After the application of RFID in domestic libraries, its outcomes and related problems were described, the authors pointed out that Internet of Things-based smart library is the future library direction.

OBJECTIVE: To explore the relationship of exposure to occupational hazards,labor intensity,dietary factors and the metabolic syndrome( MS) in male rolling mill workers. METHODS: A total of 1 105 male workers in a rolling mill were studied as research objects by judgment sampling method. The basic information of the subjects was collected by questionnaire survey and health examination. The prevalence of MS was analyzed according to different individual characteristics of workers. Multi-factor logistic regression analysis was conducted for analysis of the affecting factors of MS.RESULTS: The prevalence of MS in the subjects was 32. 5%( 359/1 105). The prevalence of MS in workers exposed to occupational hazards was higher than that in the control group( 33. 5% vs 20. 2%,P < 0. 05). The prevalence of MS increased with age( P < 0. 05),and decreased with the increase of labor intensity and family per capita monthly income( P < 0. 05). The prevalence of MS in smokers was higher than that in non-smokers( P < 0. 017),and the prevalence of MS in workers with animal dietary was higher than those with balanced dietary and with traditional dietary( P < 0. 017).The multivariate logistic regression analysis showed that after the adjustment of confounding factors such as age,seniority,family per capita monthly income,smoking and drinking,MS risk in a single factor of carbon monoxide exposure group,high temperature combined with carbon monoxide exposure group and high temperature combined with noise exposure group were higher than that of the control group without exposure to occupational hazards respectively( P < 0. 05),and the ratio of the 95% confidence interval were 2. 246( 1. 097-4. 597),2. 581( 1. 308-5. 094) and 2. 435( 1. 281-4. 627). The risk of MS in workers with animal dietary was higher than that with traditional dietary( P < 0. 01),the odds ratio and 95%confidence interval was 1. 497( 1. 106-2. 025). The grade of MS was 24. 6% lower than the original labor intensity with each increasing grade of risk( P < 0. 05). CONCLUSION: The animal dietary,increased labor intensity,exposure to carbon monoxide,high temperature combined with carbon monoxide and high temperature combined with noise can all increase the risk of MS.

Objective: To investigate the value of means of surfaces with nonhomogeneity (MSN) in esti-mating the incidence of pneumoconiosis. Methods: Based on the principal component analysis, all counties (districts) of Hebei Province, China, were divided into three categories according to the degree of pneumoconiosis hazards and the MSN model was used to estimate the incidence rate of pneumoconiosis and the number of pneu-moconiosis cases using the data of the incidence of pneumoconiosis in 2010. Results: With reference to the appli-cation requirements of the MSN model, results of the principal component analysis, and expert experience, the 172 counties (districts) in Hebei Province were divided into three categories with mild, moderate, and severe pneumoconiosis hazards. There were 74, 61, and 49 counties in the above categories, respectively, and 12, 12, and 25 counties were selected from them, respectively. The estimated number of pneumoconiosis cases in Hebei Province was 2105, and the incidence rate was 261.5 per hundred thousand, with a standard error of esti-mation of 389.9 per hundred thousand. Conclusion The MSN model provides a new thought and method for es-timating the number of pneumoconiosis cases.

Background Since the outbreak of the COVID-19 epidemic, staff of the centers for disease control and prevention (CDC) have been burdened with heavy epidemic prevention control, and excessive occupational stress can cause depression and other psychological problems. Objective To explore the status of occupational stress, resilience, and depression of CDC staff and potential relationships between them. Methods From December 2020 to April 2021, a survey was conducted at provincial and municipal levels, and the stratified cluster sampling method was used at county (district) level to select a total of 3514 samples. Their occupational stress, resilience, and depression status were evaluated using the Chinese Effort-Reward Imbalance Scale (ERI), the Chinese Connor-Davidson Resilience Scale (CD-RISC), and the Patient Health Questionnaire (PHQ-9). Independent sample t test, analysis of variance, χ² test, Pearson correlation analysis, and mediation test (structural equation model) were conducted. Results The positive rate of occupational stress was 34.29% in the CDC staff, the resilience score was 66.28±15.32, and the positive rate of depression was 48.58%. Significant differences were found in the positive rates of occupational stress among different groups of gender, age, education background, marital status, administrative duty, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P<0.05); in the resilience scores among different groups of gender, age, administrative duty, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P<0.05); in the positive rates of depression among different groups of gender, age, educational background, personal monthly income, weekly exercise frequency, chronic disease prevalence, and participation in epidemic control (P<0.05). Occupational stress was negatively correlated with resilience (r=−0.165, P<0.01). Resilience was negatively correlated with depression (r=−0.383, P<0.01). Occupational stress was positively correlated with depression (r=0.343, P<0.01). The structural equation embracing a partial mediating effect of resilience on the relationship occupational stress and depression was established, and the partial mediating effect was 0.039, accounting for 10.46% of the total effect. Conclusion High positive rates of occupational stress, reduced resilience, and depression are shown among CDC staff in the context of the COVID-19 epidemic, and resilience partially mediates the effect of occupational stress on depression. The study findings suggest that improving resilience may reduce occupational stress and depression in CDC staff.