Objective To investigate occupational exposure levels of lead, arsenic and cadmium in the lead smelting plant of Hunan Shui Kou Shan Nonferrous Metals Group Co. Ltd., analyze their effects on health of employees, and compare the applicability of different occupational health risk assessment methods, and to provide a basis for prevention and control of occupational exposure risks in enterprises. Methods According to systematic sampling method, 380 employees with lead, arsenic and cadmium exposure (exposure group) and 100 non-exposure employees (non-exposure group) were selected from 2022 to 2024 for on-site investigation of occupational health [concentration time-weighted average (C_TWA)] and physical examination. The risk was evaluated by qualitative assessment method, the U.S. Environmental Protection Agency (EPA) inhalation risk assessment method, and the Singapore Ministry of Manpower (MOM) semi-quantitative method. The consistency was analyzed by the Kappa test. Results C_TWA values of lead, arsenic, and cadmium in all positions were lower than the occupational exposure limit (OEL). The levels of blood lead, urine arsenic, and urine cadmium, as well as the prevalence of multiple systems in the exposure group were significantly higher than those in the non-exposure group (P<0.05). The proportions of chronic lead, arsenic, and cadmium poisoning were increasing year by year in the exposure group (P<0.05). The qualitative assessment method mainly indicated low and medium risk, while the EPA and MOM methods mainly indicated medium and high risk, with good agreement between the two methods (Kappa=0.676, P<0.05). Conclusion Although the enterprise meets the C_TWA standards, there are still occupational health risks of lead, arsenic, and cadmium. The EPA inhalation risk assessment method is more applicable.

Driven by policy initiatives promoting the integration of digital-intelligent technologies with primary healthcare and the digital transformation of traditional Chinese medicine (TCM), Smart TCM has emerged as a pivotal strategy for enhancing primary healthcare services for major chronic diseases. This paper reviews the current status, challenges, and feasible pathways of Smart TCM in community-level management of cardiovascular–cerebrovascular diseases and tumors, which represent major chronic disease burdens. Our findings indicate that Smart TCM demonstrates emerging potential in primary healthcare for chronic diseases across the entire continuum of “prevention-screening-diagnosis-treatment-management.” However, several significant challenges persist, including data silos and security vulnerabilities, limited applicability of existing models to real-world clinical needs, and insufficient digital literacy among primary healthcare physicians and elderly patients. To address these constraints, this paper proposes a multidimensional strategy encompassing the development of secure and interoperable regional data platforms, lightweight intelligent devices and support services aligned with primary care capacity, unified technical and data standards with corresponding quality control systems, adaptive and dynamically updated artificial intelligent models, interdisciplinary workforce training and patient education programs, and enhanced policy and health insurance support. Overall, Smart TCM shows great promise for improving the efficiency of primary healthcare delivery and establishing innovative TCM-based chronic disease management paradigms.

Objective To enhance the gamma spectrometry analysis and detection capabilities of personnel in measuring radionuclides in bio-ash, and ensure the accuracy and precision of gamma spectrometer in our laboratory for the analysis of radionuclides in bio-ash. Methods The laboratory participated in the 2024 national interlaboratory comparison for radionuclide measurement in bio-ash. Radionuclides ²⁴¹Am, ¹³⁷Cs, and ⁴⁰K in four different bio-ash samples were measured. Based on the measurement methods specified in GB/T 16145—2022, sample measurement, result calculation, and uncertainty evaluation were performed using spectrometry analysis software and sourceless efficiency calibration software. The measurement results and performance evaluation of the laboratory in the comparison were analyzed, and factors affecting gamma-spectrometry measurement and result interpretation were discussed. Results The relative deviation (D) of the measurement results for radionuclides ²⁴¹Am and ¹³⁷Cs in the four bio-ash samples ranged from −10.2% to 2.0% and −1.7% to 0.3%, respectively. The P statistic ranged from 7.0% to 12.5% and 5.0% to 10.8%, respectively. These results met the criteria of |D| ≤ 20% (MARB), |D| ≤ 2.58P, and P ≤ 20% (MARB). The ζ-scores for the measurement of ⁴⁰K in the four bio-ash samples ranged from 0.8 to 1.3, satisfying the criterion of |ζ| < 2. All measurement results in this laboratory in the comparison were satisfactory. Conclusion The laboratory uses a high-purity germanium gamma spectrometer to measure radionuclides in bio-ash. The self-absorption correction method, analysis method, and uncertainty evaluation are appropriate, which can ensure the accuracy and precision of the measurement results. The measurement results are accurate and reliable.

ObjectiveTo investigate the protective effect and underlying mechanisms of the Bawei Chenxiang Wan （BCW） against myocardial ischemic injury. MethodsMyocardial ischemia in vivo was induced in rats by subcutaneous injection of isoproterenol （ISO）， and ex vivo ischemia was established by coronary artery ligation in isolated rat hearts. The effects of BCW， alcohol extracts and its polar extracts were evaluated on ST segment on electrocardiogram （ECG）， myocardial damage， hemodynamic parameters， and infarct size. The phosphorylation level of phosphatidylinositol 3-kinase （PI3K）， the expression of cuproptosis-related proteins， and the content of Cu²⁺ in myocardial tissue were detected. The regulatory relationship of the signaling pathway was verified using an oxygen-glucose deprivation （OGD） myocardial cell injury model， combined with PI3K agonists and inhibitors. ResultsBCW ameliorated ST-segment elevation on electrocardiograms（P＜0.01）， reduced serum levels of myocardial injury markers， improved hemodynamic parameters， upregulated PI3K phosphorylation（P＜0.01）， and decreased Cu²⁺ accumulation in rats with myocardial ischemia（P＜0.01）. Moreover， BCW reduced the myocardial infarct size. In the isolated rat heart model of ischemia， both the ethanol extract and various solvent fractions of BCW exerted protective effects and reduced Cu²⁺ content， among which the n-butanol fraction exhibited the most potent activity（P＜0.01）. Specifically， the n-butanol fraction upregulated PI3K phosphorylation（P＜0.01） and downregulated the expression of cuproptosis-related proteins， including ferredoxin reductase 1（FDX1）（P＜0.05）， lipoic acid synthetase（LIAS）， and dihydrolipoamide S-acetyltransferase（DLAT） oligomerization（P＜0.05）. In the OGD-induced cardiomyocyte injury model， treatment with a PI3K agonist inhibited DLAT oligomerization（P＜0.05）， whereas co-administration of a PI3K inhibitor attenuated the inhibitory effect of the n-butanol fraction on DLAT oligomer formation（P＜0.05）. ConclusionThe n-butanol fraction of BCW exerts a significant protective effect against myocardial ischemic injury， and its mechanism may involve activation of the PI3K and inhibition of cuproptosis.

ObjectiveTo investigate the protective effect and underlying mechanisms of the Bawei Chenxiang Wan （BCW） against myocardial ischemic injury. MethodsMyocardial ischemia in vivo was induced in rats by subcutaneous injection of isoproterenol （ISO）， and ex vivo ischemia was established by coronary artery ligation in isolated rat hearts. The effects of BCW， alcohol extracts and its polar extracts were evaluated on ST segment on electrocardiogram （ECG）， myocardial damage， hemodynamic parameters， and infarct size. The phosphorylation level of phosphatidylinositol 3-kinase （PI3K）， the expression of cuproptosis-related proteins， and the content of Cu²⁺ in myocardial tissue were detected. The regulatory relationship of the signaling pathway was verified using an oxygen-glucose deprivation （OGD） myocardial cell injury model， combined with PI3K agonists and inhibitors. ResultsBCW ameliorated ST-segment elevation on electrocardiograms（P＜0.01）， reduced serum levels of myocardial injury markers， improved hemodynamic parameters， upregulated PI3K phosphorylation（P＜0.01）， and decreased Cu²⁺ accumulation in rats with myocardial ischemia（P＜0.01）. Moreover， BCW reduced the myocardial infarct size. In the isolated rat heart model of ischemia， both the ethanol extract and various solvent fractions of BCW exerted protective effects and reduced Cu²⁺ content， among which the n-butanol fraction exhibited the most potent activity（P＜0.01）. Specifically， the n-butanol fraction upregulated PI3K phosphorylation（P＜0.01） and downregulated the expression of cuproptosis-related proteins， including ferredoxin reductase 1（FDX1）（P＜0.05）， lipoic acid synthetase（LIAS）， and dihydrolipoamide S-acetyltransferase（DLAT） oligomerization（P＜0.05）. In the OGD-induced cardiomyocyte injury model， treatment with a PI3K agonist inhibited DLAT oligomerization（P＜0.05）， whereas co-administration of a PI3K inhibitor attenuated the inhibitory effect of the n-butanol fraction on DLAT oligomer formation（P＜0.05）. ConclusionThe n-butanol fraction of BCW exerts a significant protective effect against myocardial ischemic injury， and its mechanism may involve activation of the PI3K and inhibition of cuproptosis.

Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

Objective To compare five time series models and predict the monthly incidence of bacillary dysentery in Qinghai Province in 2024,and provide reference for the prevention and control.Methods The epidemic charac-teristics of bacterial dysentery in Qinghai Province from 2014 to 2023 were analyzed.R4.3.1 software was used for establishing seasonal autoregressive integrated moving average(SARIMA)model,Holt-Winters triple exponential smoothing(Holt Winters)model,exponential smoothing(ETS)model,neural network autoregression(NNAR)model,and trigonometric seasonality,Box-Cox transformation,ARMA errors,trend and seasonal components(TBATS)model.Fitting effect of the models was analyzed and accuracy was compared.Results From 2014 to 2023,a total of 5 833 cases of bacterial dysentery were reported in Qinghai Province,without deaths,male to fe-male ratio being 1.23∶1.The highest incidence was reported in 2016(15.45 per 100 000 people),and the lowest in-cidence was reported in 2023(3.68 per 100 000 people).Incidence increased from 2014 to 2016,then decreased,showing an obvious overall downward trend.Case number in＜5 years age group was the highest,accounting for 29.76％of the total cases(n=1 736).Regarding population distribution,the top three were children in childcare institutions and scattered children(35.56％),farmers(24.65％),and students(12.62％).Except the additive Holt-Winters model,the predicted trends of the other four models were consistent with actuality.The ETS model had the best fitting effect,with a relatively balanced overall performance(training set:MAE=0.13,RMSE=0.21,MAPE=19.55％;testing set:MAE=0.11,RMSE=0.16,MAPE=28.66％).It is recommended to pre-dict the incidence of bacillary dysentery in Qinghai Province based on ETS model.Conclusion From 2014 to 2023,bacterial dysentery in Qinghai Province showed a downward trend,with the peak of the epidemic from June to Au-gust.Preschool and scattered children were high-risk groups.Among the five prediction models,ETS model has the best fitting effect,and can be used to predict the incidence of bacillary dysentery.

Objective:To investigate the longitudinal relationships among resilience, social support, and negative emotions in college students.Methods:Questionnaire surveys were administered to 1 739 college students from a university in Hebei Province born in the same year in November 2020 and November 2021 respectively, and 1 183 valid responses were finally obtained. The survey battery comprised the 11-item resilience scale, the social support questionnaire, and the 21-item depression anxiety stress scales. Cross-lagged panel analysis was conducted using Mplus 8.3 software. Mediating effects were tested via the Bootstrap method.Results:The scores of resilience, social support and negative emotion at T1 were 58 (51, 65), 57 (51, 66), and 3 (0, 10), respectively. The scores of resilience, social support and negative emotion at T2 were 59 (48, 66), 56 (44, 65), and 11 (1, 24), respectively. Resilience at T1 and T2 were significantly and positively correlated with social support at T1 and T2 ( r=0.66, 0.75, 0.40, 0.33, all P<0.01), while negatively correlated with negative emotion at T1 and T2( r=-0.45, -0.23, -0.26, -0.24, all P<0.01). Social support at T1 and T2 were negatively correlated with negative emotion at T1 and T2( r=-0.44, -0.28, -0.28, -0.28, all P<0.01). T1 resilience significantly and positively predicted T2 resilience ( β=0.35) and T2 social support ( β=0.15). T1 social support significantly and positively predicted T2 resilience ( β=0.07) and T2 social support ( β=0.35), while negatively predicted T2 negative emotion ( β=-0.15). T1 negative emotion significantly and negatively predicted T2 resilience ( β=-0.06) and T2 social support ( β=-0.07). The total effect of T1 resilience on T2 negative emotion was -0.35, and the mediating effect of T2 social support was -0.09, accounting for 25.71% of the total effect. Conclusion:T2 social support partially mediates the relationship between T1 resilience and T2 negative emotions.

Objective To establish the therapeutic effect prediction model of platelet transfusion in hematological patients,and receiver operating characteristic(ROC)curve and clinical cases are used to evaluate the clinical application value of the predic-tion model.Methods A total of 485 patients with hematological diseases who received platelet transfusion therapy in Kailuan General Hospital from January 2020 to December 2023 were selected,corrected count increment(CCI)was used to divide the patients into platelet transfusion effective group(n=340)and transfusion ineffective group(n=145).Multivariate Logistic regres-sion analysis was used to establish the prediction model of platelet infusion efficacy,and ROC curve was used to evaluate the application effect of the forcasting model.109 clinical cases were used to verify the practical application effect of the model,and the sensitivity,specificity and accuracy were calculated.Results Among 485 patients with hematological diseases,the incidence of ineffective platelet transfusion was 29.90%(145/485).Compated with the effective group,the ineffective group had more previous platelet transfusions was higher,and the difference was statistically significant(t=-4.435,P<0.05).In the ineffective group,there were more cases of hyperplenism,aplastic anemia and lymphoma,higher infection rate and higher positive rate of platelet antibody,and the differences were statistically significant(χ2=6.301～37.522,all P<0.05).Multivariate Logistic regres-sion analysis found that previous platelet infusion times,infection,leukemia,aplastic anemia and platelet antibodies were risk factors for ineffective platelet transfusion in patients with hematological diseases(Wald χ2=5.224～21.548,all P<0.05).Based on these risk factors,platelet infusion effect prediction models 1 and 2 were constructed.ROC curve was used to evaluate the application effect of the prediction model.The area under the curve(AUC),cut-offpoint,sensitivity and specificity of model 1 were 0.884,0.042,82.35%,88.89%.The AUC,cut-offpoint,corresponding sensitivity and specificity of prediction model 2 were 0.910,59.784,81.18%,94.44%,respectively.The Z values of model 1 and model 2 were 12.159 and 13.151,respectively.The prediction effect of model 2 was better than that of model 1.The actual application results showed that the sensitivity,specificity and accuracy of prediction model 1,2 were 85.71%,92.05%,90.89%and 90.48%,93.18%,92.66%,respectively.Conclusion The ineffective rate of platelet transfusion in hematological patients is relatively high.The prediction models 1 and 2 for platelet transfusion effectiveness have good results in predicting ineffective platelet transfusion,and prediction model 2 is better than pre-diction model 1,which can provide reliable basis for hematological patients on accurate platelet transfusion.

The development of 5G remote robot-assisted gastrointestinal surgery is an important breakthrough in remote surgery in the field of four-level surgery. This paper will review the development history of 5G remote robot assisted gastrointestinal surgery, and share the Gansu province people′s hospital in 5G remote robot assisted gastrointestinal surgery about preoperative preparation, network and equipment connection,“3+2” Trocar layout, safety emergency treatment mechanism of exploratory experience, for 5G remote robot assisted gastrointestinal surgery, and the status and prospect of 5G remote robot assisted gastrointestinal surgery.