为了解决现有阵列光幕测试系统无法对多个连续目标信号进行判断和识别和单元探测光幕易受外界干扰的难题,提出了利用相似性系数法对单元探测光幕中光电探测器阵列输出的干扰信号进行剔除,再根据D-S证据理论对阵列光幕探测系统输出信号的目标类型进行判断和识别的方法.研究目标穿过阵列光幕测试系统输出信号的特点,给出了以阵列光幕测试系统4个单元探测光幕为证据体下的输出信号目标类型的信度函数分配,再经过融合处理得到目标识别的结果.

新时代我国已进入轻度老龄化社会,农村人口老龄化问题更为凸出.完善农村养老服务体系能够破解农村人口老龄化问题.从参与养老服务主体的角度出发,构建政府主导的,家庭为基础,社区为依托,机构养老为补充,互联网技术提供科技支持的农村多元化养老服务体系.从参与养老服务的主体的角度提出养老服务体系实施的建议,提高农村老年人晚年生活幸福度.

目的 通过对体检数据的分析,了解该地区老年人的健康状况,为制定预防干预措施提供依据.方法 结合信息化手段收集在2020年5—7月参加某县健康体检的32872名65岁及以上老年人的体检数据,用大数据分析的方法对不同性别、年龄段的老年人的身体质量指数(BMI)、血压和血糖数据的分布情况、均值、差异和相关性进行分析.结果 该地区65岁及以上老年人超重、肥胖、高血压、高血糖的问题较严重,且不同性别和年龄段间有明显差异.结论 应重视体检的预防作用,加强健康教育,指导合理膳食,控制体质量,提高老人年健康水平.

Due to the COVID-19 outbreak, Wuhan was locked down from 23 January 2020 to 8 April 2020, a total of 76 days. It is well known that the electricity consumption is a direct reflection of human activity. During the lockdown of Wuhan, most of human activities were forbidden. The reduction in human activity would inevitably lead to a reduction in electricity consumption. At the same time, anthropogenic emissions of air pollutants would also be reduced with the reduction of human activity. In this study, the correlation between electricity consumption and air pollutants during lockdown was discussed in detail. The result showed that the drop in pollutants concentrations in January should be attributed to the washout effect of rainfall rather than the lockdown. The decrease of electricity consumption in the secondary industry might play a significant role on the decrease of PM2.5 and NO2 concentrations in Wuhan in February 2020. The decrease in NO2 concentration in March should be attributed to the reduction of pollutants emissions from the tertiary industry, which means that more attention should be paid to the control of NO2 emission in the tertiary industry. Due to reduced emissions from local sources, the role of long-range transport sources might be more significant during the lockdown of Wuhan. By PSCF analysis, southeast of Wuhan could be the major potential emission sources of PM2.5, especially in the northern part of Jiangxi province. It was suggested that stricter regulation of pollutants emissions should be implemented in this area.

The problem of environmental pollution was troubling people in many cities in China, especially PM2.5 pollution. Aiming to a better understanding the influence of long-range transport sources and health effect of PM2.5 in Ji'nan, a field observation was carried out in from 23 December 2016 to 25 April 2017. The results showed that primary organic carbon (POC), secondary organic carbon (SOC) and element carbon (EC) during observation in Ji'nan were 5.45, 2.59 and 2.76 mu g m(3), respectively. In heavy pollution days, OC and EC likely had similar primary emission and transmission sources. While the contribution of SOC increased in PM2.5 in clear days. Based on the potential source contribution function (PSCF) analysis, the emission sources leading to aggravation of PM2.5 pollution in Ji'nan were mainly distributed in the surrounding area of Ji'nan, especially in the eastern and southeastern Shandong. The risk assessment results show that the premature death caused by PM2.5 pollution could reach 666 people, and about 1.47% of total annual deaths in Ji'nan in 2016. The medical consumption related to PM2.5 pollution was about 202 millions USD, accounting for 2.05 parts per thousand of the GDP in Ji'nan in 2016. Lung cancer mortality caused the highest economic cost of 47.97 millions USD, followed by respiratory mortality, chronic bronchitis, cardiovascular mortality, and acute bronchitis.