Assuming you didn't die, by cheating or whatever, is there anything interesting after that door?
Spoiler warning!  During the first escape attempt in Portal 2 (when GLaDOS is still in charge) she opens a door for you which you can choose to go through instead of following Wheatley (the blue-eyed ball). What happens if you go there?
How did Jaqen H'ghar get caught? Following a recent 9gag post:    Did Jaqen H'ghar end up in that cage because he knew that he would meet and "recruit" Arya, or was it some strange coincidence? Is it described somewhere in the books, or left unexplained? Maximum of $|\sin(z)|$ as $\{z: |z| \leq 1 \} $  So according to the Maximum Principle, the maximum is when $|z|=1$. I tried using the fact that $\sin z= \dfrac {e^{iz}-e^{-iz}}{2i}$, but didn't know how to continue from there. Setting $z=e^{it}$ doesn't help much.  I saw this question was answered before, however the answer uses hyperbolic functions ($\sinh, \cosh$) which I haven't actually studied.  Thanks in advance for any assistance! If G is a group of order n=35, then it is cyclic I've been asked to prove this.   In class we proved this when $n=15$, but our approached seemed unnecessarily complicated to me. We invoked Sylow's theorems, normalizers, etc. I've looked online and found other examples of this approach.    I wonder if it is actually unnecessary, or if there is something wrong with the following proof:   If $|G|=35=5\cdot7$ , then by Cauchy's theorem, there exist $x,y \in G$ such that $o(x)=5$, $o(y)=7$. The order of the product $xy$ is then $\text{lcm}(5,7)=35$. Since we've found an element of $G$ of order 35, we conclude that $G$ is cyclic.   Thanks. What is the difference between correlation, causation and prediction? Suppose we have a set of events $\Omega$, containing events $A$ and $B$. My econometrics professor tried to distinguish the following three terms today.    Causation --- $A$ causes $B$ if the occurrence of $A$ always leads to another specific outcome $B$. For example, clapping my hands causes a sound to be emitted.  Prediction --- $A$ predicts $B$ if on average, $B$ is the expected outcome from $A$ occurring. In other words, whereas causality is deterministic, prediction is probabilistic. For example, studying for a test would predict doing well on the exam. But there's no guarantee.   Correlation --- $A$ and $B$ are correlated if when one occurs the other does too. But there may be some hidden variable causing both.    Are these distinctions meaningful? Or did he make these terms up?   My Questions   What is the difference between causation and correlation?  Are "causes" always deterministic? What are the requirements for national parks? I'm trying to place a national park here:    But the button to create one with the Naturalist is greyed out:    I know the civopedia lists the requirements for building a national park, but they are either wrong or I'm having a hard time understanding them:   The tiles must be natural wonders, Mountains or a tile with an Appeal of Charming or better. As you can see the top are both Breathtaking and the bottom ones are part of the Great Barrier Reef wonder All four tiles must be owned by the same city. All tiles are within the boarders of Mbwila The tiles for a diamond shape. All tiles are connected close to each other in a diamond shape No tile can have an improvement or district on it. All tiles are in their initial condition.   So I'm probably missing something. Can someone tell me what's the problem? What is *Cell standby* and how can I keep it from eating my battery? Looking up my battery statistics, I almost always find Cell standby amongst the top consumers:    I never thought that "idle" would use so much energy. I saw that other people encounter similar problems:       Answers on those questions just give some raw ideas. I would like to know what exactly stands behind this, an whether there are ways to keep this "standby" from eating my battery? Convergence of a sequence implies convergence of the norm of the sequence If $\langle X_n \rangle$ is a sequence in $\mathbb R^n$ then $\lim\limits_{n\to \infty}X_n=A$. Show that $\lim\limits_{n\to \infty} \| X_n \| = \| A \|$ .   My thought process, $\| X_i \|= (\sum_{i=1}^n x_i^2)^{(1/2)}$ therefore be the multiplicative property of limits $x_i^2 = a_i^2$. Therefore the limit of norm of the components is equivalent to the limit of the corresponding limit of each component of the sequence. Intellij shortcut for quick call hierarchy Is there a shortcut key to bring up the call hierarchy of a method inline with the code, in the quick menu format, rather than bringing up the call hierarchy panel? Say I want to automate making extruded-text or a 3d logo from an image.    An answer that uses extruding a monochrome image of the ubuntu logo to an arbitrary number of units with a python script taking only the number of units and the monochrome image as a starting point will receive extra this was awesome re-posts from me.  This could be useful for lots of things. Phrase for a situation where a problem disappears when you are about to fix it, but reappears later For example, the car mechanic can't replicate the problem you are having every day, but when you drive it off the service dept, there it is again. Or, when seeing the dentist, the tooth ache goes away, and comes back when you leave. Run a command before & after ubuntu apt upgrade & unattended-upgrades How do I pronounce "ratio 1:1"? How do I pronounce "ratio 1:1"?  Should I pronounce it "ratio 1 to 1"? Product of an exponential function of IDD variables if $x_i$ are IID  continuous random variables, with $E[x_i]=μ$, is the following correct?   $E\left[\prod_{i=1}^n(1+⍺\space x_i)^i\right] = \prod_{i=1}^nE\left[(1+⍺\space x_i)^i\right] =  \prod_{i=1}^n(1+⍺\space E\left[x_i\right])^i = (1+⍺\space μ)^n$  thanks! $ f:\mathbb C\rightarrow \mathbb C$ defined by $f(z)=0$, if $Re(z)=0$ or $Im(z)=0$ and $f(z)=z$, otherwise. The summer training or (just) summer training Should we use the summer training or just summer training in the paragraph. As per me training is a noun and before singular noun we have to use an article and I am using the because I am talking about a specific training for engineers, I also know that before very common nouns we avoid articles, like bed, school, bus, university, so if you say we should use summer training then please give me a valid reason.     Company(name) has been providing the summer training for engineers   since 2010. We have been giving completely professional atmosphere for   engineers to complete the summer training with practical knowledge.   Our each faculty has a great experience in the education field. We   make sure you get all the important resources to make your summer   training a learning and an enjoyable summer training. You may call or   email us to get your confirmation about the training.   Thanks in advance. Why is it true that $\mathrm{adj}(A)A = \det(A) \cdot I$? I use multiple displays, and the available options for Spaces that I am aware of allow surprise Space-switching, even when working in a completely different space.  Ideally, interacting with the Dock will only affect the same Space on the same display on which I used the Dock. This means:   If app clicked in Dock, and no copy of app is running on any space, then start the app and confine it to the current Space. If app clicked in Dock, and the program is already running in another Space, then either 1) open a new window if the program allows this, or 2) silently move the app to the current Space without disturbing or changing any other Space or display. If app clicked in Dock, and the program is already running in the current Space, then change focus to the app.   Specifically: - Clicking an icon in the Dock should rarely affect any other Space. - Clicking an icon in the Dock must never affect which Space is displayed on which display  OS X Yosemite 10.10.2, MacBook Pro 2012. (Dock set to auto-hide, and pops up at the bottom of any screen when I put the mouse there.) I've tried to find any solution or proof for $$\langle x| x' \rangle=\delta(x-x'),$$ but I only came to this post:   So I got the information, that the vector $|x\rangle$ form a dirac-normalized basis for the Hilbert Space.   I know that the dirac-delta distribution is defined like this: $$\delta(x-x') = \begin{cases} 0 &amp;\mbox{if } x\neq x' \\ \infty &amp; \mbox{if } x=x' \end{cases},$$ this means that my x' is a point on my x axis where I have my infinite high peak. And also $$\int_{-\infty}^{\infty}dx\cdot \delta(x-x')=1.$$  But how actually correlate this with the scalar product of vectors x, x' in the Hilbert Space that form a so-called 'diracl-normailzed" basis of it?  Can you give me some tips on this please? Or maybe you actually know a link, where this is explained. How can I increment a date by one day in Java? This is meant to solve this problem once and for all. What is every reason an object isn't showing up in a render or viewport in when using the cycles render engine?