Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

OBJECTIVE: Exploring the formation and aggregation of human islet amyloid polypeptide (hIAPP) (amylin) fibers is significant for promoting the prevention and treatment of type II diabetes mellitus (T2DM). Flavones in pomelo peel have visible biological activity in the anti-diabetes aspect. The present study aimed to investigate the effects of five flavones [naringin (NRG), narirutin (NRR), nobiletin (NOB), sinensetin (SIN), and neohesperidin (NHP)] in pomelo peel on peptide aggregation and explore its possible mechanisms. The cell viability of flavones against peptide aggregation was also evaluated. METHODS: The thioflavin T (ThT) assay and transmission electron microscopy (TEM) were used for evaluating the inhibition and disaggregation of flavones on peptide aggregation. The interaction mechanism was analyzed by endogenous fluorescence, molecular dynamics (MD) simulations, ultraviolet spectroscopy (UV) and isothermal titration calorimetry (ITC) experiments. The 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide (MTT) and immune assays were performed to characterize the cell viability of flavones against peptide aggregation. RESULTS: The five flavones showed a decrease in fluorescence intensity, fiber number and size under incubation with different molar ratios of hIAPP. The compounds can bind to the aromatic tyrosine (Tyr) residueTyr 37, resulting in the intrinsic fluorescence quenching of the peptides. Five flavones can form hydrogen bonds with hIAPP, which is likely to be based on their phenolic hydroxyl structure. They showed strong binding affinity with peptides. The reaction system of NRG and NRR observed an exothermic reaction, and the others were endothermic reactions. The absorption peaks of the compounds with hIAPP changed and showed hypochromic effects, indicating that there may be π-π stacking interaction. Flavones noticeably increased the cell viability in the presence of amyloid peptides and reduced the absorption intensity induced by peptide oligomers. CONCLUSION A total of five flavones in pomelo peel have inhibitory and depolymerization effects on amyloid fibrils, and can significantly protect cells from the toxic effect of hIAPP and reduce the production of toxic oligomers.

Objective·To construct a nanoengineered T cell system and explore its synergistic efficacy in the in vitro treatment of oral squamous cell carcinoma,and provide a new strategy for this disease.Methods·Zr-MOF nanoparticles with a highly hydrophilic hyaluronic acid(HA)coating(PCN224-HA NPs)were prepared,and their carboxyl groups were activated to enable coupling with anti-CD45 antibodies through an amide reaction.High-purity CD8+T cells were then extracted from the spleens of mice,and the PCN224-HA NPs were loaded onto the T cells via the CD45 antigens on their surface.The coupling was observed using bioelectron microscopy and confocal microscopy,and free radical generation was detected under ultrasound irradiation.The viability of Cal27 cells was recorded by a microplate reader to explore therapeutic effects in vitro.Results·PCN224-HA NPs were successfully synthesized and confirmed to be coupled onto the surface of CD8+T cells,constructing a nanoengineered T cell system(T cells@PCN224-HA NPs).Free radical production was monitored after ultrasound irradiation and the viability of Cal27 cells decreased to 31.70%after in vitro treatment.Conclusions·Preliminary experiments demonstrated that the nanoparticles can be successfully loaded onto the surface of T cells,providing combined sonodynamic therapeutic effects from the nanoparticles and immunocidal effects from the T cells.This offers a novel strategy for the treatment of oral squamous cell carcinoma,with potential for further in vivo anti-tumor experiments and therapeutic applications.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

Objective·To construct a nanoengineered T cell system and explore its synergistic efficacy in the in vitro treatment of oral squamous cell carcinoma,and provide a new strategy for this disease.Methods·Zr-MOF nanoparticles with a highly hydrophilic hyaluronic acid(HA)coating(PCN224-HA NPs)were prepared,and their carboxyl groups were activated to enable coupling with anti-CD45 antibodies through an amide reaction.High-purity CD8+T cells were then extracted from the spleens of mice,and the PCN224-HA NPs were loaded onto the T cells via the CD45 antigens on their surface.The coupling was observed using bioelectron microscopy and confocal microscopy,and free radical generation was detected under ultrasound irradiation.The viability of Cal27 cells was recorded by a microplate reader to explore therapeutic effects in vitro.Results·PCN224-HA NPs were successfully synthesized and confirmed to be coupled onto the surface of CD8+T cells,constructing a nanoengineered T cell system(T cells@PCN224-HA NPs).Free radical production was monitored after ultrasound irradiation and the viability of Cal27 cells decreased to 31.70%after in vitro treatment.Conclusions·Preliminary experiments demonstrated that the nanoparticles can be successfully loaded onto the surface of T cells,providing combined sonodynamic therapeutic effects from the nanoparticles and immunocidal effects from the T cells.This offers a novel strategy for the treatment of oral squamous cell carcinoma,with potential for further in vivo anti-tumor experiments and therapeutic applications.

Objective:To investigate the diagnostic value of 3.0T magnetic resonance with high b-value diffusion weighted imaging (DWI) for endometrial carcinoma (EC).Methods:The clinical data of 118 patients with suspected endometrial lesions were analyzed retrospectively. Among them, 83 cases were pathologically diagnosed as EC (EC group), and 35 cases were diagnosed as complex or atypical hyperplasia (endometrial hyperplasia group). In addition, 47 patients with normal endometrial (normal endometrial group) in the same period were selected. All patients underwent 3.0T MRI conventional T 2-weighted imaging (T 2WI) and multiple b-value (0, 300, 400, 600, 800, 1 000, 2 000, 3 000 and 4 000 s/mm 2) DWI scans. The endometrial signal intensity on different b-value DWI was measured. The b-value-endometrial signal intensity curve was drawn, and the decline degree of endometrial signal intensity was calculated. Results:When b-value was 300, 400, 600 and 800 s/mm 2, there was no significant difference in endometrial signal intensity among the three groups ( P>0.05); when b-value was 1 000, 2 000, 3 000 and 4 000 s/mm 2, the signal intensity in EC group was significantly higher than that in normal endometrial group and endometrial hyperplasia group (456.1 ± 119.4 vs. 371.3 ± 99.9 and 381.6 ± 184.8, 284.2 ± 91.9 vs. 163.2 ± 46.5 and 191.4 ± 110.8, 196.7 ± 72.4 vs. 103.7 ± 30.9 and 129.4 ± 83.1, 151.6 ± 54.8 vs. 74.6 ± 20.8 and 101.1 ± 60.7), and there was statistical difference ( P<0.05); while there was no significant difference between normal endometrial group and endometrial hyperplasia group ( P>0.05). The results of b-value-endometrial signal intensity curve showed that the decrease of endometrial signal intensity in EC group was significantly lower than that in normal endometrial group and endometrial hyperplasia group (0.79 ± 0.05 vs. 0.90 ± 0.03 and 0.87 ± 0.04), the index in endometrial hyperplasia group was significantly lower than that in normal endometrial group, and there was statistical difference ( P<0.05). Conclusions:High b-value DWI is useful for the differentiation of benign and malignant endometrial lesions, and it can improve the qualitative diagnostic value of EC.

Objective:To investigate age-related characteristics of gait parameters in the elderly.Methods:From February 2023 to August 2023, a convenient sampling method was used to investigate the elderly over 60 years old in communities in Beijing.General characteristics and anthropometric data were collected.Gait parameters of the subjects during normal speed walking were measured using a wearable gait analyzer.Comparisons were made of the basic characteristics, physical status and gait parameters in different age groups.Linear regression analysis was used to evaluate the changes of physical status and gait parameters with age, with the 60-69-year-old group as the baseline standard.Results:A total of 670 elderly people were included, including 324(48.4%)aged 60-69 years, 285(42.5%)aged 70-79 years, and 61(9.1%)aged ≥80 years.Linear regression analysis showed that after adjusting for confounding factors, with increasing age, skeletal muscle mass index(SMI)( β=-0.018, 95% CI: -0.029--0.007), calf circumference( β=-0.096, 95% CI: -0.142--0.051), upper limb flexibility( β=-0.200, 95%, 95% CI: -0.355--0.046), lower limb flexibility( β=-0.244, 95% CI: -0.377--0.111), grip strength( β=-0.397, 95% CI: -0.491--0.303), the Short Physical Performance Battery(SPPB)( β=-0.080, 95% CI: -0.100--0.060)decreased( P<0.05), and the gait parameter such as speed( β=-0.010, 95% CI: -0.014--0.007), cadence( β=-0.398, 95% CI: -0.634--0.162), step length/height( β=-0.002, 95% CI: -0.003--0.002), stride length( β=-0.009, 95% CI: -0.011--0.007), swing power( β=-0.009, 95% CI: -0.012--0.006), ground impact( β=-0.020, 95% CI: -0.026--0.014), foot fall( β=-0.050, 95% CI: -0.064--0.036), pre-swing angle( β=-0.545, 95% CI: -0.714--0.377)all decreased( P<0.05), while stride time( β=0.005, 95% CI: 0.001-0.009), single limb support time( β=1.566, 95% CI: 0.499-2.633), terminal double limb support time( β=0.609, 95% CI: 0.084-1.134), swing duration( β=1.288, 95% CI: 0.024-2.552), single step time( β=2.417, 95% CI: 0.462-4.372)and support phase time( β=1.935, 95% CI: 0.421-3.449)all increased( P<0.05). Conclusions:The walking ability tends to decline with age in older people in the community who walk at a normal walking speed.

Objective:To investigate the current situation of medical social worker supervision in Shanghai, for reference to promote the high-quality development of medical social work.Methods:From June to July 2022, a questionnaire survey was conducted on the in-service medical social workers in all medical institutions with medical social work departments or posts in Shanghai. The questionnaire mainly included demographic information, current status of supervision implementation, and effectiveness of supervision. The data were analyzed descriptively with t test for comparison between groups and the Pearson test was for correlation analysis. Results:A total of 99 medical social workers were included in this study, 65 had received supervision, and medical institutions where 58 people located had established the supervision system. The average scores of actual and expected supervisory support received by medical social workers were 3.71 and 4.20 respectively, and the mean burnout level score was 32.91. The effect of establishing a supervision institutions on burnout was statistically significant ( P<0.05) and actual access to supervision support was negatively associated with burnout ( P<0.05). Conclusions:The overall situation of medical social work supervision in Shanghai was positive, but the demand for supervision was not fully satisfied; Supervision had a positive impact on reducing the burnout level. It is suggested that medical social work should further strengthen the cultivation of supervisory talents, promote the construction of supervisory systems, and improve the quality of supervision.

Objective:To summarize the research on the application of online health community-based user personain the field of cancer at home and abroad, so as to provide reference for the related research and application in this field in the future.Methods:Computer search of CNKI, China biomedical literature database, VIP, Wanfang, Web of Science, Embase, MEDLINE, PubMed, CINAHL, Cochrane Library, a total of 10 Chinese and English databases, focused on the relevant research on building user personas based on online health communities in the field of cancer, and the search time limit was from the establishment of the database to April 20, 2022. Literature was screened, data extracted and summarized.Results:Totally 11 literatures were included. The construction process of user persona based on online health community included data collection, tag extraction and persona presentation. The functional diversity and implementation feasibility were showed in the application content in the field of cancer. It can quickly identify the differences in health information needs of cancer patients, provide personalized decision support and nursing services, strengthen health information education, and improve patients′ self-management ability.Conclusions:The integration of user persona and cancer field based on online health community was in the initial exploration stage, and the feasibility and effectiveness of promoting patients′ health behavior were confirmed by existing studies. In the future, it is still necessary to be promoted in the empirical research on its application in clinical practice, so as to lay a foundation for providing targeted patient health management programs in the future.

Objective To investigate the effect of Echinococcus granulosus cyst fluid(EgCF) on the cytoskeletal rearrangement and phagocytosis and the migration of macrophages induced by lipopolysaccharide(LPS). Methods Peritoneal macrophages of C57BL/6 mice were isolated and cultured in vitro, and divided into control group and LPS group and LPS combined with EgCF group. After 48 hours of treatment, filamentous actin (F-actin) changes were observed with rhodamine-labelled phalloidin staining and fluorescence microscopy; Transwell^TM chamber was used to test cell migration ability and flow cytometry to test cell phagocytosis. After 1 hour of treatment, PI3K and AKT, phosphorylated AKT (p-AKT), Rac1, guanosine triphospho-Rac1 (GTP-Rac1), WASP and Arp2 protein expressions were detected with Western blot analysis. Results Compared with the control group, after LPS stimulation, macrophages were deformed significantly; pseudopodia increased; actin cytoskeleton increased and was more distributed in pseudopodia; the ability of migration and phagocytosis were significantly improved, and the expression of PI3K, p-AKT, GTP-Rac1, WASP and Arp2 proteins significantly increased. EgCF treatment caused cell shrinkage and disappearance of pseudopodia protrusions of LPS-activated cells, and led to the reduced phagocytic and migratory of cells; the protein expression of PI3K, p-AKT, GTP-Rac1, WASP and Arp2 decreased significantly compared with the LPS group. Conclusion LPS induces the migration and enhances phagocytosis of macrophages while EgCF inhibits these effects, which is related to actin cytoskeleton rearrangement.
Mice ; Animals ; Lipopolysaccharides/pharmacology* ; Echinococcus granulosus/metabolism* ; Proto-Oncogene Proteins c-akt ; Cyst Fluid/metabolism* ; Mice, Inbred C57BL ; Macrophages/metabolism* ; Phagocytosis ; Actins/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Guanosine Triphosphate/pharmacology*