[Objectives]To explore the effects of nursing intervention on the disposal of home medical waste for diabetic patients.[Methods]A total of 118 diabetic patients with insulin injection at home who visited a community s...[Objectives]To explore the effects of nursing intervention on the disposal of home medical waste for diabetic patients.[Methods]A total of 118 diabetic patients with insulin injection at home who visited a community service center in Shiyan City during November 2020 and September 2021 were selected as the research objects to implement the intervention,and the medical waste knowledge,attitude scores and standardized medical waste disposal were compared before and after the intervention.[Results]After the intervention,the patient's medical waste knowledge score was significantly higher than that before the intervention,and the medical waste disposal attitude score was significantly higher than that before the intervention.[Conclusions]If the nursing intervention based on Transtheoretical Model(TTM)of Behavioral Change penetrates deep into patients'families and communities,it is helpful to improve the knowledge and attitude of diabetic patients on home medical waste disposal,and regulate their home medical waste disposal behavior.展开更多
Crop traits such as aboveground biomass(AGB),total leaf area(TLA),leaf chlorophyll content(LCC),and thousand kernel weight(TWK)are important indices in maize breeding.How to extract multiple crop traits at the same ti...Crop traits such as aboveground biomass(AGB),total leaf area(TLA),leaf chlorophyll content(LCC),and thousand kernel weight(TWK)are important indices in maize breeding.How to extract multiple crop traits at the same time is helpful to improve the efficiency of breeding.Compared with digital and multispectral images,the advantages of high spatial and spectral resolution of hyperspectral images derived from unmanned aerial vehicle(UAV)are expected to accurately estimate the similar traits among breeding materials.This study is aimed at exploring the feasibility of estimating AGB,TLA,SPAD value,and TWK using UAV hyperspectral images and at determining the optimal models for facilitating the process of selecting advanced varieties.The successive projection algorithm(SPA)and competitive adaptive reweighted sampling(CARS)were used to screen sensitive bands for the maize traits.Partial least squares(PLS)and random forest(RF)algorithms were used to estimate the maize traits.The results can be summarized as follows:The sensitive bands for various traits were mainly concentrated in the near-red and red-edge regions.The sensitive bands screened by CARS were more abundant than those screened by SPA.For AGB,TLA,and SPAD value,the optimal combination was the CARS-PLS method.Regarding the TWK,the optimal combination was the CARS-RF method.Compared with the model built by RF,the model built by PLS was more stable.This study provides guiding significance and practical value for main trait estimation of maize inbred lines by UAV hyperspectral images at the plot level.展开更多
文摘[Objectives]To explore the effects of nursing intervention on the disposal of home medical waste for diabetic patients.[Methods]A total of 118 diabetic patients with insulin injection at home who visited a community service center in Shiyan City during November 2020 and September 2021 were selected as the research objects to implement the intervention,and the medical waste knowledge,attitude scores and standardized medical waste disposal were compared before and after the intervention.[Results]After the intervention,the patient's medical waste knowledge score was significantly higher than that before the intervention,and the medical waste disposal attitude score was significantly higher than that before the intervention.[Conclusions]If the nursing intervention based on Transtheoretical Model(TTM)of Behavioral Change penetrates deep into patients'families and communities,it is helpful to improve the knowledge and attitude of diabetic patients on home medical waste disposal,and regulate their home medical waste disposal behavior.
基金the National Key Research and Development Program(2016YFD0300202)the Inner Mongolia Science and technology project(2019ZD024,2019CG093,and 2020GG00038).
文摘Crop traits such as aboveground biomass(AGB),total leaf area(TLA),leaf chlorophyll content(LCC),and thousand kernel weight(TWK)are important indices in maize breeding.How to extract multiple crop traits at the same time is helpful to improve the efficiency of breeding.Compared with digital and multispectral images,the advantages of high spatial and spectral resolution of hyperspectral images derived from unmanned aerial vehicle(UAV)are expected to accurately estimate the similar traits among breeding materials.This study is aimed at exploring the feasibility of estimating AGB,TLA,SPAD value,and TWK using UAV hyperspectral images and at determining the optimal models for facilitating the process of selecting advanced varieties.The successive projection algorithm(SPA)and competitive adaptive reweighted sampling(CARS)were used to screen sensitive bands for the maize traits.Partial least squares(PLS)and random forest(RF)algorithms were used to estimate the maize traits.The results can be summarized as follows:The sensitive bands for various traits were mainly concentrated in the near-red and red-edge regions.The sensitive bands screened by CARS were more abundant than those screened by SPA.For AGB,TLA,and SPAD value,the optimal combination was the CARS-PLS method.Regarding the TWK,the optimal combination was the CARS-RF method.Compared with the model built by RF,the model built by PLS was more stable.This study provides guiding significance and practical value for main trait estimation of maize inbred lines by UAV hyperspectral images at the plot level.