本研究搜集了我国中东西9个省份和直辖市中小学教师的调查数据,基于技术的接收和使用的同意理论模型(Unified Theory of Acceptance and Use of Technology,简称UTAUT),引入性别、年龄、职称和学历四个调节变量,建构量化模型,探寻教师...本研究搜集了我国中东西9个省份和直辖市中小学教师的调查数据,基于技术的接收和使用的同意理论模型(Unified Theory of Acceptance and Use of Technology,简称UTAUT),引入性别、年龄、职称和学历四个调节变量,建构量化模型,探寻教师的性别、年龄、职称和学历四个变量作为调节变量对我国教师使用信息技术的调节作用。通过构建偏最小二乘法结构方程模型(PLS-SEM),结果表明,我国教师的性别、年龄、职称和学历对我国教师使用信息技术的调节作用显著。展开更多
[Object] This study was conducted to explore the genetic diversity and structure of the wild Repomucenus curvicornis inhabiting Liaoning Coast, China. [Method] The mitochondrial COⅠ gene and control region（CR） were...[Object] This study was conducted to explore the genetic diversity and structure of the wild Repomucenus curvicornis inhabiting Liaoning Coast, China. [Method] The mitochondrial COⅠ gene and control region（CR） were PCR amplified from the wild R. curvicornis populations from the Liaodong Bay（n=22） and the northern Yellow Sea（n=18）, sequenced and analyzed for genetic diversity. [Result] The contents of A, T, C and G of 624 bp COⅠ gene were 24.09%, 31.04%, 25.28%, and 19.59%, and those of 460 bp CR fragment were 32.96%, 32.80%, 14.86% and 19.38%, respectively. The total number of variable sites, average number of nucleotide differences（ k）, haplotype diversity（H） and nucleotide diversity（π） based on COⅠ gene were 38, 4.67,（0.96±0.02） and（0.007 5±0.004 2）, and those based on CR fragment were 26, 3.35,（0.97 ±0.02） and（0.007 3±0.004 3）, respectively. Based on mitochondrial COⅠ gene and CR, the genetic diversity of Liaodong Bay population was lower than that of the northern Yellow Sea population. The AMOVA analysis based on CR fragments revealed almost significant genetic divergence between the Liaodong Bay and the northern Yellow Sea populations, while there was no significant genetic divergence based on COⅠ gene. The results showed that CR and COⅠ gene are effective molecular markers for detecting the genetic diversity of R. curvicornis population, while CR is more reliable than COⅠ gene in detecting the genetic structure. [Conclusion] CR is an appropriate marker for genetic analysis of marine fish population.展开更多
文摘本研究搜集了我国中东西9个省份和直辖市中小学教师的调查数据,基于技术的接收和使用的同意理论模型(Unified Theory of Acceptance and Use of Technology,简称UTAUT),引入性别、年龄、职称和学历四个调节变量,建构量化模型,探寻教师的性别、年龄、职称和学历四个变量作为调节变量对我国教师使用信息技术的调节作用。通过构建偏最小二乘法结构方程模型(PLS-SEM),结果表明,我国教师的性别、年龄、职称和学历对我国教师使用信息技术的调节作用显著。
基金Supported by the National Key R&D Program of China(2017YFC1404400)The National Natural Science Foundation of China(31770458)
文摘[Object] This study was conducted to explore the genetic diversity and structure of the wild Repomucenus curvicornis inhabiting Liaoning Coast, China. [Method] The mitochondrial COⅠ gene and control region（CR） were PCR amplified from the wild R. curvicornis populations from the Liaodong Bay（n=22） and the northern Yellow Sea（n=18）, sequenced and analyzed for genetic diversity. [Result] The contents of A, T, C and G of 624 bp COⅠ gene were 24.09%, 31.04%, 25.28%, and 19.59%, and those of 460 bp CR fragment were 32.96%, 32.80%, 14.86% and 19.38%, respectively. The total number of variable sites, average number of nucleotide differences（ k）, haplotype diversity（H） and nucleotide diversity（π） based on COⅠ gene were 38, 4.67,（0.96±0.02） and（0.007 5±0.004 2）, and those based on CR fragment were 26, 3.35,（0.97 ±0.02） and（0.007 3±0.004 3）, respectively. Based on mitochondrial COⅠ gene and CR, the genetic diversity of Liaodong Bay population was lower than that of the northern Yellow Sea population. The AMOVA analysis based on CR fragments revealed almost significant genetic divergence between the Liaodong Bay and the northern Yellow Sea populations, while there was no significant genetic divergence based on COⅠ gene. The results showed that CR and COⅠ gene are effective molecular markers for detecting the genetic diversity of R. curvicornis population, while CR is more reliable than COⅠ gene in detecting the genetic structure. [Conclusion] CR is an appropriate marker for genetic analysis of marine fish population.
