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01 m/s to 0.53 m/s, and the capture velocity was increased by 98.1%. The time weighted average allowable concentration (C(TWA)) of silicon dust (total dust) during sand blasting, cabin opening and cleaning was reduced from 7.00 mg/m(3) to 0.50 mg/m(3). The C(TWA) of silica dust (exhalation dust) was decreased from 3.36 mg/m(3) to 0.27 mg/m(3), and the C(TWA) dust reduction rates of total dust and respirable dust were 92.9% and 92.0%, respectively. Conclusion The combination of cabinet type exhaust hood and water curtain dedusting optimizes the combination mode of dust prevention and control. It has the advantages of high efficiency of dedusting and purification, energy saving and environmental protection, and can be popularized and used in enterprises of the same nature.Objective To explore the risk factors of acute renal injury (AKI) in exertional heat radiation disease (EHS) . Methods In november 2019, the clinical data of 69 EHS patients admitted from July 2015 to September 2019 were reviewed. The general data, laboratory indexes, Glasgow score (GCS) at admission, 24-hour acute physiology and chronic health score Ⅱ (APACHE Ⅱ) , exposure time rate and physical labor intensity were collected. According to the occurrence of AKI, the patients were divided into AKI group and non-AKI group, 31 and 38 in each group. The differences of general data and laboratory indexes between the two groups were compared, and the t and Mann-Whitney U test were used to compare the two groups. The enumeration data are expressed by examples and constituent ratio (%) . Independent sample χ(2) test is used for inter-group comparison, and multiple test is used for multi-sample comparison. The correlation was analyzed by linear regression. Risk factors were analyzed by Logistic regression analysis. Results At discharge, 31 of 69 EHS patients developed AKI. Compared with the non-AKI group, the heart rate, white blood cell count, lactic acid, D-dimer and myoglobin were higher; MAP, platelet count and PH were lower in the AKI group. The difference was statistically significant (P less then 0.05) . APACHE Ⅱ score, core temperature, time to drop to 38.5 ℃, contact time rate, platelet count, pH, lactic acid, D-dimer and myoglobin were all correlated with creatinine (r=0.57, 0.42, 0.80, 0.78, 0.57, 0.43, 0.51, 0.55, 0.79) . APACHE Ⅱ score, time to drop to 38.5C, Lac and MYO are the risk factors of AKI in EHS patients. Multivariate Logistic regression analysis showed that the time required to drop to 38.5C was an independent risk factor for the occurrence of AKI. Conclusion AKI is a serious complication of EHS. EHS complicated with AKI, should be identified early and effective intervention measures should be taken.Objective To explore the self-conscious health status and related influencing factors of greenhouse agricultural workers in Beijing suburb, so as to provide scientific basis for developing strategies to improve and promote the occupational health conditions of those workers. Methods According to the production characteristics and scale of the main agricultural districts or counties in the suburb of Beijing, 182 agricultural production personnel were randomly selected to investigate the general situation, occupational situation and self-conscious health status during June 2018 to December 2019. The relevant factors which may affect the self-conscious health conditions were also analyzed by statistical methods. Results The detection or reported rate of self-conscious health problems was 51.6% (94/182) , among which 29.1% (53/182) workers reported musculoskeletal disorder diseases and 21.4% (39/182) workers reported nervous system diseases. And the self-conscious health status of greenhouse agricultural workers in Beijing suburb.Objective To explore the relationship between input and output of occupational health funds, and to provide basis for relevant departments to make decisions. Methods In September 2018, a state-owned iron ore in Hebei Province (mining history of more than 10 years, which can represent the general type of iron ore) was selected as the research object. Through the investigation and collection of enterprise general situation, occupational health input, loss and output related indicators, the iron mine occupational health expenditure input-output table and model were established, and the digital relationship between the investment and output was solved by MATLAB software. Results The labor consumption in the departments of underground mining, open pit mining, crushing and rock discharging, transportation, tailings and mineral processing (taking labor wages as reference) were 756.46, 1.281.78, 987.61, 1 570.71, 50.956 and 18.9116 million yuan/year respectively. The output value of each sector is 11 207.19, 18 989.95, 15 176.40, 25 294.00, 7.704.94 and 280.1797 million yuan/year respectively. The ratio of health input to total output was 0.004 5, and the ratio of occupational health input to output was 1/0.046. Conclusion The input-output table model of occupational health in iron mine can reflect the relationship between input and output of occupational health funds. The input situation of the coal mine is poor, and the input does not bring obvious occupational health benefits.Objective To identify the differential expression of Peroxiredoxin 4 (PRDX4) in alveolar macrophages (AMs) from patients with silicosis in different phases using Western blot. Methods From June 2017 to June 2018, Twelve pneumoconiosis patients in the pneumoconiosis Department of Beidaihe Sanitarium were selected by random sampling. A msong them, there were 4 groups, that was lung with dust, silicosis with grade one, silicosis with grade two, silicosis with grade three. There were 3 persons in each group, a total of 12. AMs was obtained by filtration and centrifugation. Tretinoin The intracellular protein was extracted and PRDX4 was detected by using Western blot method. Results It results showed that PRDX4 was expressed in AMs in 4 groups; with the increase of fibrosis, the average relative expression of PRDX4 in AMs was 0.258±0.026, 0.214±0.012, 0.180±0.004, 0.165±0.008. The highest expression level was in the lung with dust group, and the lowest was in the silicosis with grade three group. The difference of the expression level of PRDX4 protein in AMs between groups was statistically significant (P less then 0.