The grain size structure of phytoplankton has great influence on shellfish culture.The present study aimed to assess the spatial and temporal variation in the phytoplankton community structure in the Yalu River Estuar...The grain size structure of phytoplankton has great influence on shellfish culture.The present study aimed to assess the spatial and temporal variation in the phytoplankton community structure in the Yalu River Estuary and to explore the relationship between the phytoplankton community structure and various environmental parameters in 2020.High-throughput sequencing was used in this study.The results showed that nanophytoplankton,especially Karlodinium veneficum,dominated the estuary throughout the year.The biomass ratio of picophytoplankton,nanophytoplankton,and microphytoplankton were 20:63:17 in spring,30:44:26 in summer,1:38:61 in autumn,and 2:45:53 in winter,respectively.Meanwhile,Dinophyta had the greatest biomass throughout the year,followed by Bacillariophyta.On the spatial dimension(Station average),COD,T,SST had a positive impact on total phytoplankton communities,and Dep had a negative impact.In the time dimension(Monthly average),the environmental factor that significantly controlled the phytoplankton community structure were NO2 and SST.展开更多
With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research ...With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research topics,topic evolutions,research collaborations,and potential directions of this research field,this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods.Python is used as a tool for bibliometric analysis,Gephi is used for social network analysis,and the Latent Dirichlet Allocation model is used for topic modeling.The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts.In terms of journals,Nature Communications is the most influential journal and Scientific Reports is the most prolific one.The United States and Harvard University have contributed the most to cancer research using machine learning methods.As for the research topic,“Support Vector Machine,”“classification,”and“deep learning”have been the core focuses of the research field.Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods,as well as to have a deeper understanding of research hotspots.展开更多
基金This research was funded by outstanding young scientific and technological personnel of Dalian(2019RJ09)The Applied Basic Research Plan of Liaoning Province(2022010280)+2 种基金Liaoning revitalization talents program(XLYC1907109)Modern Agro-industry Technology Research System(CARS-49)Liaoning Marine and fishery scientific research projects(201828,201824)。
文摘The grain size structure of phytoplankton has great influence on shellfish culture.The present study aimed to assess the spatial and temporal variation in the phytoplankton community structure in the Yalu River Estuary and to explore the relationship between the phytoplankton community structure and various environmental parameters in 2020.High-throughput sequencing was used in this study.The results showed that nanophytoplankton,especially Karlodinium veneficum,dominated the estuary throughout the year.The biomass ratio of picophytoplankton,nanophytoplankton,and microphytoplankton were 20:63:17 in spring,30:44:26 in summer,1:38:61 in autumn,and 2:45:53 in winter,respectively.Meanwhile,Dinophyta had the greatest biomass throughout the year,followed by Bacillariophyta.On the spatial dimension(Station average),COD,T,SST had a positive impact on total phytoplankton communities,and Dep had a negative impact.In the time dimension(Monthly average),the environmental factor that significantly controlled the phytoplankton community structure were NO2 and SST.
基金Natural Science Foundation of Guangdong Province,Grant/Award Number:2021A1515011339。
文摘With the progress and development of computer technology,applying machine learning methods to cancer research has become an important research field.To analyze the most recent research status and trends,main research topics,topic evolutions,research collaborations,and potential directions of this research field,this study conducts a bibliometric analysis on 6206 research articles worldwide collected from PubMed between 2011 and 2021 concerning cancer research using machine learning methods.Python is used as a tool for bibliometric analysis,Gephi is used for social network analysis,and the Latent Dirichlet Allocation model is used for topic modeling.The trend analysis of articles not only reflects the innovative research at the intersection of machine learning and cancer but also demonstrates its vigorous development and increasing impacts.In terms of journals,Nature Communications is the most influential journal and Scientific Reports is the most prolific one.The United States and Harvard University have contributed the most to cancer research using machine learning methods.As for the research topic,“Support Vector Machine,”“classification,”and“deep learning”have been the core focuses of the research field.Findings are helpful for scholars and related practitioners to better understand the development status and trends of cancer research using machine learning methods,as well as to have a deeper understanding of research hotspots.
