Objective To evaluate the levels and changes in occupational individual external radiation dose in non-medical nuclear utilization units in Nanning City, and to provide a basis for radiation protection in such units. Methods Thermoluminescent dosimeters were used to monitor individual radiation doses among radiation workers in 38 non-medical nuclear utilization units in Nanning City. The results were subjected to statistical analysis. Results From 2021 to 2023, a total of 3724 person-times were monitored in 38 non-medical nuclear utilization units in Nanning City. The mean annual effective dose was 0.101 mSv in 2021, 0.060 mSv in 2022, and 0.094 mSv in 2023, with a three-year average of 0.085 mSv, all well below the occupational exposure limit of 1.0 mSv. Significant differences in mean annual effective doses were observed across occupations and sexes (P<0.05). Female workers received significantly lower mean annual effective dose than male workers. Workers in the cement manufacturing industry had a significantly higher mean annual effective dose compared to those in government institutions and industrial flaw detection practitioners (F = 2.913, P<0.05). No significant differences were found among workers exposed to unsealed radioactive sources, sealed radioactive sources, and radiation-generating equipment (F = 0.585, P>0.05). Conclusion The occupational individual external radiation doses in non-medical nuclear utilization units in Nanning City are at low levels. There are no significant differences in mean annual effective dose across different nuclear utilization units. However, differences in occupational roles between males and females significantly affect the mean annual effective dose.

Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

Objective To explore the clinical effectiveness of a locally trained and re-optimized RapidPlan model in lung stereotactic body radiation therapy (SBRT). Methods A total of 132 lung SBRT cases were retrospectively collected as a training group for the establishment of an initial RapidPlan model (RP-1) in the Eclipse 15.5 treatment planning system. RP-1 was then used to optimize the training group plans to generate the first-generation RapidPlans, which were used as a new training group to generate the upgraded RapidPlan model (RP-Plus). Additional 40 lung SBRT cases were selected to verify the quality and efficiency of RP-Plus plans, which were further assessed through clinical quality assurance (QA). Results The RP-Plus reduced the average number of optimization cycles by 2.1 times and 0.3 times compared to manual and RP-1 methods, respectively, and reduced the optimization time by 57.6% and 18.8%. The conformity index met clinical requirements, and the gradient index and Max_2cm(%) were improved compared to RP-1 (both P < 0.05). The RP-Plus plans showed lower dosimetric parameters of organs at risk, including lung V_20Gy, spinal cord D_max, and heart \begin{document}$D_{0.1{\mathrm{cm}}^3} $\end{document} The clinical QA pass rate of the RP-Plus plans was 100%. Conclusion The locally trained and re-optimized lung SBRT RapidPlan model can further improve plan quality and efficiency, and meet clinical QA requirements, showing feasibility for clinical application.

A detection model based on Gramian angular field(GAF)and parallel KConvNeXt network is proposed for accurately detecting the abnormal conditions caused by sample needle blockage in the sampling system during the sampling,thus improving the testing accuracy and detection efficiency of automated biochemical analyzers.GAF-based method is employed to transform the time series of one-dimensional pressure signals into two-dimensional image representations.Subsequently,an improved attention mechanism integrated with a parallel dual-channel KConvNeXt network is used to classify the pressure signals,and achieves a final classification accuracy of 94.58%.The experimental results show that the proposed method can effectively capture the key characteristics of the pressure signals,offering an efficient solution for the anomalous pressure detection in biochemical analyzer sampling system and exhibiting important practical significance.

Objective To explore the influencing factors of immune-associated thyroid dysfunction caused by sintilimab treatment in solid tumors and construct a prediction model.Methods Medical records of patients diagnosed with solid tumors and treated with sintilimab at Peking University People's Hospital(Xizhimen Campus,Tongzhou Campus,Shijiazhuang Campus)from January 2023 to September 2024 were collected to explore the influencing factors that caused immune-related thyroid dysfunction using univariate and multifactorial binary logistic regression analyses and to establish a prediction model.The predictive effect of the model was assessed using the receiver operating characteristic(ROC)curve.Results A total of 120 patients were included,and 33 presented with immune-related thyroid dysfunction.Multifactorial logistic regression analysis revealed that thyroid-stimulating hormone(TSH)[OR=2.470,95%CI=(1.279,4.771)]and treatment cycles[OR=1.298,95%CI=(1.117,1.509)]were independent risk factors for the occurrence of immune-associated thyroid dysfunction,and the difference was statistically significant(P＜0.05).The area under the ROC curve was(0.897±0.043)[95%CI=(0.813,0.981)],the Yoden index was 0.703,and the model prediction accuracy was 86.5%.Conclusion The risk of immune-related thyroid dysfunction caused by sintilimab is high,and TSH and treatment cycle are the influencing factors,and the constructed model has certain predictive value and is of reference significance.

BACKGROUND:Psoralen has a strong anti-osteoporotic activity and may have a restorative effect on chemotherapy-induced osteoporosis. OBJECTIVE:To explore the restorative effect of psoralen on the osteogenic differentiation of bone marrow mesenchymal stem cells in mice inhibited by cyclophosphamide and its mechanism. METHODS:C57BL/6 mouse bone marrow mesenchymal stem cells were isolated and cultured.Effect of psoralen on viability of bone marrow mesenchymal stem cells was detected by MTT assay.Osteogenic induction combined with alkaline phosphatase staining was used to determine the optimal dose of psoralen to restore the osteogenic differentiation of bone marrow mesenchymal stem cells inhibited by cyclophosphamide.The mRNA expression levels of Runx2,alkaline phosphatase,Osteocalcin,osteoprotegerin,and Wnt/β-catenin signaling pathway-related genes Wnt1,Wnt4,Wnt10b,β-catenin,and c-MYC were measured by RT-qPCR at different time points under the intervention with psoralen.The protein expression of osteogenic specific transcription factor Runx2 and Wnt/β-catenin signaling pathway related genes Active β-catenin,DKK1,c-MYC,and Cyclin D1 was determined by western blot assay at different time points under the intervention with psoralen. RESULTS AND CONCLUSION:(1)There was no significant effect of different concentrations of psoralen on the viability of bone marrow mesenchymal stem cells.The best recovery of the inhibition of osteogenic differentiation of bone marrow mesenchymal stem cells caused by cyclophosphamide was under the intervention of psoralen at a concentration of 200 μmol/L.(2)Psoralen reversed the reduction in osteogenic differentiation marker genes Runx2,alkaline phosphatase,Osteocalcin and osteoprotegerin mRNA expression and Runx2 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(3)Psoralen reversed the decrease in Wnt/β-catenin pathway-related genes Wnt4,β-catenin,c-MYC mRNA and Active β-catenin,c-MYC,and Cyclin D1 protein expression and the increase in DKK1 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(4)The results showed that cyclophosphamide inhibited osteogenic differentiation of bone marrow mesenchymal stem cells in mice,and psoralen had a restorative effect on it.The best intervention effect was achieved at a concentration of 200 μmol/L psoralen,and this protective effect might be related to the activation of Wnt4/β-catenin signaling pathway by psoralen.

BackgroundMigraine is a common chronic neurological disease， and patent foramen ovale （PFO） has been closely associated with migraine. Current research primarily focuses on the pathological mechanism and the therapeutic effects of interventional closure， with limited attention paid to the impact of PFO on sleep quality in migraine patients. ObjectiveTo compare the difference in sleep quality between PFO-positive and PFO-negative migraine patients， and to analyzes influencing factors of sleep quality in PFO-positive migraine patients， so as to provide references for clinical interventions to improve sleep quality in PFO-positive migraine patients. MethodsA total of 673 migraine patients who met the diagnostic criteria of migraine in the International Classification of Headache Disorders， third edition （ICHD-3）， and all patients underwent contrast-enhanced transcranial Doppler （c-TCD） and transthoracic echocardiographic right heart contrast echocardiography （cTTE） in the Third Hospital of Mianyang from January 2020 to October 2024. Basic demographic data were collected using a self-designed questionnaire， headache severity was assessed with the Visual Analogue Scale （VAS）， and sleep quality was invaluated using the Pittsburgh Sleep Quality Index （PSQI）. PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients. ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. The PFO-positive group showed significantly more severe headache severity （χ²=15.799， P<0.01） and poorer sleep quality （χ²=14.377， P<0.01） compared with PFO-negative group. PFO-positive patients demonstrated significantly higher barrier factor scores of sleep quality， sleep latency， sleep efficiency， sleep disturbance， hypnotic medication use， and daytime dysfunction compared with PFO-negative counterparts （t=3.634， 3.269， 2.785， 3.428， 2.907， 3.637， Bonferroni adjust P<0.05/7=0.007）.By contrast， no significant difference was noted in sleep duration scores between the two groups（t=2.349， Bonferroni adjust P>0.05/7=0.007）.The Binary Logistic regression analysis revealed that age （OR=1.021， 95% CI： 1.001~1.041）， headache severity （OR=6.030， 95% CI： 4.085~8.901）， and PFO grade （OR=1.893，95% CI： 1.288~2.784）were significant influencing factors for sleep quality in migraine patients with PFO. ConclusionMigraine patients with PFO-positive exhibited poorer sleep quality compared wtih PFO-negative patients. Older age， higher headache servity， and more severe PFO grade are identified as risk factors for impaired sleep quality in PFO-positive migraine patients.

Objective To analyze the influence path of medical students'professional identity on positive defensive medical behaviors and examine the mediating effect of medical risk perception between the two,aiming to provide theoretical support and practical reference for medical education to actively adapt to the demands of the medical and health system reform and promote the scientific guidance of positive defensive medical behaviors.Methods ln 2020,a questionnaire survey was conducted among medical students from four medical colleges in Heilongjiang Province using cluster sampling method,and data analysis was performed using SPSS 27.0 software.Results Medical students'professional identity showed a significant positive correlation with their positive defensive medical behavior(β=0.225,P＜0.001),with medical risk perception acting as a partial mediator(indirect effect accounting for 19%of the total effect).Professional identity(β=0.183,P＜0.001)and medical risk perception(β=0.195,P＜0.001)exerted direct positive effects on positive defensive medical behavior.Conclusion Medical students'professional identity drives them to adopt positive defensive medical behaviors by strengthening their sense of responsibility ethics and risk cognition ability,and medical risk perception is a key mediating variable in this process.Educational management should integrate policy-oriented clinical decision-making training and balance medical safety and efficiency through the collaborative mechanism of"professional identity-risk perception-behavioral practice".

Objective:To explore the value of a model based on 18F-FDG PET/CT radiomics features in assessing the prognosis of patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer undergoing neoadjuvant targeted chemotherapy. Methods:This retrospective analysis included 132 female patients (age (50±11) years) diagnosed with HER2-positive breast cancer who underwent 18F-FDG PET/CT prior to treatment between January 2016 and August 2022 in Tianjin Medical University Cancer Institute and Hospital. Data were split into training (105 cases) and validation (27 cases) cohorts using stratified sampling (8∶2). Clinical pathological data and progression-free survival (PFS) were recorded. PET and CT images were annotated for lesion delineation and radiomics features extraction. The least absolute shrinkage and selection operator (LASSO) algorithm was used to select features in the training cohort, and the radiomics score (Rad-score) was calculated. Cox proportional hazards regression analysis was performed to identify risk factors for PFS. A nomogram model was constructed, and the concordance index (C-index) was calculated to assess predictive performance. Results:Univariate Cox regression showed that N stage (hazard ratio ( HR)=2.36, 95% CI: 1.04-5.37, P=0.040) and Rad-score ( HR=14.50, 95% CI: 3.39-62.13, P<0.001) were related to PFS in patients with HER2-positive breast cancer after neoadjuvant therapy. Multivariate analysis indicated the Rad-score as an independent risk factor for PFS ( HR=13.32, 95% CI: 3.10-57.20, P<0.001). The nomogram model combining N stage and Rad-score predicted PFS more accurately than the Rad-score model alone, with C-indexes of 0.80 vs 0.74 in the training cohort, and 0.77 vs 0.71 in the validation cohort. Conclusions:Radiomics based on pre-treatment 18F-FDG PET/CT can predict PFS in patients with HER2-positive breast cancer undergoing neoadjuvant targeted chemotherapy. The nomogram model combining radiomics features and clinical risk factor improves prognostic prediction.