Objective: Based on the theory of perceived organizational support (POS), conservation of resource (COR) and job demands-resources (JD-R) model, this study establishes a moderated mediation model to test the role of job satisfaction in mediating the relationship between POS and job burnout, as well as the role of regulatory emotional self-efficacy (RES) in moderating the above mediating process.Methods: A total of 784 police officers were surveyed with the POS Scale, the Job Burnout Questionnaire, the RES Scale, and the Minnesota Job Satisfaction Questionnaire.Results: (1) After controlling for gender, seniority, age, police classification, education, and marital status, regression analysis showed a significant negative correlation between POS and burnout (r = −0.42, p < 0.01), and the former had a significant negative predictive effect on job burnout (β = −0.42, p < 0.001). (2) The mediating effect test shows that job satisfaction plays a partial role in mediating the relationship between POS and job burnout. (3) Through the analysis of the moderated mediation model test, RES moderates the first half of the path of "POS → job satisfaction → job burnout." Conclusion:POS not only directly affects police job burnout but also indirectly affects police job burnout through job satisfaction. RES enhances the influence of organizational support on job satisfaction. This study indicates the combined effect of POS, job satisfaction, and RES on job burnout and has certain guiding significance for alleviating police job burnout.

Handan is one of the most polluted coal mining cities in the North China Plain (NCP). There is a lack of research on the pollution characteristics and sources of carbonaceous components in PM2.5 in Handan city. Atmospheric PM2.5 samples were collected from Handan City during 2018 and the organic carbon (OC) and elemental carbon (EC) in PM2.5 were analyzed with a carbon analyzer. The annual average mass concentrations of PM2.5 and total carbon (TC = OC + EC) in Handan were (101.88 ± 79.01) μg/m3 and (28.03 ± 23.28) μg/m3, respectively. The annual average ratio of TC/PM2.5 was (28.29% ± 7.95%), indicating that carbonaceous components made a major contribution to PM2.5. The seasonal variations of OC and EC concentrations in PM2.5 were consistent with PM2.5, which was higher in winter and lower in summer. The annual average OC/EC ratio was (10.33 ± 5.83), and the (OC/EC)min ratio for each season was greater than 2, suggesting that there was probably secondary organic carbon (SOC) formation all around the year. The correlations between OC and EC during spring and winter were much more significant than during summer and autumn, which indicated that the sources of OC and EC in summer and autumn were more complex. Principal component analysis (PCA) displayed that the main sources of carbonaceous components in PM2.5 were coal combustion emission, road dust and vehicle exhaust, which may be related to coal-fired power generation and steelmaking, and coal transportation in Handan city. The potential source contribution function (PSCF) analysis demonstrated that PM2.5 and carbonaceous components in Handan city were significantly influenced by both local emissions and regional transport during the observation period.

To better understand the changes in air pollutants in an industrial city, Handan, North China, during the COVID-19 lockdown period, the air quality and meteorological conditions were recorded from 1 January to 3 March 2020 and the corresponding period in 2019. Compared to the corresponding period in 2019, the largest reduction in PM2.5–10, PM2.5, NO2 and CO occurred during the COVID-19 lockdown period. PM2.5–10 displayed the highest reduction (66.6%), followed by NO2 (58.4%) and PM2.5 (50.1%), while O3 increased by 13.9%. Similarly, compared with the pre-COVID-19 period, NO2 significantly decreased by 66.1% during the COVID-19 lockdown, followed by PM2.5–10 (45.9%) and PM2.5 (42.4%), while O3 increased significantly (126%). Among the different functional areas, PM2.5 and PM2.5–10 dropped the most in the commercial area during the COVID-19 lockdown. NO2 and SO2 decreased the most in the traffic and residential areas, respectively, while NO2 increased only in the township and SO2 increased the most in the industrial area. O3 increased in all functional areas to different extents. Potential source contribution function analysis indicated that not only the local air pollution lessened, but also long-distance or inter-regional transport contributed much less to heavy pollution during the lockdown period. These results indicate that the COVID-19 lockdown measures led to significantly reduced PM and NO2 but increased O3, highlighting the importance of the synergetic control of PM2.5 and O3, as well as regional joint prevention and the control of air pollution. Moreover, it is necessary to formulate air pollution control measures according to functional areas on a city scale.

No abstract

N6-methyladenosine (m6A) modification is one of the most abundant RNA modification methods in the eukaryote. It was reported that abnormal expression of m6A-related genes is closely associated with the tumorigenesis and progression of glioma. However, the role of m6A RNA methylation in the development of glioma is still unclear. In the current study, we defined m6A-related clusters in glioma cohorts from The Cancer Genome Atlas (TCGA) database which exhibited distinct outcomes in OS. From differentially expressed genes between these clusters, m6A-associated prognostic genes were further narrowed down. Eventually, FRA10AC1, GPR85, MARCHF5, and NUAK2 were selected to form the m6Amethylation-based prognostic signature (MMS) of glioma by Cox and LASSO regression analysis. Subsequently, the efficacy and effectiveness of MMS were examined in the training, testing, and whole groups. Kaplan-Meier survival curve indicated high- and low-risk subgroups divided by MMS showed significantly different OS, and the AUCs of MMS reached 0.75 in all groups. In combined analysis with other clinical-pathological factors, MMS was proved as an independent predictive standard of glioma prognosis. In addition, gene enrichment revealed changes in signaling pathways, biological processes and hallmark gene sets between high- and low-risk subgroups. Last but not least, potential therapeutic molecules for the high-risk patient with MMS were subsequently explored. In general, our study provided MMS, a novel molecular panel closely associated with m6A methylation that holds high efficacy in predicting the prognosis of glioma.