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关于区域学测数据分析的再思考 被引量:1
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作者 周新霞 《江苏教育研究》 2019年第13期48-51,共4页
区域学测数据分析,是县区教研室进行教学管理、研判教学质量的重要途径。传统的区域学测数据分析选取"一分四率一位次"等数据,不能直观体现进(退)步情况、无法进行纵向和横向比较。"研教合一"理念下的区域学测数据... 区域学测数据分析,是县区教研室进行教学管理、研判教学质量的重要途径。传统的区域学测数据分析选取"一分四率一位次"等数据,不能直观体现进(退)步情况、无法进行纵向和横向比较。"研教合一"理念下的区域学测数据分析,选取区总排名占比率、参考率、区均分达成率、区均分达成率进步值、区均分达成率区间值、区均分达成率区间进步值等数据,从"达标+增值"的角度,准确反映学校、学科教学水平在区域内所处位次、达标程度、增值情况,为促进区域教育均衡发展、规范学校办学行为、引导管理者和教师正确归因提供重要依据。 展开更多
关键词 学测数据分析 区域管理 教育均衡 规范办 正确归因
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ANALYSIS ON STRUCTURE OF TYPHOON LONGWANG BASED ON GPS DROPWINSONDE DATA 被引量:2
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作者 舒守娟 彭犁然 《Journal of Tropical Meteorology》 SCIE 2011年第3期193-201,共9页
As one of the most severe typhoons in the year 2005,Typhoon Longwang is chosen as a case study in this article.Throughout its life,two surveillance flights are carried out on it.Different from previous studies,GPS(glo... As one of the most severe typhoons in the year 2005,Typhoon Longwang is chosen as a case study in this article.Throughout its life,two surveillance flights are carried out on it.Different from previous studies,GPS(global positioning system)Dropwinsonde data collected from the Dropwinsonde Observations for Typhoon Surveillance near the Taiwan Region is chosen to present the thermodynamic and kinetic structure at its two different stages of development.This study suggests that not only kinetic structure but also thermodynamic structure of Longwang are more robust in the second surveillance than the first surveillance,with stronger and larger circulation and a warmer core.Further research shows that the environmental vertical wind shear mainly contributes to the asymmetric structure of the typhoon.The strong vertical wind shear not only results in the distinct asymmetric structure,but also restrains the development of the typhoon. 展开更多
关键词 TYPHOON structure characteristics observational analysis dropwindsonde
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Characterizing and annotating the genome using RNA-seq data 被引量:24
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作者 Geng Chen Tieliu Shi Leming Shi 《Science China(Life Sciences)》 SCIE CAS CSCD 2017年第2期116-125,共10页
Bioinformatics methods for various RNA-seq data analyses are in fast evolution with the improvement of sequencing technologies. However, many challenges still exist in how to efficiently process the RNA-seq data to ob... Bioinformatics methods for various RNA-seq data analyses are in fast evolution with the improvement of sequencing technologies. However, many challenges still exist in how to efficiently process the RNA-seq data to obtain accurate and comprehensive results. Here we reviewed the strategies for improving diverse transcriptomic studies and the annotation of genetic variants based on RNA-seq data. Mapping RNA-seq reads to the genome and transcriptome represent two distinct methods for quantifying the expression of genes/transcripts. Besides the known genes annotated in current databases, many novel genes/transcripts(especially those long noncoding RNAs) still can be identified on the reference genome using RNA-seq. Moreover, owing to the incompleteness of current reference genomes, some novel genes are missing from them. Genome-guided and de novo transcriptome reconstruction are two effective and complementary strategies for identifying those novel genes/transcripts on or beyond the reference genome. In addition, integrating the genes of distinct databases to conduct transcriptomics and genetics studies can improve the results of corresponding analyses. 展开更多
关键词 RNA-SEQ genome-guided transcriptome reconstruction de novo assembly long noncoding RNA genetic variants
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