The fusion of digital technology and education has ushered in an era of intelligent educational environment.The course of Political Economy in colleges and universities not only imparts economic knowledge and cultivat...The fusion of digital technology and education has ushered in an era of intelligent educational environment.The course of Political Economy in colleges and universities not only imparts economic knowledge and cultivates financial quotient,but also bears the important task of improving students ideological and moral character.It is worth exploring how to effectively use digital technology to integrate ideological and political education into political economy more accurately.On the basis of building the ideological and political education system of political economy course,this paper explores the practical path of ideological and political education in the era of digital intelligence from three aspects:"before class","during class"and"after class".展开更多
Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change.In this study,eukaryotic phytoplankton in the Pearl River Estua...Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change.In this study,eukaryotic phytoplankton in the Pearl River Estuary,South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 23S rRNA genes and pigment analysis.It was found that 18S abundance poorly explained the variations in total chlorophyll a(Chl-a).However,the ratios of log-transformed 18S abundance to Chl-a in the major phytoplankton groups were generally environment dependent,suggesting that the ratio has potential as an indicator of the physiological state of phytoplankton.The richness of 18S-based operational taxonomic units was positively correlated with the richness of 16S-based amplicon sequence variants of the whole phytoplankton community,but insignifcant or weak for individual phytoplankton groups.Overall,the 18S based,rather than the 16S based,community structure had a greater similarity to pigment-based estimations.Relative to the pigment data,the proportion of haptophytes in the 18S dataset,and diatoms and cryptophytes in the 16S dataset,were underestimated.This study highlights that 18S metabarcoding tends to refect biomass-based community organization of eukaryotic phytoplankton.Because there were lower copy numbers of plastid 16S than 18S per genome,metabarcoding of 16S probably approximates cell abundance-based community organization.Changes in biomass organization of the pigment-based community were sensitive to environmental changes.Taken together,multiple methodologies are recommended to be applied to more accurately profle the diversity and community composition of phytoplankton in natural ecosystems.展开更多
基金Quality Engineering and Teaching Reform Project of Zhaoqing University in 2022(zlgc202209)Education Research Project of Zhaoqing Education Development Research Institute in 2023(ZQJYY2023025).
文摘The fusion of digital technology and education has ushered in an era of intelligent educational environment.The course of Political Economy in colleges and universities not only imparts economic knowledge and cultivates financial quotient,but also bears the important task of improving students ideological and moral character.It is worth exploring how to effectively use digital technology to integrate ideological and political education into political economy more accurately.On the basis of building the ideological and political education system of political economy course,this paper explores the practical path of ideological and political education in the era of digital intelligence from three aspects:"before class","during class"and"after class".
基金This work was supported by the National Natural Science Foundation of China(nos.41976128 and 31970486)the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(no.311021004).
文摘Understanding consistencies and discrepancies in characterizing diversity and quantity of phytoplankton is essential for better modeling ecosystem change.In this study,eukaryotic phytoplankton in the Pearl River Estuary,South China Sea were investigated using nuclear 18S rRNA and plastid 16S or 23S rRNA genes and pigment analysis.It was found that 18S abundance poorly explained the variations in total chlorophyll a(Chl-a).However,the ratios of log-transformed 18S abundance to Chl-a in the major phytoplankton groups were generally environment dependent,suggesting that the ratio has potential as an indicator of the physiological state of phytoplankton.The richness of 18S-based operational taxonomic units was positively correlated with the richness of 16S-based amplicon sequence variants of the whole phytoplankton community,but insignifcant or weak for individual phytoplankton groups.Overall,the 18S based,rather than the 16S based,community structure had a greater similarity to pigment-based estimations.Relative to the pigment data,the proportion of haptophytes in the 18S dataset,and diatoms and cryptophytes in the 16S dataset,were underestimated.This study highlights that 18S metabarcoding tends to refect biomass-based community organization of eukaryotic phytoplankton.Because there were lower copy numbers of plastid 16S than 18S per genome,metabarcoding of 16S probably approximates cell abundance-based community organization.Changes in biomass organization of the pigment-based community were sensitive to environmental changes.Taken together,multiple methodologies are recommended to be applied to more accurately profle the diversity and community composition of phytoplankton in natural ecosystems.
