但我肯定，将来我们在两方面都能行。
We can be both of god and the devil.
我们既是神也是恶魔。
We can be both of the God and the devil.
我们是上帝也是恶魔。
We can be both of God and the devil. Since were trying to raise the dead against the stream of time.
我们既是上帝又是魔鬼，因为我们要逆着时间的洪流，让死者复生。
We will show how easily it can be done both ways.
我们将分别看看这两种方式。
The trace that we have just dumped from memory to a file named DMP can be parsed or formated into readable text using one or both of the parsing options on the db2trc command.
对于我们从内存转储到名为dmp的文件中的跟踪，通过使用db 2 trc命令上的一个或两个解析选项，我们可以对其进行解析，或将其格式化为可读的文本。
Both ErpPerson and ErpAddress elements can actually be further "sliced" to have more levels of element granularity but we stopped here for simplification.
ErpPerson和ErpAddress元素实际上可以进一步进行“切分”，以获得更多的元素粒度级别，但为了简单起见，我们仅到此为止。
Suffice to say, that when we define our manifest, we can declare optional dependencies on both the Felix and Equinox command line interfaces, so that when we install into either, we'll be able to run.
必须提一下，当我们定义manifest时，我们可以在Felix和Equinox命令行上声明可选依赖，这样，当我们两者中任何一个安装之后，我们就可以运行了。
However, as we will see later, the actual coding techniques can be identical in both cases.
不过，正如我们稍后将看到的，这两种情况下的编码技术可以完全相同。
This fulfills both major issues associated with the scenario: the reviews can happen in parallel, and we do not have to know at modeling time the number of reviewers that will be involved.
这就恰当地处理了与此场景关联的那两个主要问题：可以并行进行审阅工作，而且不需要在建模时知道将参与审阅的审阅人员数量。
Leaks can be very fast or incredibly slow, so we analyze memory trends of both short and long intervals.
泄漏可能非常快或令人难以置信地慢，所以我们将分析短时间间隔和长时间间隔的内存趋势。
Now both files can be included safely together, and we specify which namespace to use to handle our function call.
现在，两个文件可以安全地包含在一起，并且我们指定了处理函数调用所需使用的名称空间。
History influences the way we think and behave, and historical imprints can be found in both of reality and future.
我们从历史中走向现在和未来。历史的经验往往深刻影响今人的思想和行为。
We have shown that a possible solution to both of these problems can be found in a new model-driven architectural approach.
我们展示这两个问题的可能解决方案可以用一种新的模型驱动架构方法来找到。
Because email isn't the all-powerful application it once was, with the advent of texting, Facebook, Twitter and the rest, we tend to forget both how useful email is and how dangerous it can be.
因为电子邮件已不像过去那样是一个全能的应用程序。伴随着短信、博客、和社交网站的出现，我们几乎已经忘了邮件有多有用、多危险。
In both cases learning is involved, but the human brain is different from computer memory, in ways that we do not yet fully understand, so the analogy can only be taken so far.
但是人类的大脑与电脑的内存不同，它的工作方式我们还没有完全理解，所以电脑对大脑的模仿只能做到这一步。
The more we can discover about the mathematical properties of generic swarm processing, the better our understanding will be of both artificial complexity and biological complexity.
我们能够发现的通用群处理过程的数学属性越多，我们对仿生复杂性与生物复杂性的理解就越好。
Now we find that exactly the same laws can be used to explain the motion of both.
现在我们找到了可以解释两种运动的精确法则。
We all know that we should "forget the past" for the sake of a common future, but that can be done only through the joint efforts of the aggressors and the victims both.
我们都知道应该“忘记过去”共创未来，但是只有让曾经的侵略者和被侵略者携起手来才可能实现。
If we can control the amount of animal RACES as well as we control our population, then we both can protect animals and can be less trouble, less dead and less sad.
如果，正像我们人类要控制自己的种群一样控制各种动物的种群数量，那么，我们既保护了它们，也可以少点儿麻烦，少点儿死亡，少点儿悲哀。
"We can compare this giant baby with a 9 - to 10-month-old baby," Sitanggang said. "Both his parents are tall and big, so there might be a genetic cause for this."
“我们可以把这个巨婴和9到10个月大的婴儿进行比较，”Sitanggang说：“他的父母都长得高大壮实，所以这可能是基因导致的。”
"With the players we have, we can be strong in both competitions," smiled Mourinho.
“有现在这些球员，我们在两个比赛中都会是很强的。”穆帅笑着说。
Then, the taskdef becomes "
然后把taskdef标签改写成"
Our memories, they can be inviting. But some are altogether mighty frightening. As we die, both you and I, with my head in my hands, I sit and cry.
我们的回忆，它们可能会引人动心。但有些则完全令人恐惧。当我们死时，你和我，我的头在我手中，我坐下哭泣。
Both examples are performance outcomes that can be predicted from what we know about cognitive narrowing or tunnel vision under time pressure.
这些例子都是由于在时间的压力下管制员的认知和视野变窄后可以预见到的表现。
Both examples are performance outcomes that can be predicted from what we know about cognitive narrowing or tunnel vision under time pressure.
这些例子都是由于在时间的压力下管制员的认知和视野变窄后可以预见到的表现。
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