Objective To analyze the emergency testing results of a mixed poisoning incident involving methyl acetate and dimethyl carbonate in a composite fabric processing enterprise. Methods A mixed poisoning incident involving methyl acetate and dimethyl carbonate occurred at a composite fabric processing enterprise in a city of Guangdong Province. On-site occupational health investigation data and laboratory testing results related to this incident were collected, and an integrated analysis was conducted. Results The on-site occupational health investigation revealed inadequate ventilation and non-standard use of personal protective equipment. Volatile organic component analysis of raw and auxiliary materials showed that methyl acetate and dimethyl carbonate had relatively high percentages of peak area among all used volatile organic chemical agents in post-incident emergency testing, accounting for 65.10% and 38.25%, respectively. The exposure concentration of short term (C_STE) of methyl acetate in the production line air was 15.13 mg/m³. In the chemical storage area, C_STE of methyl acetate and methanol were 451.04 and <0.21 mg/m³, respectively, all below their respective occupational exposure limits (500.00 and 50.00 mg/m³). In the poisoned workers, blood methanol, blood formic acid, and urinary formic acid levels were 147, 414, and 4 389 mg/L, respectively. Conclusion Occupational exposure to methyl acetate and dimethyl carbonate may lead to acute occupational poisoning and cause health damage. Employers should fulfill their responsibilities for occupational disease prevention by ensuring proper operation of protective facilities, while workers should enhance awareness of occupational disease prevention and correctly use personal protective equipment.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Dissemination of legal knowledge is a fundamental component of establishing the rule of law.Effective imple-mentation of legal education is of paramount importance for enhancing the capacity of public hospitals to govern in accordance with legal frameworks while mitigating institutional risks.Confronting challenges including insufficient legal awareness among staff,scarcity of specialized personnel,and work-education conflicts during implementation,the Sixth Affiliated Hospital,of Sun Yat-sen University has adopted a multidimensional strategy.This approach involved clarifying departmental accountability,optimizing internal regulatory frameworks,leveraging leadership engagement from key administrators,and targeting high-risk domains such as clinical practice and procurement management.Through these efforts,the hospital has fostered a concerted force for law popu-larization,solidified its foundation,intensified its efforts,and developed distinctive approaches in this regard.Consequently,it has achieved certain results in law popularization,with its system gradually improving,a significant enhancement in legal aware-ness,a steady decline in complaints and disputes,and successful support for the review of its tertiary hospital status.These a-chievements provide actionable insights for law popularization efforts in public hospitals.

BACKGROUND: Cardiovascular disease (CVD) is the predominant cause of mortality in China. However, the mechanisms linking sarcopenia to CVD remain poorly understood, particularly in normal-weight populations. Individuals with the absence of overweight or obesity may tend to experience missed opportunities for timely intervention. This study aimed to investigate the longitudinal association between sarcopenia and incidence of new-onset CVD in a normal-weight population, and to examine the mediating effect of functional limitation in this relationship. METHODS: We conducted a closed-cohort analysis using a nationwide sample of 4,147 middle-aged and older adults with normal weight in China. We performed Cox proportional hazards regression analysis to explore the associations of baseline sarcopenia with incident CVD. The difference method was applied to estimate the mediation proportion of functional limitation in this association. RESULTS: Over a mean follow-up period of 7.62 years, CVD occurred in 835 participants. In the multivariable-adjusted Cox model, individuals with sarcopenia exhibited a significantly higher likelihood of developing incident CVD compared to those without sarcopenia (adjusted hazard ratio [aHR] = 1.45, 95% confidence interval [CI]: 1.21-1.73, P < 0.001). Similar associations were observed for the incidence of heart disease and stroke. Functional limitation accounted for approximately 15.0% of the total effect of sarcopenia on incident CVD (P < 0.001). CONCLUSIONS Sarcopenia exerts both direct and indirect effects on incident CVD among middle-aged and older adults who are normal weight, with functional limitation serving as a significant mediator. Interventions targeting both sarcopenia and functional limitation may offer a promising strategy for enhancing cardiovascular health in this population.
Humans ; Sarcopenia/complications* ; China/epidemiology* ; Male ; Female ; Middle Aged ; Cardiovascular Diseases/etiology* ; Aged ; Incidence ; Cohort Studies ; Proportional Hazards Models ; Risk Factors ; Aged, 80 and over ; Longitudinal Studies

Dissemination of legal knowledge is a fundamental component of establishing the rule of law.Effective imple-mentation of legal education is of paramount importance for enhancing the capacity of public hospitals to govern in accordance with legal frameworks while mitigating institutional risks.Confronting challenges including insufficient legal awareness among staff,scarcity of specialized personnel,and work-education conflicts during implementation,the Sixth Affiliated Hospital,of Sun Yat-sen University has adopted a multidimensional strategy.This approach involved clarifying departmental accountability,optimizing internal regulatory frameworks,leveraging leadership engagement from key administrators,and targeting high-risk domains such as clinical practice and procurement management.Through these efforts,the hospital has fostered a concerted force for law popu-larization,solidified its foundation,intensified its efforts,and developed distinctive approaches in this regard.Consequently,it has achieved certain results in law popularization,with its system gradually improving,a significant enhancement in legal aware-ness,a steady decline in complaints and disputes,and successful support for the review of its tertiary hospital status.These a-chievements provide actionable insights for law popularization efforts in public hospitals.

ObjectiveTo conduct a bibliometric analysis on the research status of occupational pneumoconiosis (hereinafter referred to as "pneumoconiosis") severity assessment indicators. Methods The domestic and foreign articles on the research of pneumoconiosis severity assessment indicators were accessed from China National Knowledge Infrastructure, Wanfang Data, VIP Database, China Biomedical Literature Service System, PubMed, Cochrane Library, and Web of Science. The methodological quality evaluation and analysis of severity assessment indicators were performed with the relevant articles. Results A total of 88 relevant articles on pneumoconiosis severity assessment indicators were included. The overall evaluation of the literature with good-, moderate-, and poor-quality articles accounted for 18.18%, 69.32%, and 12.50%, respectively. The median sample size reported in each article was 86 cases. The articles reporting the stage of pneumoconiosis accounted for 81.82%, and 80.68% reported the types of pneumoconiosis which was mainly simple silicosis and coal worker's pneumoconiosis. Only 12 articles reported two or more types of pneumoconiosis. A total of 122 severity assessment indicators in four categories were reported in 88 articles, including 99 physiological and biochemical indicators, 10 imaging indicators, six symptoms and signs indicators, and seven other indicators. The articles used a single severity assessment indicator to assess the severity of pneumoconiosis accounted for 76.14%, while 23.86% of the articles used multiple severity assessment indicators, and only 5.68% of the articles selected specific severity assessment indicators for pneumoconiosis patients in different stages. Conclusion The quality of research on pneumoconiosis severity assessment is relatively low. The applicability of the combined use of severity assessment indicators is poor and confused.

Emotion plays an important role in people's cognition and communication. By analyzing electroencephalogram (EEG) signals to identify internal emotions and feedback emotional information in an active or passive way, affective brain-computer interactions can effectively promote human-computer interaction. This paper focuses on emotion recognition using EEG. We systematically evaluate the performance of state-of-the-art feature extraction and classification methods with a public-available dataset for emotion analysis using physiological signals (DEAP). The common random split method will lead to high correlation between training and testing samples. Thus, we use block-wise
Arousal ; Electroencephalography ; Emotions ; Humans ; Memory, Short-Term ; Neural Networks, Computer