Objective To investigate the herpes zoster vaccination willingness in middle-aged population in Zibo City, and analyze its influencing factors. Methods A questionnaire survey was conducted among population aged 40-59 years in 24 streets of 8 districts and counties in Zibo City using stratified sampling method, and the willingness to vaccinate herpes zoster vaccine was statistically analyzed. The influencing factors of herpes zoster vaccination willingness in middle-aged population in Zibo City were analyzed. Results Among the 692 survey subjects, 654 cases (94.51%) were not vaccinated with herpes zoster vaccine, among which 170 cases (25.99%) were willing to be vaccinated. Multivariate logistic regression analysis showed that gender, age, education level, knowledge of herpes zoster, presence or absence of people with herpes zoster around them, knowledge of symptoms and sequelae of herpes zoster, knowledge of herpes zoster vaccine, knowledge of preventive effect of herpes zoster vaccine on herpes zoster, possible adverse reactions after vaccination, and acceptable effective rate of vaccine were the influencing factors of herpes zoster vaccination willingness in middle-aged population in Zibo City (P<0.05). Conclusion The willingness of herpes zoster vaccination is low in middle-aged population in Zibo City, and its influencing factors include gender, age, education level, herpes zoster cognition and vaccine cognition. It is necessary to strengthen the education of herpes zoster and vaccine among middle-aged population in Zibo City, and formulate promotion strategies based on individualized needs to enhance the vaccination willingness of people.

Objective To investigate the status of job crafting, change fatigue, and organizational silence among clinical nurses, and to examine the mediating role of organizational silence in the relationship between change fatigue and job crafting. Methods A total of 500 clinical nurses from a tertiary grade A hospital in Shaanxi Province were selected as study participants using the convenience sampling method. The level of job crafting, change fatigue, and organizational silence was assessed using the Job Crafting Scale, Change Fatigue Scale, and Organizational Silence Scale, and the mediating effect of organizational silence between change fatigue and job crafting was examined by the Bootstrap method among clinical nurses. Results The mean scores of job crafting, change fatigue, and organizational silence among clinical nurses were (59.0±11.7), (22.9±5.6), and (81.3±8.5), respectively. Multiple linear regression analysis showed that higher education level, longer working years, and more severe change fatigue were associated with higher job crafting scores among clinical nurses (all P<0.05). A higher level of organizational silence was related to lower job crafting scores (P<0.01). Mediation analysis showed that organizational silence was negatively associated with both change fatigue and job crafting among clinical nurses (all P<0.01), while change fatigue was positively associated with job crafting (P<0.01). Organizational silence partially mediated the relationship between change fatigue and job crafting. The direct effect of change fatigue on job crafting was 0.26, and the indirect effect of organizational silence was 0.70, accounting for 72.8% of the total effect. Conclusion Organizational silence mediates the relationship between change fatigue and job crafting. Reducing organizational silence may help enhance the level of job crafting among nurses.

Objective: To analyze the characteristics and key risk factors of abnormal blood disposal throughout the 2024-2025 blood collection and supply process based on nationwide multi-site monitoring data, develop a comprehensive prevention and control strategy across the entire chain, reduce preventable blood waste, and ensure clinical blood safety. Methods: According to the Guidelines for Haemovigilance (T/CSBT 001-2026), we extracted 74 cases of abnormal blood disposal events reported by the China Blood Transfusion Association′s Blood Safety Monitoring System from January 1 2024, to December 31 2025, and conducted descriptive statistical analysis on the distribution of events, types of deviations, root causes, and classifications of disposal manifestations. Results: A total of 664 adverse events related to blood collection and supply were reported over two years, with 74 cases involving discarded abnormal blood units, accounting for 11.1% of the total. Among these, blood component preparation (40.5%) and blood collection (37.8%) remained traditional high-risk stages. The proportion of blood waste occurring during storage, distribution, and transportation increased from 7.7% in 2024 to 34.3% in 2025. Deviations from standard operating procedures (SOP) by personnel were the primary cause, accounting for 74.3% of cases. Discarded blood units were categorized into four types: compromised closed blood bag systems (40 cases), mainly due to inadequate heat sealing, physical damage, or dropped bags; blood out of the cold chain (12 cases), primarily resulting from blood being left at work sites; imbalanced proportion of preservation solution (10 cases), mostly caused by blood collection volumes exceeding the standard capacity of blood bags; and other causes (12 cases). Conclusion: Human operational errors are the core cause of abnormal blood waste. The collection and preparation stages have long been at high-risk, and the risks in the storage and transportation stages have been increasing year by year. We should focus on standardizing personnel management, improving specialized operation norms such as heat sealing, transportation, and storage, establishing a full-process intelligent cold chain monitoring and multi-node visual verification mechanism, and systematically reducing the occurrence rate of abnormal blood waste through a closed-loop quality intervention system, thereby improving the utilization efficiency of voluntary blood donation resources.

Surgical operations are one of the high-risk activities in modern society, and surgeons in this high-pressure environment require not only excellent technical skills but also well-rounded non-technical skills. Non-technical skills encompass key abilities such as situational awareness, decision-making, communication and teamwork, leadership, and stress management, as well as the capacity for error correction feedback loops, emotional intelligence, and adaptability to complex environments. These “soft skills” help surgeons to more effectively handle emergencies during surgery, optimize team collaboration, ensure patient safety, and increase the success rate of operations. Western countries have systematized non-technical skills into physicians’ training programs, while in China, further attention and promotion are still needed. By establishing comprehensive non-technical skill assessment standards and systematic training programs, the overall quality of surgeons can be enhanced, thereby ensuring patient safety, improving clinical outcomes, and fulfilling the professional mission of surgeons.

Surgical operations are one of the high-risk activities in modern society, and surgeons in this high-pressure environment require not only excellent technical skills but also well-rounded non-technical skills. Non-technical skills encompass key abilities such as situational awareness, decision-making, communication and teamwork, leadership, and stress management, as well as the capacity for error correction feedback loops, emotional intelligence, and adaptability to complex environments. These “soft skills” help surgeons to more effectively handle emergencies during surgery, optimize team collaboration, ensure patient safety, and increase the success rate of operations. Western countries have systematized non-technical skills into physicians’ training programs, while in China, further attention and promotion are still needed. By establishing comprehensive non-technical skill assessment standards and systematic training programs, the overall quality of surgeons can be enhanced, thereby ensuring patient safety, improving clinical outcomes, and fulfilling the professional mission of surgeons.

Objective·To investigate the application effects and benefits of full-neuroendoscopic technique in the surgical treatment of posterior cranial fossa lesions.Methods·A retrospective analysis was conducted on the clinical data of 105 patients with posterior cranial fossa lesions who underwent surgery using full-neuroendoscopic techniques at the Department of Neurosurgery,Renji Hospital,Shanghai Jiao Tong University School of Medicine,between January 2021 and December 2023.The data included patients'gender,age,lesion locations,nature of lesions,surgical procedures,and postoperative recovery.Follow-up with contrast-enhanced MRI was performed one month postoperatively,with subsequent follow-ups every three months on average,depending on the nature of the lesions.Results·Among the 105 patients,there were 45 males with an average age of(56±17)years and 60 females with an average age of(62±12)years.Lesions were predominantly located in the cerebellopontine angle area(78 cases),with others in the petrous bone area(7 cases),cerebellum(10 cases),and brainstem(10 cases).The nature of lesions included vestibular schwannoma(11 cases),meningioma(7 cases),glioma(7 cases),brain metastases(7 cases),hemangioblastoma(6 cases),cyst(1 case),and neuropathic conditions such as trigeminal neuralgia(43 cases),hemifacial spasm(22 cases),and glossopharyngeal neuralgia(1 case).All patients successfully underwent resection or biopsy of their lesions or microvascular decompression under full-neuroendoscopy.The follow-up period ranged from 3 months to 3 years.Enhanced MRI confirmed complete resection in 34 tumor cases(87.2％),near-total resection in 3 cases(7.7％),and biopsy in 2 cases(5.1％).Three deaths occurred during follow-up.Among the patients with vascular neuropathic diseases,two with trigeminal neuralgia experienced incomplete pain relief postoperatively.The resolution rates for hemifacial spasm and glossopharyngeal neuralgia were 100％.Postoperative complications occurred in 3 cases,with 2 cases of hydrocephalus that were managed with ventriculoperitoneal shunting,and 1 case of poor wound healing.Conclusion·Full-neuroendoscopic technique demonstrates potential in the surgical treatment of posterior cranial fossa lesions.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

Objective:To explore the dosimetry optimization strategy based on filter thickness and shape selection for the bulb superficial X-ray radiotherapy unit.Methods:Monte Carlo code TOPAS was used to model tubular equipment, and the dose distribution from six X-ray energies (50-150 kV) and five conventional aluminum filters (0.5-3.0 mm) with different thickness were simulated in the water model. The percentage depth dose (PDD) curve along the central axis, the center-axis profile dose at different depths, and the lateral dose distribution were analyzed. The dose distribution of three different designs of aluminum filters (conventional cylindrical, conical and oblique cylindrical filters) was compared to evaluate the effect of dosimetric optimization of different filter shapes.Results:Under the same energy, increasing the thickness of the filter can optimize the superficial skin dose, and the optimization effect of depth dose uniformity can be increased by 26% at a depth of 5.5 mm at 70 kV energy. The raised, flat and inclined dose distribution modes can be achieved by using conventional cylindrical, conical and inclined aluminum filters.Conclusions:By selecting the appropriate X-ray energy and filter thickness, an ideal dose distribution matching the tumor depth can be achieved. The application of personalized filters is also of great significance for diverse target areas.

Objective:To investigate the application of the conjugate gradient (CG) algorithm to treatment plan optimization for intensity-modulated brachytherapy (IMBT).Methods:The general Monte Carlo software TOPAS was utilized to simulate the 192Ir source of IMBT, and the unit dose contribution matrix was calculated. An objective function was established using the weighted least squares method and was solved using the CG algorithm to achieve optimized IMBT treatment plans. The optimization was validated using five clinical cervical cancer cases under modulation width 60°. The dose distributions of IMBT treatment plans under 45°, 60°, 90°, 120°, and 180° modulation widths were compared using the Wilcoxon test to determine the optimal IMBT treatment plan for cervical cancer treatment. Results:The CG algorithm successfully optimized IMBT treatment plans under modulation width 60° for five cases within 22.2 s on average. On the premise of sufficient target dose coverage, the average D2 cm 3 values of the bladder and rectum in IMBT treatment plans were 3.66 and 1.97 Gy, respectively, representing reductions of 0.54 and 0.69 Gy compared to traditional brachytherapy plans. For the five modulation widths, the D90% values of all IMBT treatment plans reached 6 Gy, without statistically significant differences ( P > 0.05). The average D2 cm 3 values of the bladder in IMBT treatment plans were significantly lower than those in the traditional brachytherapy plans( P<0.05), with modulation width 60° associated with the greatest reduction of 0.61 Gy. In contrast, the average D2 cm 3 values of the rectum under 45°, 60°, and 90° modulation widths decreased by 0.63, 0.54, and 0.45 Gy, respectively, compared to traditional plans, with statistically significant differences( P<0.05). Conclusions:The CG method enables rapid achievement of optimized IMBT treatment plans that meet clinical requirements, and modulation width 60° contributes to valid dosimetric optimization. This study can serve as a guide for the clinical implementation of IMBT.

Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.