I have a C-1/D visa valid until 2019, but I am not working on a cruise ship right now. I work at the Atlantis in Nassau, Bahamas. I want to travel to India via a US airport. Would I be able to use the C-1/D visa to transit through the USA, or do I need a separate transit visa to make the trip?
I'm not a resident of USA. But I work on a cruise ship which required me to have C-1/D visa. I am leaving USA and traveling to Mexico but I will have a connecting flight somewhere in another US airport with 1-2 hours waiting for connecting flight to Mexico.   Do I need B1/B2 visa for that? Or my transit visa C-1/D will be enough as long as I am leaving USA?
Convert all text from uppercase to lowercase and vice versa? My question is how can I convert all text from uppercase to lowercase and vice versa? That is to change the cases of all the letters. It has to be done with a sed replacement somehow. The sum of an uncountable number of positive numbers Claim: If $(x_\alpha)_{\alpha\in A}$ is a collection of real numbers $x_\alpha\in [0,\infty]$ such that $\sum_{\alpha\in A}x_\alpha&lt;\infty$, then $x_\alpha=0$ for all but at most countably many $\alpha\in A$ ($A$ need not be countable).  Proof: Let $\sum_{\alpha\in A}x_\alpha=M&lt;\infty$. Consider $S_n=\{\alpha\in A \mid x_\alpha&gt;1/n\}$.  Then $M\geq\sum_{\alpha\in S_n}x_\alpha&gt;\sum_{\alpha\in S_n}1/n=\frac{N}{n}$, where $N\in\mathbb{N}\cup\{\infty\}$ is the number of elements in $S_n$.  Thus $S_n$ has at most $Mn$ elements.   Hence $\{\alpha\in A \mid x_\alpha&gt;0\}=\bigcup_{n\in\mathbb{N}}S_n$ is countable as the countable union of finite sets. $\square$  First, is my proof correct? Second, are there more concise/elegant proofs? product of two uniformly continuous functions is uniformly continuous Suppose that $f$ and $g$ are uniformly continuous functions defined on $(a,b)$. Prove that $fg$ is also uniformly continuous on $(a,b)$.   My attempt: Since $f$ is uniformly continuous on $(a,b)$, for all $\epsilon&gt;0$, we have $\delta_f(\epsilon)&gt;0$ such that for all $x,y \in (a,b)$, $|x-y|&lt;\delta_f$, $|f(x)-f(y)|&lt;\epsilon$  Since $g$ is uniformly continuous on $(a,b)$, for all $\epsilon&gt;0$, we have $\delta_g(\epsilon)&gt;0$ such that for all $x,y \in (a,b)$, $|x-y|&lt;\delta_g$, $|g(x)-g(y)|&lt;\epsilon$  Notice that $$|f(x)g(x)-f(y)g(y)|=|f(x)g(x)-f(x)g(y)+f(x)g(y)-f(y)g(y)| \leq |f(x)||g(x)-g(y)| + |g(y)||f(x)-f(y)|$$  Here I don't know how to bound $|f(x)|$ and $|g(y)|$. I have proven that uniformly continuous functions preserve boundedness of an interval , i.e. $f$ is bounded on $(a,b)$. Can anyone help me? In Inkscape when I apply a dash stroke, then set a mid marker shape, it does not show anything. I am making a character for a campaign that is starting soon. The character is going to start out as a cleric (War Domain) and will multiclass into artificer (Battle Smith).   I have looked at the multiclassing rules, but I am having trouble making heads or tails of it for a multi-class involving a 2/3 caster (the Artificer) and a full caster (the Cleric).  That leads me to my question: what would a level 15 War Domain cleric/level 5 Battle Smith artificer look like? How many spells per level? How many cantrips? Does the artificer's ability to replace cantrips still apply? A person who speaks kindly. Sometimes she might be hard, but fair.   What is an adjective to describe such person? How do I remove a property from a JavaScript object? Converting a short cage rear derailleur to a long cage derailleur Is it possible to convert a short cage rear derailleur (for example the Huret Svelto) to a long cage derailleur by just taking the lower cage and replacing it by a longer one? Installing gcc-7 (and newer packages) in Ubuntu 16.04 What is the difference between "Have you seen this?" and "Did you see this?" What's the difference between these two phrases? How would I write the equivalent of C#'s  in JavaScript?  var haystack = 'hello world'; var needle = 'he';  haystack.startsWith(needle) == true   Note: This is an old question, and as pointed out in the comments ECMAScript 2015 (ES6) introduced the  method. However, at the time of writing this update (2015) . What exactly are DLL files, and how do they work? How exactly do DLL files work? There seems to be an awful lot of them, but I don't know what they are or how they work.  So, what's the deal with them? Least rank of a matrix Let $A$ be a $7\times 7$ matrix such that it has rank $3$ and $a$ be $7\times 1$ column vector.  Then least possible rank of $A+(a a^T)$ is? ($a^T$ is transpose of the vector)  Intuitively I think it's $2$ as $a a^T$ has rank $1$, and the most it could affect is one row of $A$. What happens to the Windows 7 key when upgrading to Windows 8? Microsoft is offering "Microsoft Windows 8 Professional Upgrade" at a discounted price compared to the OEM version. However it states:     If you currently have a personal computer running Windows 7, Windows XP or Windows Vista then you can upgrade to Windows 8 Pro (Professional).   My question is what happens to the Windows 7 key that I use to upgrade? Will it become the Windows 8 key or will it generate a new Windows 8 key?  Basically if I upgrade using my Windows 7 key from my laptop for my desktop will I be able to continue using the laptop on Windows 7 while concurrently using Windows 8 upgrade on my Desktop? The limit of a convergent Gaussian random variable sequence is still a Gaussian random variable I'm trying to prove this conclusion but have some problems with one of the steps.  Assume $X_1,\ldots,X_n,\ldots$ is a sequence of Gaussian random variables, converging almost surely to $X$, prove that $X$ is Gaussian.  We use characteristics function here. Since $|\phi_{X_n}(t)|\leq 1$, by dominated convergent theorem, we have for any $t$  $$ \lim_{n\rightarrow\infty}e^{it\mu_n-t^2\sigma_n^2/2}=\lim_{n\rightarrow \infty}\phi_{X_n}(t) = \lim_{n\rightarrow \infty}\mathbb{E}\left[e^{itX_n}\right] = \mathbb{E}\left[e^{itX}\right] = \phi_X(t) $$  this is the step that I cannot figure out: $e^{it\mu_n-t^2\sigma_n^2/2}$ converges for any $t$ if and only if $\mu_n$ and $\sigma_n$ converges.   Let $\mu=\lim_n \mu_n$, and $\sigma=\lim_n\sigma_n$, then $\phi_X(t)=e^{it\mu-t^2\sigma^2/2}$, which proves that $X$ is a Gaussian random variable.  Why can we get that $\mu_n$ and $\sigma_n$ converge? This looks intuitive for me, but I cannot make a rigorous prove. Prove that $\frac{ 5^{125}-1}{ 5^{25}-1}$ is a composite number More Efficient Spatial join in Python without QGIS, ArcGIS, PostGIS, etc Edges on an even number of Hamilton cycles How do I play Minecraft with people online, besides using a server? Let $L,M$ two subspaces of the vector space, $V$ such that both $L,M \ne V$.   Prove: $L\cup M \ne V$.     I think this is a case of a proof by contradiction. Lets assume $L \cup M = V$.   Hence, $$\dim(V) = \dim(L) + \dim(M) - \dim(L\cap M)$$  How to proceed?