所以理论上学习效应和规模效应不同，尽管实际操作中由于不确定性和模糊的因果关系可能很难区分它们。

Thus learning effects are theoretically distinct from scale effects, even if in practice they my be hard to differentiate due to e.g. uncertainty and causal ambiguity.

youdao

很多情况下，基于日期的简单命名方案并不能满足需要，因为随着创建的备份越来越多，这些名称将变得十分模糊，令人难以区分。

More than likely, a simple date-based naming scheme will not be sufficient, as these names will become too vague and unclear as more backups are created.

youdao

这样保证从不同地方反射回来的光更容易区分开，因为他们不会变模糊一片。

This ensures that reflections from different places are easier to tell apart, because they do not blur into one another.

youdao