Though prior research has identified that gratitude is associated with benign/malicious envy(BeMaS).The pur-pose of this study was to explore the causal relationship between gratitude and BeMaS among Chinese adoles-cen...Though prior research has identified that gratitude is associated with benign/malicious envy(BeMaS).The pur-pose of this study was to explore the causal relationship between gratitude and BeMaS among Chinese adoles-cents.The two-wave study,in which 906 adolescents participated,includes measurements of gratitude and BeMaS.We employed the structural equation models to test the cross-lagged effect between trait gratitude and BeMaS.The results showed that gratitude could positively predict benign envy and could negatively predict mal-icious envy.Besides,there was no evidence for the reverse or reciprocal relationships between gratitude and BeMaS.Thefindings provide further evidence about the causal relationship between gratitude and BeMaS among adolescents.Moreover,these results have implications for gratitude interventions that promote the constructive meaning of envy and reduce the negative influence of envy.展开更多
MODIS数据具有高时相分辨率、高光谱分辨率和中等地面分辨率的特征,利用MODIS数据来监测和提取旱情严重地区的水体信息已经成为一个重要的研究方向.本文利用各类地物在MODIS各个波段上的波谱特征差异性进行水体提取,但与以往水体信息提...MODIS数据具有高时相分辨率、高光谱分辨率和中等地面分辨率的特征,利用MODIS数据来监测和提取旱情严重地区的水体信息已经成为一个重要的研究方向.本文利用各类地物在MODIS各个波段上的波谱特征差异性进行水体提取,但与以往水体信息提取方法有创新之处在于:本文借助于非线性的指数函数对低反射的水体的反射率进行了拉伸而对高反射的非水体地物的反射率进行了压缩,从而提高了水体在短波红外上的反射率而抑制了非水体在红波段上的反射率,通过波段间的归一化处理进而构建出EXPWI(EXP Water Index)方法 .为了更进一步地提高水体信息提取的自动化程度,本文用ENVI/IDL编写了EXPWI模型.研究表明利用IDL编写的EXPWI法快速实现了中等分辨率遥感影像中水体信息的自动提取,能有效的抑制背景地物的干扰而清晰的识别出湖泊、河道和地表的微弱水体信息,而且能有效降低云对水体信息提取的干扰,更重要的是在抑制大气噪音对提取结果的干扰方面,EXPWI法的效果很好.展开更多
基金supported by Department of Education Project of Hunan Province of China(Grant No.2019291174).
文摘Though prior research has identified that gratitude is associated with benign/malicious envy(BeMaS).The pur-pose of this study was to explore the causal relationship between gratitude and BeMaS among Chinese adoles-cents.The two-wave study,in which 906 adolescents participated,includes measurements of gratitude and BeMaS.We employed the structural equation models to test the cross-lagged effect between trait gratitude and BeMaS.The results showed that gratitude could positively predict benign envy and could negatively predict mal-icious envy.Besides,there was no evidence for the reverse or reciprocal relationships between gratitude and BeMaS.Thefindings provide further evidence about the causal relationship between gratitude and BeMaS among adolescents.Moreover,these results have implications for gratitude interventions that promote the constructive meaning of envy and reduce the negative influence of envy.
文摘MODIS数据具有高时相分辨率、高光谱分辨率和中等地面分辨率的特征,利用MODIS数据来监测和提取旱情严重地区的水体信息已经成为一个重要的研究方向.本文利用各类地物在MODIS各个波段上的波谱特征差异性进行水体提取,但与以往水体信息提取方法有创新之处在于:本文借助于非线性的指数函数对低反射的水体的反射率进行了拉伸而对高反射的非水体地物的反射率进行了压缩,从而提高了水体在短波红外上的反射率而抑制了非水体在红波段上的反射率,通过波段间的归一化处理进而构建出EXPWI(EXP Water Index)方法 .为了更进一步地提高水体信息提取的自动化程度,本文用ENVI/IDL编写了EXPWI模型.研究表明利用IDL编写的EXPWI法快速实现了中等分辨率遥感影像中水体信息的自动提取,能有效的抑制背景地物的干扰而清晰的识别出湖泊、河道和地表的微弱水体信息,而且能有效降低云对水体信息提取的干扰,更重要的是在抑制大气噪音对提取结果的干扰方面,EXPWI法的效果很好.
