惯性质量是物体作平动运动时惯性大小的量度，在实验室中通常是用惯性秤来测量的。
Intertia mass is measurement of inertia when object even move, and it was measured by inertia steelyard in lab.
由于Q统计量在实验中效果不错，因此本文采用Q统计量度量两个分类器之间的差异度。提出一种采用Q统计量的选择性集成学习算法。
As the Q statistic is better in experiments, so this paper uses Q statistic to measure the diversity between the two learners and proposes a new selective ensemble algorithm basing Q statistic.
本研究设计实验且实验结果拒绝了两个零假设，即：其一，基于语义框架的二语词汇习得模式对于第二语言词汇接受的量度不产生任何影响。
Empirical study was also conducted and the results refused the two null hypotheses: Firstly, frame-based SLVA model does not positively correlate with SLV enlargement.
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