How do I register a .NET assembly to the GAC and register it for COM in WIX? (Regasm)
What's the 'correct' way of registering/installing an Assembly to the GAC?
Holomorphic function $\varphi$ with fixed point $z_0$ such that $\varphi'(z_o)=1$ is linear? Some sites are . What additional sites should the chat support?  One suggestion per answer. Finding a 2x2 Matrix raised to the power of 1000 Let $A= \pmatrix{1&amp;4\\ 3&amp;2}$. Find $A^{1000}$.  Does this problem have to do with eigenvalues or is there another formula that is specific to 2x2 matrices? Is it possible to modify the title of the message box the confirm() function opens in JavaScript?   I could create a modal popup box, but I would like to do this as minimalistic as possible. I would like to do something like this:  confirm("This is the content of the message box", "Modified title");   The default title in Internet Explorer is "Windows Internet Explorer" and in Firefox it's "[JavaScript-program]." Not very informative. Though I can understand from a browser security stand point that you shouldn't be able to do this. I'm working on a WordPress site for my band and I'd like to mark every 3rd post on our blog page to have a special class applied to it, anybody have any pointers on how to achieve this? Any help is very very appreciated, thanks! rock n roll. Lebesgue integration: $f = g$ a.e. $ \Rightarrow \int_\Omega f = \int_\Omega g$ Let $f,g : \Omega \subseteq \mathbb R^n \rightarrow [0,+\infty]$ be measurable functions with $f(x) = g(x)$ a.e. . Then I have to show that $\int_\Omega  f = \int_\Omega g$.  I may not assume that $\int_\Omega (f+g) = \int_\Omega f + \int_\Omega g$.   This task is from Tao Proposition 19.2.6. Java - Could not find the main class Why are the number of false positives independent of sample size, if we use p-values to compare two independent datasets? If I run the R code below, it will generate two independent vectors then test them to see if they are related in some way (i.e. p-value &lt; 0.05).  If I repeat this 1,000 times, then 50 of these (5%) will have a false positive, with a p-value &lt; 0.05. This is a type 1 error.  If we increase sampleSize to 1000, or even 100,000, the results are the same (5% false positives).  I am struggling to understand this, as I would have thought that if we collected enough samples, the chance of a false positive would drop towards 0 (just like correlation).  So, I guess my question is: "How is it possible that the number of false positives, based on p-values generated from comparing two independent datasets, be independent of sample size?".  # R code to demonstrate that with a large dataset, we can still  # get significant p-values, purely by chance.  # Change this to 1000, and we still get the same number of false positives (50, or 5%). sampleSize = 20  cat("Sample size:",sampleSize,"\n")  set.seed(1010093) n=1000 pValues &lt;- rep(NA,n) for(i in 1:n){     y &lt;- rnorm(sampleSize)     x &lt;- rnorm(sampleSize)     pValues[i] &lt;- summary(lm(y ~ x))$coeff[2,4] } # Controls false positive rate fp = sum(pValues &lt; 0.05) cat("Out of ",n," tests, ",fp," had a p-value &lt; 0.05, purely by by chance.\n",sep="")  ----output---- Running "true positives - none.R" ... Sample size: 1000  Out of 1000 tests, 52 had a p-value &lt; 0.05, purely by by chance. Why did Zobrist leave the trail to the virus in the first place? Finder: keep sort-by per-directory Getting a random object from NSArray without duplication Excessive water when cooking scallops This is partly a continuation of  question, since that one was already closed, but my question is about a specific problem encountered the last time I cooked scallops.  I got the pan up to a reasonable temperature and put the scallops in, and as they were cooking, TONS of water came out of the scallops and filled the pan.  I poured it out, continued cooking, and more water came out.  Several iterations later, I thought they were done, but they were still very raw inside, so we ended up tossing the batch (it definitely wasn't sushi grade).  Where did all the liquid come from, and is there any way to avoid that the next time? I am trying to perform stepwise regression for variable selection in R.  In matlab, the stepwisefit function is able to work in n &lt; p problems. Trying to use step() for such problems i get the error message AIC is -infinity for this model, so 'step' cannot proceed. Is there a way to modify parameters so i can use step function? Is it possible to level grind in Normal Mode? So in Awakening, we can use Reeking Boxes... but what of Three Houses? I'm not far off from the beginning of the game- I have just recently finished the mock battle, actually, but I noticed this calendar mechanic in the game (and in extension, the activity points stuffs). Apparently, the days just... jump.  With this info, I assume there's only a limited number of days before reaching the so-called War Phase... so this brings me back to the question: are there maps or battles that I can replay again and again so that I can level grind the characters, or are there only a limited amount of maps/battles that I can participate in? What does "more buyers than sellers" in technical analysis of stocks actually mean? I often hear/read technical analysts looking at volume and price action on a chart and claiming that there are "more buyers than sellers" or vice versa.  Since every trade requires a buyer and a seller, how can volume/price signify more of one than the other?  What does that actually mean?  When I hear that there are "more buyers," I get the impression they actually mean more "professional" or "institutional" buyers, but I could just be imagining that meaning.  But wouldn't this "more buyers" situation actually represent a smaller number of large buyers placing multiple orders? (and those orders would be matched by a larger number of smaller investors on the other side of the trade?)  Maybe I have my assumptions backwards and "more buyers" is what they say when they actually mean "more retail buyers and less institutional buyers"?  Or maybe the expression has nothing to do with number of buyers/sellers at all and is just some arbitrary technical analysis situation?  What situation is it that they're trying to describe?  If the "smart money" traders had placed larger orders, then there would have to be equally large sellers on the other side of that large trade, right?  I know trades often get broken up, but if the trades had been broken up it would be equivalent to "large traders placing multiple orders" scenario described above.  If the trades were not broken up, then there would not be an imbalance in the "number" of "smart" vs. retail buyers/sellers, right?  UPDATE/EDIT: I usually see this stated in reference to technical indicators such as RSI.  I don't typically hear people saying "there are more buyers than sellers" in the situations you guys are describing with more unfilled orders on one side of the (potential) trade (though that would make more sense if that was what they were talking about).  See for example: Say, I have a script that gets called with this line: ./myscript -vfd ./foo/bar/someFile -o /fizz/someOtherFile  or this one: ./myscript -v -f -d -o /fizz/someOtherFile ./foo/bar/someFile   What's the accepted way of parsing this such that in each case (or some combination of the two) $v, $f, and  $d will all be set to true and $outFile will be equal to /fizz/someOtherFile? If $A^2 = I$, $B^2=I$ and $(AB)^2=I$, then $AB = BA$ Matrix Question  If $A^2 = I$, $B^2=I$ and $(AB)^2=I$, then $AB = BA$  Basically, got up to $A(BA-AB)B = 0$ (by cancelling and equating terms from $I^2 = I$ and to $A^2B^2 = A^2B^2$ and using distributive laws), but that doesn't work out too well!  Thanks for help in advance! I have looked for similar questions here on stack exchange. The closest example to this that I found is . That question assumed less than perfect absorption of material lining the inside of the sphere, and the effect of thermally re-radiating it inside the sphere.  A lot of the answers focused on that much of the thermal radiation would not be reflected back to the star, and is likely to be reabsorbed by the sphere at another location. On the other hand, this question asks what would happen if the Dyson sphere, using mirrors, deliberately refocus a significant portion of the rays directly back at the star. How are the AES S-Boxes calculated? I'm trying to understand how the AES S-Boxes are calculated. I understand how the multiplicative inverse is calculated over $GF(2^8)$, but I'm confused by the description of the affine transformation. I haven't been able to Google a good explanation of how the S-Box values are calculated. Can someone explain how this works, starting after the calculation of the multiplicative inverse? Linear mixed effect model vs. Ordered Probit vs. Ordered Logit with ordinal response I have a set of data with an ordinal response ranging from 1-5 (worst to best) and a categorical predictor with five unordered levels. The experiment is a language experiment whereby subjects are asked to rate different sentence types. In the literature it seems that people fit lmer() most of the time by scaling the ordinal response per subject (i.e. taking the mean response and standard deviation of that subject and dividing the every single response by it.). On the other hand, it seems a reasonable approach to use ordered linear mixed effects probit models or ordered linear mixed effects logit models as implemented in e.g. MCMCglmm() or clmm().  (1) I find myself asking what the best method would be. When is one method to be prefered over the other in an experiment as I have sketched above?  (2) Why do people prefer fitting an lmer() model with a scaled response? What is the advantage?  (3) If it is advisable to use an ordered probit or logit model, how do I decide between an ordered probit or ordered logit model?  Thanks for any help!