The model is good by predicting protein concentration of wheat flour with different unknown sample groups. Its error is less than 1 0.

对不同未知样本进行了预测，结果表明，所建模型具有一定的稳定性，对未知样品蛋白质浓度的测量偏差较小，其最大偏差不超过1 .0。

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The redundancy in the database of protein structure is analyzed, that the protein secondary structure of the international database error is around 25%.

对蛋白质结构数据库的冗余数据进行分析研究表明，目前国际数据库中的蛋白质的二级结构存在误差，误差率为25%左右。

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The result shows that measurement standard error reaches minimum 0.027 for most milk sample and satisfies the national criterion of protein detection when dilution ratio ranges from 6.2 to 7.4.

结果表明，对于大多数的牛乳样品，当其稀释倍率在6.2至7.4范围内时，测量标准偏差达到最小值0.027，满足蛋白质检测国家标准。

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