Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 ...Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 to 2022.The results indicated that the reconstructed annual mean wind speed and the standard deviation of the annual mean wind speed,utilizing various climate variability indices,exhibited similar spatial modes to the reanalysis data,with spatial correlation coefficients of 0.99 and 0.94,respectively.In the reconstruction of six major wind power installed capacity provinces/autonomous regions in China,the effects were notably good for Hebei and Shanxi provinces,with the correlation coefficients for the interannual regional average wind speed time series being 0.65 and 0.64,respectively.The reconstruction effects of surface wind speed differed across seasons,with spring and summer reconstructions showing the highest correlation with reanalysis data.The correlation coefficients for all seasons across most regions in China ranged between 0.4 and 0.8.Among the reconstructed seasonal wind speeds for the six provinces/autonomous regions,Shanxi Province in spring exhibited the highest correlation with the reanalysis,with a coefficient of 0.61.The large-scale climate variability indices showed good reconstruction effects on the annual mean wind speed in China,and could explain the interannual variability trends of surface wind speed in most regions of China,particularly in the main wind energy provinces/autonomous regions.展开更多
目的:探讨基于"整体观"的2型糖尿病(T2DM)中医慢病管理模式应用效果,为未来T2DM中医管理方案拟定提供参考。方法:选取2018年1月-2019年6月广东省中医院珠海医院收治的120例T2DM患者为研究对象,以随机数字表法、单盲法分为A组...目的:探讨基于"整体观"的2型糖尿病(T2DM)中医慢病管理模式应用效果,为未来T2DM中医管理方案拟定提供参考。方法:选取2018年1月-2019年6月广东省中医院珠海医院收治的120例T2DM患者为研究对象,以随机数字表法、单盲法分为A组(60例,行基于"整体观"的中医慢病管理模式干预)、B组(60例,行常规慢病管理干预),最终随访获得113例完整资料,7例失访(A组失访3例,B组失访4例),总失访率为5.8%。于干预前、干预12个月后检测并比较两组生化指标[空腹血糖(FBG)、餐后2 h血糖(2 h PG)、糖化血红蛋白(HbA1c)、甘油三酯(TG)、尿微量蛋白/肌酐(ACR)],比较两组自我管理行为、生存质量、中医症候积分,记录两组干预12个月内T2DM综合控制目标达标率及并发症发生情况。结果:干预后,A组FBG、2 h PG、HbA1c、TG、ACR水平均低于B组(P<0.05);A组糖尿病自我管理行为量表(SDSCA)评分高于B组,糖尿病生存质量特异性量表(DSQL)评分、中医症候量化积分低于B组(P<0.05);干预12个月内,A组T2DM综合控制目标达标率高于B组,并发症总发生率低于B组(P<0.05)。结论:T2DM患者采用基于"整体观"的中医慢病管理模式干预更利于改善患者生化指标及主要症状,提高自我管理行为及T2DM综合控制目标达标率,改善生活质量,减少并发症发生。展开更多
基金the National Natural Science Foundation of China(42176243)。
文摘Using European Centre for Medium-Range Weather Forecasts Reanalysis V5(ERA5)reanalysis data,this study investigated the reconstruction effects of various climate variabilities on surface wind speed in China from 1979 to 2022.The results indicated that the reconstructed annual mean wind speed and the standard deviation of the annual mean wind speed,utilizing various climate variability indices,exhibited similar spatial modes to the reanalysis data,with spatial correlation coefficients of 0.99 and 0.94,respectively.In the reconstruction of six major wind power installed capacity provinces/autonomous regions in China,the effects were notably good for Hebei and Shanxi provinces,with the correlation coefficients for the interannual regional average wind speed time series being 0.65 and 0.64,respectively.The reconstruction effects of surface wind speed differed across seasons,with spring and summer reconstructions showing the highest correlation with reanalysis data.The correlation coefficients for all seasons across most regions in China ranged between 0.4 and 0.8.Among the reconstructed seasonal wind speeds for the six provinces/autonomous regions,Shanxi Province in spring exhibited the highest correlation with the reanalysis,with a coefficient of 0.61.The large-scale climate variability indices showed good reconstruction effects on the annual mean wind speed in China,and could explain the interannual variability trends of surface wind speed in most regions of China,particularly in the main wind energy provinces/autonomous regions.
文摘目的:探讨基于"整体观"的2型糖尿病(T2DM)中医慢病管理模式应用效果,为未来T2DM中医管理方案拟定提供参考。方法:选取2018年1月-2019年6月广东省中医院珠海医院收治的120例T2DM患者为研究对象,以随机数字表法、单盲法分为A组(60例,行基于"整体观"的中医慢病管理模式干预)、B组(60例,行常规慢病管理干预),最终随访获得113例完整资料,7例失访(A组失访3例,B组失访4例),总失访率为5.8%。于干预前、干预12个月后检测并比较两组生化指标[空腹血糖(FBG)、餐后2 h血糖(2 h PG)、糖化血红蛋白(HbA1c)、甘油三酯(TG)、尿微量蛋白/肌酐(ACR)],比较两组自我管理行为、生存质量、中医症候积分,记录两组干预12个月内T2DM综合控制目标达标率及并发症发生情况。结果:干预后,A组FBG、2 h PG、HbA1c、TG、ACR水平均低于B组(P<0.05);A组糖尿病自我管理行为量表(SDSCA)评分高于B组,糖尿病生存质量特异性量表(DSQL)评分、中医症候量化积分低于B组(P<0.05);干预12个月内,A组T2DM综合控制目标达标率高于B组,并发症总发生率低于B组(P<0.05)。结论:T2DM患者采用基于"整体观"的中医慢病管理模式干预更利于改善患者生化指标及主要症状,提高自我管理行为及T2DM综合控制目标达标率,改善生活质量,减少并发症发生。