Ubuntu 16.04 HBO Nordic I'm unable to watch HBO Nordic on my laptop using Ubuntu.  I previously used ubuntu 14.04 32-bit but was unable to get firefox to play HBO. When you played a movie I could only see the loading screen.  Tried the solutions in  without any luck. So I ended up upgrading to 16.04 LTS 64-bit because I read somewhere that Chrome would play HBO.  Once upgraded and with Chrome installed I ran into the same problem.  I keep reading on forums about the issue and read about the HAL package which presumably was the way to go. Nope. same error.   The pipelight plugins never appeared amongst the firefox plugins and reading on hal you could test that it works by going to , and entering  but there I only receive "Loading Flash Access License".  Does anyone have any suggestions?
HBONOW on Ubuntu 16.04LTS I am trying to watch HBONow on Ubuntu 16.04LTS on Chrome browser. It is showing the certification video (i.e. PG-13, TV-MA) and then when it tries to load content it's never shows up.  My windows browser is able to load it successfully. What could be the possible solutions?
CAML query daterange not working Prove that $ S=\{0\}\cup\left(\bigcup_{n=0}^{\infty} \{\frac{1}{n}\}\right)$ is a compact set in $\mathbb{R}$, but $\bigcup_{n=0}^{\infty} \{\frac{1}{n}\}$ is not a compact set.   (Can we use definition of compact set for this problem? ) Show that $\frac{1}{x_1^2}+\frac{1}{4\cdot x_2^2}+\ldots+\frac{1}{n^2\cdot x_n^2}\leq\frac{3n-2}{2n-1}$. Let $$x_n=\frac{1}{1^2}+\frac{1}{2^2}+\ldots+\frac{1}{n^2},\;\forall n\geq 1.$$ Show that $$\frac{1}{x_1^2}+\frac{1}{4\cdot x_2^2}+\ldots+\frac{1}{n^2\cdot x_n^2}\leq \frac{3n-2}{2n-1}.$$   I tried to prove it by induction  but I got a contradiction. How to calculate 95% CI for cumulative incidence rate using R? Use of 100K ohm resistor along with 0.1uF capacitor? In the circuit diagram below, why is there a 100K&Omega; resistor (NOT R2) connected to the capacitor? To my understanding the capacitor-resistor act as a high pass filter to block the DC offset of the microphone, but since only the capacitor blocks DC why is the 100k resistor used? According to the author of the video (link below) he said, the 100k is used "not to overload the microphone's un-amplified output". I don't get this part.  Also, can only a capacitor be used in this circuit or any other circuit without the 100k resistor? $E$ is a measurable set of finite measure and $1 \le p_{1} &lt; p_{2} &lt; \infty$. Consider the linear space $L^{p_{2}}(E)$ normed by $||.||_{p_{1}}$. Is this space Banach? options for [for /f "usebackq" %%f in (`find "" path`) do] sentence in batch I symplified my problem: @echo off set res=  for /f &quot;usebackq&quot; %%f in (`find &quot;a&quot; list.txt`) do set res=%%f echo %res%  pause&gt;nul and that things.txt file in the code is like:  list.txt file in the code is: apple pitch pear melon mango  As you expect, the result of this code is mango  because the line 'mango' is located below the line 'apple' and 'pear' But the result I want is apple  or pear  Specifically, I want to put each of the other values above mango such as apple and pear into the variable res using option keys provided. is there any way to do that? A lot of textbooks and exam boards claim that light incident at exactly the critical angle is transmitted along the media boundary (i.e. at right-angles to the normal), but this seems to violate the principle of reversibility in classical physics.  How would a photon or ray travelling in the reverse direction "know" when to enter the higher refracting medium?  It can't know, so I conclude that such light is simply reflected?  Is this correct? Get the name of an object's type Proving that cardinality of the reals = cardinality of $[0,1]$ Homework problem, intro to topology. Here's what I've done so far. Am I on the right track? And, how would you advise me to proceed from here?  I have already established that $\left |[0,1] \right | = \left |[0,1) \right|$. Now I wish to show that $\left |[0,1) \right| = \left |\mathbb{R} \right |$. I will try to do this by constructing a bijection $f: [0,1) \rightarrow \mathbb{R}$.  Given $x \in [0,1)$, consider the following countably infinite subset of $\mathbb{R}$: $x^c = \{x+1, x-1, x+2,x-2,x+3,x-3,\ldots   \}$.  Then we have that $$ \bigcup_{x \in [0,1)} x^c = \mathbb{R}, $$ and if $x_1, x_2 \in [0,1)$ with $x_1 \neq x_2$, then $x_1^c \cap x_2^c = \varnothing$. Is "data" treated as singular or plural in formal contexts? My non-native English speaking friend just asked me: "Data is..." or "Data are..."?  I said both but that's because I've been desensitized from reading/writing both (especially from writing code and adding quick comments).  My question: Is it acceptable to utilize either for a university paper? Or is one safer than the other (when confronted with stickler professors)?    Related questions: I'm having a problem finding out a way to project from top view and the side view so I texture better. It just replaces the current projection with the top view    So is it possible to project from view twice on the same image? How can I securely format a solid-state drive? How to convert from high poly to low poly I'm making a game in the unity engine and for my models i'm using blender 2.6. The thing is that i'm pretty new to graphics design (modeling, sculpting, etc) and by following some tutorials i've managed to make some very high poly meshes for my characters with the sculpt editor, the meshes have about 1.5M - 2M faces and of course a game character should be less than 30K faces so the game runs smoothly with good optimization on an average pc.  my question is how do i translate the details of the high poly stuff to low poly meshes (7k - 30k faces), i've heard about uv unwrapping and stuff but i'm not sure what is the process to follow.  i don't mind if the recommendation is very hard and for advanced users because the primary thing i want to do with this, is to learn. Can older cards that refer to a player/opponent ever be used on planeswalkers? Many older cards refer to players or opponents, e.g. "deal 3 damage to target player". Can any of these be used on planeswalkers, beyond the fact that you can simply attack them with creatures?  For example:   Would my opponent discard a card if  damaged a planeswalker they control? Would my opponent, the planeswalker, neither, or both amass poison counters from an unblocked ? Can  target a planeswalker? Does  affect planeswalkers? Can  prevent damage to a Planeswalker? Would  be obligated to take damage being dealt to a planeswalker? Can a planeswalker gain loyalty from ? Can  prevent damage to a planeswalker? I have a 2x2 experimental design. In the experiment, I also collected the participants' professional qualifications (categorical variable- yes /no). I would like to test the effect of controlling this variable on the MSE. I understand that in ANCOVA, the covariate is either an interval or ordinal variable. So should I refer to the test as an ANCOVA if I include professional qualification as an additional variable? Or should it be a blocking variable since &quot;prof. qualification&quot; is categorical. Transit Visa in Hong Kong for 15 hour layover between India and USA? We are (2) Indian nation and travelling from India to USA via Hong Kong airport and about 15 hours layover in Hong Kong airport. Do we need a transit visa even if only changing planes? And can we apply in Hong Kong Airport? Is there some kind of icon browser? When making a custom launcher, it is nice to have a matching icon for it from the default usr ubuntu directories. The problem that is: Ubuntu seems to store icons in about 50 or more folders. Browsing all of them in nautilus takes ages.  So my question is: Is there some kind of icon browser that shows an overview of all icons in /usr/share/icons/*? Suppose $\sum{a_n}$ converges. How do I prove that $\sum{\frac{\sqrt{a_n}}{n}}$ converges It's clear to me by inspection that if we fix $\beta = \frac{1-\mu}{\mu} \alpha$ (thereby fixing the mean) and let $\alpha \rightarrow 0$, the Beta distribution approaches a Bernoulli($\mu$) distribution.  For example:  par(mfrow = c(1, 2),     oma = c(0, 0, 1.5, 0)) xx = seq(0, 1, length.out = 1000) mus = c(.2, .7) for (ii in 1:2) {   mu = mus[ii]   matplot(xx, sapply(10^(-1:-5), function(al)      pbeta(xx, al, (1-mu)/mu * al)),     type = 'l', lty = ii,     main = paste('Mean:', mu),     ylab = 'Cumulative Probability', xlab = 'x') } title('Beta Approaches Bernoulli', outer = TRUE)     That is, if $X \sim B(\alpha, \frac{1-\mu}{\mu} \alpha)$, its CDF $F_X(x; \alpha, \mu)$, satisfies  $$ \lim_{\alpha \rightarrow 0} F_X(x; \alpha, \mu) = 1 - \mu = F_Y(x) \quad \forall x \in (0, 1)$$  Where $Y \sim$ Bernoulli($\mu$), and the convergence is non-uniform. I tried to do a more formal proof of this but couldn't make any progress, even in simple cases (like $\mu = \frac12$). The  makes reference to the $\mu = \frac12$ case several times without proof. Perhaps I'm missing something easy about doing the integral, or some fact about the Beta/incomplete Beta function. Any help would be appreciated!