我国高等教育进入普及化发展阶段,第一代大学生在校占比持续上升且受先赋性不利因素的影响,在学业、社交、校园生活等方面表现不足,部分教育收获较低。高校图书馆的适时介入与助推可显著减少高等教育对该群体的无效供给,有效改善其大学...我国高等教育进入普及化发展阶段,第一代大学生在校占比持续上升且受先赋性不利因素的影响,在学业、社交、校园生活等方面表现不足,部分教育收获较低。高校图书馆的适时介入与助推可显著减少高等教育对该群体的无效供给,有效改善其大学体验感和受教育经历。文章以美国研究型大学图书馆为研究对象,运用系统性文献研究方法,从Web of Science核心合集和中国知网(CNKI)检索文献中梳理美国图书馆学界参与校园支持的研究进展;运用网络调研方法,调查美国13所研究型大学图书馆的服务举措。立足我国第一代大学生非经济因素群体困境,借鉴国外图书馆的支持理念和服务经验,建议我国“211工程”和“985工程”高校图书馆从减少服务障碍、搭建同伴支持平台、尽早开展信息素养和财经素养教育以及合作组织高影响力教育活动5个途径开展支持服务,以融入大学“三全育人”体系,助力大学生成长成才、促进教育公平和高质量发展。展开更多
A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET）...A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET） image reconstruction is proposed.In the MOS-SAGE algorithm,the number of projections and the access order of the subsets are modified in order to improve the quality of the reconstructed images and accelerate the convergence speed.The number of projections in a subset increases as follows：2,4,8,16,32 and 64.This sequence means that the high frequency component is recovered first and the low frequency component is recovered in the succeeding iteration steps.In addition,the neighboring subsets are separated as much as possible so that the correlation of projections can be decreased and the convergences can be speeded up.The application of the proposed method to simulated and real images shows that the MOS-SAGE algorithm has better performance than the SAGE algorithm and the OSEM algorithm in convergence and image quality.展开更多
[Objective]The aim was to analyze QTL of agronomic traits in soybean and provide reference for a discussion on soybean genetic mechanism and genetic breeding. [Method]The composite interval mapping method was used for...[Objective]The aim was to analyze QTL of agronomic traits in soybean and provide reference for a discussion on soybean genetic mechanism and genetic breeding. [Method]The composite interval mapping method was used for QTL location and genetic effects analysis on 5 quantitative traits including protein content,fat content,yield,100-grain weight and growth period. [Result]The control of these traits 4,4,1,2,5,a total of 16 QTL loci was detected. The genetic contribution rate was in 7.4%-33.7%,among which,a large main-effect QTL of the genetic contribution rate were located in linkage group I Satt562-Sat_219,Sat_219-Satt496,Sat_219-Satt496 interval of the three control protein content QTL sites,their genetic contribution rates were 29.15%,33.7 % and 31.67% respectively,all from the female parent Hefeng 25 plus minor gene; still in O linkage group Satt477-Satt331,Satt331-Satt153 interval of two control growing period QTL loci,their genetic contribution rates were up to 24.69% and 24.96%,also from the female parent Hefeng 25 plus minor gene. In addition,six QTL sites from M linkage group Satt175 （protein）,A1 linkage group Satt684 （oil）,F linkage group Satt348 （oil）,J linkage group Sat_412 （oil）,C1 linkage group Sat_416 （100-grain weight） and C1 linkage group Sat_416 （growth period） marks only 0.01 cm were detected. [Conclusion]QTL sites which had effects on the 5 important agronomic traits in soybean were located.展开更多
文摘我国高等教育进入普及化发展阶段,第一代大学生在校占比持续上升且受先赋性不利因素的影响,在学业、社交、校园生活等方面表现不足,部分教育收获较低。高校图书馆的适时介入与助推可显著减少高等教育对该群体的无效供给,有效改善其大学体验感和受教育经历。文章以美国研究型大学图书馆为研究对象,运用系统性文献研究方法,从Web of Science核心合集和中国知网(CNKI)检索文献中梳理美国图书馆学界参与校园支持的研究进展;运用网络调研方法,调查美国13所研究型大学图书馆的服务举措。立足我国第一代大学生非经济因素群体困境,借鉴国外图书馆的支持理念和服务经验,建议我国“211工程”和“985工程”高校图书馆从减少服务障碍、搭建同伴支持平台、尽早开展信息素养和财经素养教育以及合作组织高影响力教育活动5个途径开展支持服务,以融入大学“三全育人”体系,助力大学生成长成才、促进教育公平和高质量发展。
基金The National Basic Research Program of China (973Program) (No.2003CB716102).
文摘A new method that uses a modified ordered subsets （MOS） algorithm to improve the convergence rate of space-alternating generalized expectation-maximization （SAGE） algorithm for positron emission tomography （PET） image reconstruction is proposed.In the MOS-SAGE algorithm,the number of projections and the access order of the subsets are modified in order to improve the quality of the reconstructed images and accelerate the convergence speed.The number of projections in a subset increases as follows：2,4,8,16,32 and 64.This sequence means that the high frequency component is recovered first and the low frequency component is recovered in the succeeding iteration steps.In addition,the neighboring subsets are separated as much as possible so that the correlation of projections can be decreased and the convergences can be speeded up.The application of the proposed method to simulated and real images shows that the MOS-SAGE algorithm has better performance than the SAGE algorithm and the OSEM algorithm in convergence and image quality.
基金Supported by National Natural Science Foundation of China(30490250)~~
文摘[Objective]The aim was to analyze QTL of agronomic traits in soybean and provide reference for a discussion on soybean genetic mechanism and genetic breeding. [Method]The composite interval mapping method was used for QTL location and genetic effects analysis on 5 quantitative traits including protein content,fat content,yield,100-grain weight and growth period. [Result]The control of these traits 4,4,1,2,5,a total of 16 QTL loci was detected. The genetic contribution rate was in 7.4%-33.7%,among which,a large main-effect QTL of the genetic contribution rate were located in linkage group I Satt562-Sat_219,Sat_219-Satt496,Sat_219-Satt496 interval of the three control protein content QTL sites,their genetic contribution rates were 29.15%,33.7 % and 31.67% respectively,all from the female parent Hefeng 25 plus minor gene; still in O linkage group Satt477-Satt331,Satt331-Satt153 interval of two control growing period QTL loci,their genetic contribution rates were up to 24.69% and 24.96%,also from the female parent Hefeng 25 plus minor gene. In addition,six QTL sites from M linkage group Satt175 （protein）,A1 linkage group Satt684 （oil）,F linkage group Satt348 （oil）,J linkage group Sat_412 （oil）,C1 linkage group Sat_416 （100-grain weight） and C1 linkage group Sat_416 （growth period） marks only 0.01 cm were detected. [Conclusion]QTL sites which had effects on the 5 important agronomic traits in soybean were located.
