Power Supply amp doesn't match with adapter. Can I use the adapter?
Choosing power supply, how to get the voltage and current ratings?
Why is main() in java void? In the case of languages with a C-like syntax, we declare the main() method to return an int or float value (or void).  Is it possible to declare a non-void return type from main() in Java?  If not, then why not?  Does this mean that a Java program doesn't return any value to the OS? Simplest code for array intersection in javascript Can a fired moderator be elected as a moderator? While this question is inspired by recent events, it is an independent question and not tied down to any specific moderator or situation.  There's precedent for a moderator who resigned their diamond to simply ask Stack Exchange for their diamond back, without having to stand for reelection. Obviously, this may not apply if the moderator did not resign, but was removed for cause by Stack Exchange.  If a moderator has been "fired" by Stack Exchange (has had their diamond removed involuntarily by corporate action), is the person eligible to pull a  and regain a diamond through the democratic process on one of our sites, or would any such attempt be blocked? I'm aware that there is a restriction on  from standing for election, but this is not the same thing as being stripped of a diamond (fired moderators, IME, aren't also given a full site suspension unless their behavior goes beyond "possibly not a very good moderator" into "supervillain" territory).  If there is no particular rule, what should that rule be?   Should fired moderators be immediately eligible to stand for election, subject only to community approval of them returning? Should fired moderators have to go through a separate re-vetting process with Stack Exchange to regain eligibility to stand for office? Should fired moderators have an ineligibility window in a similar way that suspended users have one (e.g. after X months or years after being fired, they may stand for election). Should fired moderators be forever banned from election?   In no way am I asking about the process for a fired moderator to seek restoration through corporate appeals, etc. I'm asking only about the community election process - if a site's community wants to elect a previously fired moderator, is this inherently objectionable to Stack Exchange? How can I use robots.txt to disallow subdomain only? My code base is shared between several environments (live, staging, dev) &amp; sub-domains (staging.example, dev.example, etc.) and only two should be allowed to be crawled (ie. www.example and example). Normally I'd modify /robots.txt and add Disallow: /, but due to shared code base I cannot modify /robots.txt without affecting all (sub)domains.  Any ideas how to go about it? Maximum number of files being uploaded by input type file Please let me know how to change the size of the camera view. The red dotted line of the square is too small for me. If $p,q$ are positive quantities and $0 \leq m\leq 1$ then Prove that $$(p+q)^m \leq p^m+q^m$$    Trial: For $m=0$, $(p+q)^0=1 &lt; 2= p^0+q^0$  and for $m=1$, $(p+q)^1=p+q =p^1+q^1$.   So, For $m=0,1$ the inequality is true.How I show that the inequality is also true for $0 &lt; m &lt; 1$.   Please help. How do you set, clear, and toggle a single bit? ASP.NET MVC Default Project Structure and the Scripts Folder Is there any cryptographic algorithm immune to side channel attacks based on scan chain? In VLSI point of view. What is the effect of having correlated predictors in a multiple regression model? I learned in my linear models class that if two predictors are correlated and both are included in a model, one will be insignificant. For example, assume the size of a house and the number of bedrooms are correlated. When predicting the cost of a house using these two predictors, one of them can be dropped because they are both providing a lot of the same information. Intuitively, this makes sense, but I have a some more technical questions:   How does this effect manifest itself in p-values of the regression coefficients when including only one or including both predictors in the model? How does the variance of the regression coefficients get affected by including both predictors in the model or just having one? How do I know which predictor the model will choose to be less significant? How does including only one or including both predictors change the value/variance of my forecasted cost? don't really understand how to log on with your SE account in the new logon screen.  And although it might be obvious to most of us, some people find the new dialog hard to understand.        Can we add a logo and some text to make clear users can log on with their SE account? Something like:     [SE LOGO] Log on using your StackExchange account   Followed by the two boxes for email and password. Performing Point Distance analysis using Basic level license of ArcGIS Desktop? I am using ArcView (ArcGIS Desktop Basic) 10.1 and I need to perform a point distance analysis.   What are the steps to determine the distance from A to B-Z, B to A-Z, C to A-Z, etc? Subsurf Modifier artifacts So I was messing with Subsurf modifier to create a certain sword and then some weird artifacts began to appear (cape-like). I've tried adjusting the Crease, but couldn't achive what I wanted. Basicly, what I whant is the as on the screens, but wo any artifacts :)   Also, here's the .blend file, cause I assume I didn't make myselt 100% clear. It's not difficult to show that  $$(1-z^2)^{-1/2}=\sum_{n=0}^\infty \binom{2n}{n}2^{-2n}z^{2n}$$  On the other hand, we have $(1-z^2)^{-1}=\sum z^{2n}$.  Squaring the first power series and comparing terms gives us  $$\sum_{k=0}^n \binom{2k}{k}\binom{2(n-k)}{n-k}2^{-2n}=1$$  that is,  $$\sum_{k=0}^n \binom{2k}{k}\binom{2(n-k)}{n-k}=2^{2n}$$  My question: is there a more direct, combinatorial proof of this identity?  I've been racking my brains trying to come up with one but I'm not having much success. Why is this quotient space not Hausdorff? ODBC and ADO connection to SQL Server: What protocol is used when connecting to \? Does anyone have an intuitive explanation (no formulas, just words! :D) about the "$n-1$" instead of "$n$" in the unbiased variance estimator $$S_n^2 = \dfrac{\sum\limits_{i = 1}^n \left(X_i-\bar{X}\right)^2}{n-1}?$$ Raised index of partial derivative I am having a really hard time wrapping my head around component notation for tensor fields. For example, I do not know exactly what the following expression means $$\partial_\mu\partial^\nu \phi, \tag{$\#$}$$ where $\phi$ is a scalar field. On the one hand $\partial^\nu=g^{\lambda\nu}\partial_\lambda$ where $g_{\mu\nu}$ is the Minkowski metric, and hence we could write explicitly $$\partial_\mu\partial^\nu \phi=\sum_{\mu,\nu,\lambda}g^{\lambda\nu}\partial_\mu \partial_{\lambda}\phi=\sum_{\mu,\nu}\partial_{\mu}\partial_{\nu}\phi=\partial_\mu\partial_\nu\phi. \tag{$*$} $$ On the other hand, we may think of $\partial_\mu\partial^\nu=g(\partial_\mu,\partial^\nu)=\delta_\mu^\nu;$ so that $\partial_\mu\partial^\nu\phi=\phi?$ Maybe? I am actually not sure of what this would mean. I am really confused. Any help is appreciated. Edit: To give context of where this expression comes from: I was computing the Lagrangian $$\mathcal L=\frac{1}{2}(\partial_\mu\phi)(\partial^\mu \phi) $$ considering an infinitesimal spacetime translation $x^ \mu\to x^\mu-\alpha a^\mu$. The scalar field thus transforms like $\phi(x)\to \phi(x)+\alpha(\partial_\mu\phi(x))a^\mu.$ Plugging thins into the Lagrangian yields the term I am referring to. Edit 2: The change in placement of indices are actually my doubts. I try to elaborate. I do not have any background in using indices to talk about tensors. I am used to interpret the expressions $\partial_\mu$ as the local vector field defined in some chart (local coordinates). I think about vector fields $X$ as abstract section of the Tangent bundle, which restricted to local coordinates can be expressed as $X=X^\mu\partial_\mu$. In the context of QFT, as far as I understand, the symbol $\partial_\mu$ denotes  $(\partial_t,\nabla)$ in the local coordinates $(t,x,y,z)$. So that $\partial_\mu\phi=(\partial_t \phi,\partial_x \phi,\partial_y\phi,\partial_z\phi)$. This was supposed to be my justification on why I wrote the summation on $\mu$ and $\nu$ in $(*)$, but now I note that this only applies when $\mu$ or $\nu$ appear twice, indicating the scalar product; which leads me to the last remark. I think of $g_{\mu \nu}$ as the component of the matrix $$g=\begin{pmatrix} 1&amp;0&amp;0&amp;0\\ 0&amp;-1&amp;0&amp;0\\ 0&amp;0&amp;-1&amp;0\\ 0&amp;0&amp;0&amp;-1\\ \end{pmatrix}$$ which represents the pseudo-Riemmanian metric, which by definition acts on tangent vectors, i.e. linear combinations of the $\partial_\mu$ applied to a point. This is where my doubt comes, in which was the right way to interpret the notation; in particular what is the expresion $(\#)$ in explicit coordinates? I can open Thunderbird but as soon as I click on any file thunderbird freezes. Went to tools can see first page of settings but thunderbird freezes.  Ran norton 360 &amp; rebooted too   Went to firefox website to download thunderbird Version 3.1.9 (3) program downloads and then freezes while norton checks for viruses....  Any suggestions?