Then I found that I couldn't find anyone in China because nobody at that time really focused on technology.
结果在中国没有人符合要求,因为那是没人致力于技术研究。
He let you borrowed a shirt and you went to a party and you spilled wine on his shirt.
他借给你一件衬衫,你穿着去参加一个派对,结果溅了一点红酒在上面。
And what's fallen out when we do that, because in each case, one of the first derivatives gives us the entropy.
当我们这样做时就得到了结果,因为在这些例子中,一阶导数是熵。
We have 80% attendance and the assessment show students are actually doing better in terms of conceptual understanding than the normal lecture-station format.
我们获得了80%的出勤率,评估结果还表明,学生们在概念理解方面,做得更好了,跟普通的讲座-背诵型课比起来。
And we're having a difference of opinion as to whether we should use a tuple or a list here, right?
可以“是结果,明白了吗?我们队在这里是应该用数组,还是链表还有一些不同意见对吧?
But I could write that same policy and write a simulator around it and write populations around it and I could see that effect instantly with a computer.
但我可以写出同样的政策,并且为之编写出一个模拟环境,和一些模拟人群,我就可以立即在电脑上看到结果。
So that's promising. We did, in fact, see red in our spectrum, and it turns out that that's exactly the wavelength that we see is that we're at 657 nanometers.
这是可能的,事实上,我们在光谱里看到过红色,结果它就是我们看到的在657纳米处的波长。
It turns out that slightly before the stack, slightly before this conceptual chunk of memory, there's other things called environment variables that we may see over time but elsewhere in memory are other things.
结果是稍微在堆之前,稍微在这个内存块概念之前,另外还一个东西叫做环境变量,我们之后可能看到,内存中的其他地方,是其他的东西。
There it is. He used the prism spectrograph to analyze his results. So what do we have here?
在这里,他用了棱镜分光图来分析他的结果,得到些什么呢?
In each of these cases we end up with a bad outcome, so this is socially important.
这些情况都导致了糟糕的结果,所以这点在社会层面上很重要
You know, he works an hour away but he got on the highway "drive drive drive."
他离开了一个小时,结果却是在高速路上不停的开车“
So what could be our results of movement in 2 decades?
因此,我们的运动能在20年后获得怎样的结果?
He came out number one in the United States as business school professor.
结果在所有美国商学院教授中,他排名第一
we've actually looked just expectancy in the brain of schizophrenics unhealthy controls So what we see is with Germans as the same thing that we saw with Americans.
我们对精神分裂症患者的大脑,进行了观察,我们在正常德国人身上观察到的结果,和我们在美国观察到的相同。
They commissioned a study, a cost-benefit analysis of smoking in the Czech Republic, and what their cost-benefit analysis found was the government gains by having Czech citizens smoke.
他们资助了一项研究,进行在捷克吸烟的成本效益分析,分析结果显示,让捷克人民吸烟,能让政府获利。
I tried to find it on Google really quick and nothing came up, but I think there is this idea of how you organize a tapestry in that fashion.
我试图在谷歌上查找但是没有结果,但是我想有这么个想法,就是怎么用那种方式编织挂毯
So more than doubling the risk can certainly site to the population Now these kind of results show how important it is to do studies that don't group everybody in the population together.
由图可见,发病率差异量超过一倍,这些研究结果表明,在研究过程中分组的重要性
So if I take p times V to the gamma, anywhere on the path, it's going to be equal to the same relation This is going to be true for any point on the path.
结果都,将等于,初态点的,只要在这条路径上。
google Imagine you want to search through Google to find a particular page. You want to do it in a second. And you're going to just do it the brute force way, assuming you could even reach all of those pages in that time.
假设你想通过,搜索一个特定的网页,你想在1秒内得到结果,然后你就只管去做了,认为能在1秒内遍历遍所有的网页。
He said I had it, so he headed off to a villa in the mountains, Christmastime 1925.
他说我得出结果了,所以他隐居到,山上的住宅,在1925年得圣诞前后。
p1 But if I say, are p 1 and p 2 the same point, it says yes.
和p2是不是同一个点,It,says,no。,返回的结果是肯定的,在这里我有个要强调的点,这个例子里发生的是。
It's pretty obvious. It's all here. It all falls out.
很明显,全在这儿,这就是结果。
There is Pauling and there is Hannay and Smyth.
他们的结果都在这了,这个是鲍林的,这个是汉娜和史密斯的。
It's going to be stored away in a variable.
结果值会被储存在变量里。
As a result of this sort of conditioning, he then when he experiences real world violence, he responds with nausea and shock; basically, training him to get away from these acts of violence.
作为这种条件作用的结果,当他在现实中经历暴力行为时,便会引起恶心和休克;,总体来说,就是训练他远离暴力行为。
So you start with your basic model, then you add in, you enrich the model, and you see if the results change, and that'll help you explain why you're getting different results in different settings.
你们从最原始的模型开始,加入约束条件来丰富这个模型,然后检验结果是否有变,这能帮助我们解释,为什么在不同条件下结果是不同的
I thought similar to Chris actually and I also thought that if we got two-thirds and everyone was choosing numbers in between 1 and 100 ends up with 33, would be around the number.
实际上我的想法和克里斯的相近,我也在想我们得选平均数的2/3,每个人都在1到100中选择的话,最后结果可能是33,会接近于平均数的2/3
And again, if I just run this, just to show that it's going to do the right thing, it says enter base, I'm obnoxious, it says oops, wasn't a float, so we'll be nice about it and I enter a height, and it prints out what I expected. I just concatenated those strings together, by the way, at the end.
我再来运行下看是不是做对了,提示输入底,噢,它提示说不是浮点数,我很高兴,然后我输入一个,浮点数作为高度显示结果和我预期的相同,顺便说一句,我只是在最后把这些字符串连接起来了。
So that means that we don't have to worry about things like wave functions when we're talking about Lewis structures, but because they're so simple to use and because they so often predict the electron configuration of molecules accurately, we end up using them all the time in chemistry, so it's very valuable to know how to draw them correctly and to know how to work with them.
因此这也就意味着我们在讨论路易斯结构的时候,不需要担心波函数之类的东西,但是由于路易斯结构不仅简单易用,而且用它来预测分子的电子排布,经常可以得到非常精确的结果,结果我们在化学中一直都在用它,因此知道如何正确地画出并运用,路易斯结构是非常有价值的。
So, inside of code, or inside of a script, there's no print, unless we make it explicit.
因此,在代码里面,或者在脚本里面,不会有显示结果的功能,除非我们让它这么做。
应用推荐