目的明确某企业职业病危害因素并对其进行分析评价,提出合理可行的防护对策,保护劳动者健康。方法采用职业卫生调查、检查表法、工作场所职业病危害因素检测等方法对本建设项目进行评价。结果本项目生产过程中产生的职业危害因素有粉尘...目的明确某企业职业病危害因素并对其进行分析评价,提出合理可行的防护对策,保护劳动者健康。方法采用职业卫生调查、检查表法、工作场所职业病危害因素检测等方法对本建设项目进行评价。结果本项目生产过程中产生的职业危害因素有粉尘(炉渣尘、石灰石粉尘、金属粉尘、电焊烟尘)、铅烟、二氧化硒、铋及其化合物、氢氧化钠、盐酸、氯化物(氯气、氯化钠、氯化铵)、硫化物(二氧化硫、硫化钠、硫酸钠)、氨、铜及其化合物、砷及其化合物、镉及其化合物、锌及其化合物、碲及其化合物、锰及其化合物、噪声、高温、工频电场等,根据对该企业的检测结果显示:粉尘、铅烟、二氧化硒、氢氧化钠等检测结果均符合职业接触限值的要求;铅铋生产车间破碎操作工噪声强度测量结果为87.5 d B(A)、顶吹炉巡检工噪声强度测量结果为85.9 d B(A);工频电场测量结果均符合国家职业卫生接触限值的要求。结论本项目属职业病危害严重的建设项目,采取适当的控制职业病危害的措施后,在职业病危害控制方面是可行的。展开更多
Trend test in dose-response has been a central problem in medicine. This paper treats the problem of comparing umbrella pattern treatment effects. Under an ordered m × r × k table, this article considers tes...Trend test in dose-response has been a central problem in medicine. This paper treats the problem of comparing umbrella pattern treatment effects. Under an ordered m × r × k table, this article considers testing the hypothesis that all multinomial populations are conditional independence against the alternative that they are in an umbrella trend. For this hypothesis test problem, this article introduces a model-free test method by using likelihood ratio test statistic and gives the asymptotic distribution of the test statistic. Simulation study is conducted to compare the empirical power per- formed via the proposed method and others. Finally, two real data are studied to illustrate the validity of the proposed method.展开更多
文摘目的明确某企业职业病危害因素并对其进行分析评价,提出合理可行的防护对策,保护劳动者健康。方法采用职业卫生调查、检查表法、工作场所职业病危害因素检测等方法对本建设项目进行评价。结果本项目生产过程中产生的职业危害因素有粉尘(炉渣尘、石灰石粉尘、金属粉尘、电焊烟尘)、铅烟、二氧化硒、铋及其化合物、氢氧化钠、盐酸、氯化物(氯气、氯化钠、氯化铵)、硫化物(二氧化硫、硫化钠、硫酸钠)、氨、铜及其化合物、砷及其化合物、镉及其化合物、锌及其化合物、碲及其化合物、锰及其化合物、噪声、高温、工频电场等,根据对该企业的检测结果显示:粉尘、铅烟、二氧化硒、氢氧化钠等检测结果均符合职业接触限值的要求;铅铋生产车间破碎操作工噪声强度测量结果为87.5 d B(A)、顶吹炉巡检工噪声强度测量结果为85.9 d B(A);工频电场测量结果均符合国家职业卫生接触限值的要求。结论本项目属职业病危害严重的建设项目,采取适当的控制职业病危害的措施后,在职业病危害控制方面是可行的。
基金supported by the National Natural Science Foundation of China under Grant No.10771163
文摘Trend test in dose-response has been a central problem in medicine. This paper treats the problem of comparing umbrella pattern treatment effects. Under an ordered m × r × k table, this article considers testing the hypothesis that all multinomial populations are conditional independence against the alternative that they are in an umbrella trend. For this hypothesis test problem, this article introduces a model-free test method by using likelihood ratio test statistic and gives the asymptotic distribution of the test statistic. Simulation study is conducted to compare the empirical power per- formed via the proposed method and others. Finally, two real data are studied to illustrate the validity of the proposed method.
