This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

As a unique type of job burnout,caregiving burnout not only reduces the quality of care,but also significant impacts the physical and mental health of both caregivers and care recipinets,extending its affects to families and society at large.This paper reviews the concept,measurement tools,and theoretical models of caregiv-ing burnout;and examines its antecedent and consequential variables.Future research should focus on distinguishing between formal and informal caregiving burnout,improving measurement methods,and developing effective inter-vention strategy tailoered to Chinese culture context.

Objective:To compare the efficacies of endovascular therapy (EVT) and standard medical therapy in acute ischemic stroke (AIS) patients aged ≥85 years, and analyze the independent influencing factors for poor prognosis of AIS patients after EVT.Methods:Sixty-nine AIS patients aged ≥85 years admitted to Department of Neurology, Xi'an Third Hospital from January 2018 to April 2024, including 40 accepted EVT and 28 accepted standard medicinal therapy, were enrolled. Modified Rankin scale (mRS) was used to evaluate the prognosis of the patients 90 days after onset. General data, prognosis and complications between the EVT group and standard medical therapy group were compared. General data, treatment processes and complications between patients with good prognosis and poor prognosis in the EVT group were compared. Multivariate Logistic regression was used to analyze the independent influencing factors for poor prognosis in AIS patients after EVT.Results:Compared with the standard medical therapy, the EVT group had significantly lower NIHSS score at discharge, greater improvement in NIHSS score (NIHSS score at admission-NIHSS score at discharge), lower mRS score 90 days after onset, higher good prognosis rate, lower mortality rate within 90 days of onset, and longer hospital stay ( P<0.05). In the EVT group, 11 patients (27.5%) had good prognosis and 29 patients (72.5%) had poor prognosis 90 days after onset. Compared with the good prognosis group, the poor prognosis group had significantly higher blood glucose level and lower Alberta Stroke Program Early CT Score (ASPECT) on admission ( P<0.05). Multivariate Logistic regression analysis showed that blood glucose on admission ( OR=2.363, 95% CI: 1.134-4.928, P=0.022) and ASPECT score on admission ( OR=0.273, 95% CI: 0.088-0.854, P=0.026) were independent influencing factors for poor prognosis in AIS patients after EVT. Conclusion:AIS patients aged ≥85 years received EVT have better prognosis compared with those accepted standard medical therapy; these patients with high glucose level and low ASPECT score on admission have poor prognosis.

Objective To explore the intention of chronic disease patients to use internet hospitals and its influencing factors based on the theory of planned behavior.Methods A convenience sampling survey was conducted using a questionnaire based on theory of planned behavior from July to October 2024.Structural equation modeling was employed to analyze the determinants of behavioral intention.Results The mean behavioral intention score was(96.25±11.62),indicating a moderate-to-high level.Structural equation modeling revealed significantly positive effects of subjective norms(β=0.696,P＜0.05)and perceived behavioral control(β=0.175,P＜0.05)on behavioral intention,while significant negative effects were observed for information risk perception(β=-0.286,P＜0.05)and medical risk perception(β=-0.221,P＜0.05).Conclusion Chronic disease patients demonstrate moderate-to-high intention to use internet hospitals.Key determinants of behavioral intention include subjective norms,perceived behavioral control,information risk perception,and medical risk perception.

Body image refers to an individual's evaluation of their body or body parts based on cognitive, emotional, and behavioral aspects. Dissatisfaction with body image in pregnant women can significantly impact both maternal and infant health. This article provides an overview of body image and reviews the assessment tools for body image in pregnant women, aiming to provide a reference for selecting appropriate tools for research on body image in pregnant women in China.

As a unique type of job burnout,caregiving burnout not only reduces the quality of care,but also significant impacts the physical and mental health of both caregivers and care recipinets,extending its affects to families and society at large.This paper reviews the concept,measurement tools,and theoretical models of caregiv-ing burnout;and examines its antecedent and consequential variables.Future research should focus on distinguishing between formal and informal caregiving burnout,improving measurement methods,and developing effective inter-vention strategy tailoered to Chinese culture context.

Objective To explore the intention of chronic disease patients to use internet hospitals and its influencing factors based on the theory of planned behavior.Methods A convenience sampling survey was conducted using a questionnaire based on theory of planned behavior from July to October 2024.Structural equation modeling was employed to analyze the determinants of behavioral intention.Results The mean behavioral intention score was(96.25±11.62),indicating a moderate-to-high level.Structural equation modeling revealed significantly positive effects of subjective norms(β=0.696,P＜0.05)and perceived behavioral control(β=0.175,P＜0.05)on behavioral intention,while significant negative effects were observed for information risk perception(β=-0.286,P＜0.05)and medical risk perception(β=-0.221,P＜0.05).Conclusion Chronic disease patients demonstrate moderate-to-high intention to use internet hospitals.Key determinants of behavioral intention include subjective norms,perceived behavioral control,information risk perception,and medical risk perception.

Body image refers to an individual's evaluation of their body or body parts based on cognitive, emotional, and behavioral aspects. Dissatisfaction with body image in pregnant women can significantly impact both maternal and infant health. This article provides an overview of body image and reviews the assessment tools for body image in pregnant women, aiming to provide a reference for selecting appropriate tools for research on body image in pregnant women in China.

Objective:To compare the efficacies of endovascular therapy (EVT) and standard medical therapy in acute ischemic stroke (AIS) patients aged ≥85 years, and analyze the independent influencing factors for poor prognosis of AIS patients after EVT.Methods:Sixty-nine AIS patients aged ≥85 years admitted to Department of Neurology, Xi'an Third Hospital from January 2018 to April 2024, including 40 accepted EVT and 28 accepted standard medicinal therapy, were enrolled. Modified Rankin scale (mRS) was used to evaluate the prognosis of the patients 90 days after onset. General data, prognosis and complications between the EVT group and standard medical therapy group were compared. General data, treatment processes and complications between patients with good prognosis and poor prognosis in the EVT group were compared. Multivariate Logistic regression was used to analyze the independent influencing factors for poor prognosis in AIS patients after EVT.Results:Compared with the standard medical therapy, the EVT group had significantly lower NIHSS score at discharge, greater improvement in NIHSS score (NIHSS score at admission-NIHSS score at discharge), lower mRS score 90 days after onset, higher good prognosis rate, lower mortality rate within 90 days of onset, and longer hospital stay ( P<0.05). In the EVT group, 11 patients (27.5%) had good prognosis and 29 patients (72.5%) had poor prognosis 90 days after onset. Compared with the good prognosis group, the poor prognosis group had significantly higher blood glucose level and lower Alberta Stroke Program Early CT Score (ASPECT) on admission ( P<0.05). Multivariate Logistic regression analysis showed that blood glucose on admission ( OR=2.363, 95% CI: 1.134-4.928, P=0.022) and ASPECT score on admission ( OR=0.273, 95% CI: 0.088-0.854, P=0.026) were independent influencing factors for poor prognosis in AIS patients after EVT. Conclusion:AIS patients aged ≥85 years received EVT have better prognosis compared with those accepted standard medical therapy; these patients with high glucose level and low ASPECT score on admission have poor prognosis.