0.163, respectively) was significantly higher than those values of Z and S models (≤0.071, P<0.05); for left parotid gland, the predicted error of S model (0.033) did not present significant difference from those values of Z and L models (≤0.025, P>0.05); for right parotid gland, S model (0.033) demonstrated significantly higher prediction error than those of Z and L models (≤0.028, P<0.05). Regarding different OAR, S model showed a lower standard deviation of prediction accuracy when comparing to Z and L models (0.016, 0.018 and 0.060, respectively). Conclusions:In the prediction of DVH in bladder and rectum of PC, Z and S models were more accurate than L model. In contrast, Z and L models demonstrated higher accuracy than S model in the prediction of left and right parotid glands of NPC. In respect to different OAR, the generalized robustness of S model was superior than the other two models.