ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

Endometriosis （EMT） is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea， pelvic mass， and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease， which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However， the pathogenesis of EMT is still not completely clear， and the disease has a long course. Therefore， developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine （TCM）， while the underlying mechanism remains in exploration. Programmed cell death （PCD） is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis， which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM， which regulates PCD via multiple pathways， routes， targets， and mechanisms. However， the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes （apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis）， with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To evaluate the protective effect of radiation protection safety education (RPSE) on patients with differentiated thyroid carcinoma (DTC) undergoing iodine-131 (¹³¹I) treatment. Methods The DTC patients who undergo ¹³¹I treatment were divided into the control group and the RPSE group using the convenience sampling method, with 142 patients in each group. Patients in the control group received routine health education, while the RPSE group received routine health education combined with RPSE. Dose equivalent rate (DER) on pillows, bed sheets, quilt covers, and household waste of patients were compared between the two groups upon discharge. Results The median (M) DERs of patients' pillows, bed sheets, quilt covers and household waste were 3.86, 3.63, 3.91 and 56.59 times higher in the control group compared with the environmental background level, respectively. The M DERs of patients' pillows, bed sheets, quilt covers were 2.23, 2.18, and 2.55 times higher in the RPSE group compared with the environmental background level, while the M DER of household waste was equivalent to the environmental background level. The DERs of patients' pillows, bed sheets, quilt covers, and household waste in the RPSE group were significantly lower than those in the control group (all P<0.001). The DERs of the above four items were lower in both male and female patients in RPSE group compared with same-gender patients in the control group (all P<0.001). The patients' DERs of the above indicators had no significant difference among different gender in both control group and RPSE group (all P>0.05), except for higher DER of household waste in female patients than that of male patients in the control group (P<0.05). There were no significant differences in the DERs of pillows, bed sheets, quilt covers, and household waste across subgroups, where patients received different treatment doses, of both the control group and the RPSE group (all P>0.05). Conclusion RPSE for DTC patients treated with ¹³¹I, reduces the DERs of pillows, bed sheets, quilt covers, and particularly household waste.

Objective To evaluate the influence of the wearing position of dosimeters outside lead aprons on effective dose estimation for interventional radiology workers, analyze the differences between single and double dosimeter methods in effective dose estimation, and provide a reference for the personal dose monitoring of interventional radiology workers. Methods This study employed a combined approach of on-site monitoring and Monte Carlo simulation to evaluate the impact of the wearing position of dosimeters outside lead aprons on effective dose estimation, as well as the differences between effective doses measured using single and double dosimeters. Interventional radiology workers wore dosimeters at three positions: the neck outside the lead collar, the left chest outside the lead apron, and inside the lead apron. Effective doses were estimated using the single and double dosimeter methods specified in GBZ 128-2019 Specifications for individual monitoring of occupational external exposure, and the impact of different wearing positions on the estimation results was compared. Geant4 Monte Carlo simulations were used to model dose distributions at the neck outside the lead collar and at the left chest outside the lead apron for operators performing cardiovascular interventions under tube voltages of 70, 80, 90, and 100 kVp and exposure angles of posteroanterior (PA), anteroposterior (AP), and left anterior oblique 45° (LAO45°) positions. The study assessed the impact of dosimeter wearing position on effective dose estimation. Results Monte Carlo simulations demonstrated that neck doses consistently exceeded left chest doses across different tube voltages and exposure angles, with neck-to-chest dose ratios of 0.80-0.90. Under identical tube voltage conditions, AP showed the highest doses, followed by LAO45°, and PA demonstrated the lowest doses. The single and double dosimeter methods exhibited consistent patterns in effective dose estimation. Single dosimeter method generally yielded higher effective doses with relative deviations of 9.9% to 83%, though these deviations decreased under high tube voltages. Field monitoring data indicated that most interventional radiology workers maintained relative deviations between single and double dosimeter calculations below 6%, with neck-to-chest dose ratios of 0.95-1.1. The estimation patterns remained consistent across both methods, though single dosimeter method showed slightly higher results. Conclusion Under PA, AP, or LAO45°, the doses at the neck consistently exceeded those at the left chest. Therefore, when wearing lead protective equipment, the dosimeter should be properly positioned at the neck outside the lead collar to accurately reflect the radiation doses of surgeons. Some interventional radiology workers improperly positioned the dosimeter (intended at the neck outside the lead collar) at the left chest outside the lead apron, and this may result in an underestimation of the effective dose.

Objective:To study the effects of applying the think-pair-share (TPS) method combined with the microlecture teaching model in nursing teaching of general surgery.Methods:We assigned 48 nursing students interning in the department of general surgery of The First Affiliated Hospital of Air Force Medical University from August 2020 to August 2021 into control group to receive traditional teaching and 48 nursing students who interned from September 2021 to August 2022 into observation group to receive TPS+microlecture teaching. The two groups were compared in terms of test results, critical thinking abilities, post competencies, and satisfaction with teaching. SPSS 22.0 was used to perform the t test and chi-square test. Results:The observation group showed a significantly higher theoretical score [(93.21±4.34) vs. (88.65±3.69)], a significantly higher basic nursing skills score [(94.21±3.85) vs. (89.45±5.47)], and a significantly higher specialized skills score [(90.76±4.59) vs. (88.96±3.63)] than the control group ( P<0.05). The total score of the critical thinking ability scale and the scores of individual dimensions were significantly increased after training for both groups, and all the scores were significantly higher in the observation group than in the control group ( P<0.05). Both groups had significant improvements in the total and individual scores of post competencies after training, and the observation group had significantly higher scores than the control group ( P<0.05). Compared with the control group, the observation group had significantly higher proportions of students feeling satisfied with teaching, in terms of all evaluation items and also overall ( P<0.05). Conclusions:Applying the TPS+microlecture teaching model in general surgery nursing teaching can help nursing students improve theoretical and practical levels, critical thinking abilities, and post competencies, also with a high level of satisfaction with teaching.

In the era of informatization, virtual teaching labs have emerged as a pivotal exploration in the construction of new teaching organizations at the primary level. Virtual labs of teaching research and reform require faculty members to collaboratively conduct teaching reform research and practice, thereby fostering new paradigms and achievements for teaching reforms. It serves as a vital foundation for supporting comprehensive reforms in curriculum teaching and specialty construction. This paper delves into the logical framework of virtual teaching research and reform labs from four dimensions (value orientation, construction principles, organizational structure, and operational safeguards), and elaborates on lab construction pathways from four aspects (technological platforms, behavioral relationships, knowledge management, and spiritual culture). Taking virtual teaching labs for medical education as an example, the paper summarizes practical experience in the innovative exploration of reform-oriented virtual teaching labs. Finally, we discuss the most constraining factors in the current construction of virtual teaching labs, and propose that research on virtual teaching labs should pay more attention to solving practical problems in major and curriculum reforms to promote the integration of medical education and practice, ultimately contributing to the realization of the Healthy China initiative.

Background::Although overnight fasting is recommended prior to endoscopic retrograde cholangiopancreatography (ERCP), the benefits and safety of high-carbohydrate fluid diet (CFD) intake 2 h before ERCP remain unclear. This study aimed to analyze whether high-CFD intake 2 h before ERCP can be safe and accelerate patients’ recovery.Methods::This prospective, multicenter, randomized controlled trial involved 15 tertiary ERCP centers. A total of 1330 patients were randomized into CFD group ( n = 665) and fasting group ( n = 665). The CFD group received 400 mL of maltodextrin orally 2 h before ERCP, while the control group abstained from food/water overnight (>6 h) before ERCP. All ERCP procedures were performed using deep sedation with intravenous propofol. The investigators were blinded but not the patients. The primary outcomes included postoperative fatigue and abdominal pain score, and the secondary outcomes included complications and changes in metabolic indicators. The outcomes were analyzed according to a modified intention-to-treat principle. Results::The post-ERCP fatigue scores were significantly lower at 4 h (4.1 ± 2.6 vs. 4.8 ± 2.8, t = 4.23, P <0.001) and 20 h (2.4 ± 2.1 vs. 3.4 ± 2.4, t= 7.94, P <0.001) in the CFD group, with least-squares mean differences of 0.48 (95% confidence interval [CI]: 0.26–0.71, P <0.001) and 0.76 (95% CI: 0.57–0.95, P <0.001), respectively. The 4-h pain scores (2.1 ± 1.7 vs. 2.2 ± 1.7, t = 2.60, P = 0.009, with a least-squares mean difference of 0.21 [95% CI: 0.05–0.37]) and positive urine ketone levels (7.7% [39/509] vs. 15.4% [82/533], χ2 = 15.13, P <0.001) were lower in the CFD group. The CFD group had significantly less cholangitis (2.1% [13/634] vs. 4.0% [26/658], χ2 = 3.99, P = 0.046) but not pancreatitis (5.5% [35/634] vs. 6.5% [43/658], χ2 = 0.59, P = 0.444). Subgroup analysis revealed that CFD reduced the incidence of complications in patients with native papilla (odds ratio [OR]: 0.61, 95% CI: 0.39–0.95, P = 0.028) in the multivariable models. Conclusion::Ingesting 400 mL of CFD 2 h before ERCP is safe, with a reduction in post-ERCP fatigue, abdominal pain, and cholangitis during recovery.Trail Registration::ClinicalTrials.gov, No. NCT03075280.

Aim To explore the potential genes and mechanism of alisol B in the treatment of non-small cell lung cancer(NSCLC).Methods The proliferation and migration of NSCLC cells were detected by CCK-8 and Transwell.Genes of NSCLC and alisol B were col-lected through TCGA and compound gene prediction database,and their intersection genes were obtained.The network of protein-protein interaction(PPI)was constructed by using String database,and the top 20 key nodes were screened out,and the prognosis-related proteins related to the prognosis of NSCLC were screened out by using R language,and the intersection of them was obtained.The potential mechanism of ali-sol B on NSCLC was explored by KEGG and GO en-richment analysis and the relationship between related genes and immune cells,which was verified by cell-lev-el experiments.Results Alisol B inhibited the cell activity and migration ability of NSCLC cells.Five im-portant genes were identified by network pharmacologi-cal analysis:CCNE1,CDK1,COL1A1,COL1A2 and COL3A1.The results of cell experiment showed that al-isol B down-regulated the expression of Cyclin E1,CDK1 and COL1A2 in NSCLC cells.In addition,alisol B could inhibit the expression of COL1A2 and M2 macrophage marker CD206 in macrophages.Conclu-sions Alisol B may inhibit the proliferation of tumor cells by down-regulating CDK1 and Cyclin E1,and may affect the function of macrophages by inhibiting COL1A2,thus regulating the tumor immune microenvi-ronment and inhibiting NSCLC.

Objective To analyze the correlation between hip joint musculoskeletal ultrasound score and ankylosing spondylitis(AS)disease activity,as well as to investigate the value of high frequency ultrasound in the assessment of hip joint involvement in AS.Methods The clinical data of 244 patients with AS who were treated in the rheumatology department of from March 2019 to March 2022 were retrospectively analyzed.Among them,there 174 males and 70 females,aged from 19 to 58 years old with an average of(34.22±9.49)years old;the disease duration of AS patients ranged from 8 months to 26 years,with an average of(13.68±4.04)years.The 244 patients were divided into disease group(83 cases)and control group(161 cases)based in the presence of hip joint involuement.According to the the disease activity,patients in the disease group were further categorezed into active phase(45 cases)and stable phase(38 cases).The ultrasound scores of patients in the active and stable phases of the disease group and the control group were compared.Relevant factors of hip joint involvement in AS patients were analyzed,and analyze the correlation between ultrasound score and Bath ankylosing spondylitis disease activity score index(BASD AI),Bath ankylosing spondylitis functional index(BASFI),visual analogue score of pain(VAS),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),and the correlation between hip joint capsule score and tendon attach-ment end score and BASDAI,BASFI,VAS,CRP and ESR.Results The hip joint capsule score(3.06±1.12),femoral head score(1.45±0.43),tendon attachment end score(3.28±1.30)and total ultrasound score(6.65±2.31)of the disease group were higher than those of the control group(1.51±0.48)、(0.66±0.27)、(1.61±0.53)、(3.81±1.44)scores(P＜0.05).Multifactor Logstic re-gression analysis showed that the course of disease,hip joint capsule score and total ultrasound score were independent risk factors for hip involvement in AS patients.The hip capsule score(3.65±1.22)and total ultrasound score(8.28±2.33)in the ac-tive phase of the disease group were higher than those in the stable phase(2.48±1.04)、(6.82±1.96)scores(P＜0.05).The hip joint capsule score and total ultrasonic score of AS patients were positively correlated with BASDAI,BASFI,VAS,CRP,and ESR(P＜0.05,P＜0.01).The score of tendon attachment end was positively correlated with CRP(P＜0.05).The score of joint capsule effusion in AS patients was positively correlated with BASDAI,BASFI and VAS(P＜0.05,P＜0.01).The synovial blood flow score was positively correlated with BASDAI,VAS,CRP and ESR(P＜0.05,P＜0.01).The synovial thickening score was positively correlated with BASDAI,BASFI,VAS,CRP and ESR(P＜0.05,P＜0.01).There was no correlation between the score of tendon attachment end and BASDAI,BASFI,VAS,CRP and ESR.Conclusion There is a correlation between hip joint ul-trasonic score of hip joint and clinical indexes in AS patients.Hip joint capsule score and total ultrasonic score were indepen-dent risk factors for hip involvement in AS patients.High frequency ultrasound exhibits clinical value in the diagnosis of hip joint involvement in AS patients.