Me and my friend want to play Minecraft together on the same WiFi. He has a Windows 10 computer and I have a Mac. At first, opening to LAN would not show up at all. Then I found a way to prefer IPv4 using:  _JAVA_OPTIONS=-Djava.net.preferIPv4Stack=true /Applications/Minecraft.app/Contents/MacOS/launcher   This would make my friends place show up on my screen, but my friend would not see my place when we enabled our open to LAN at separate times. I tried disabling my firewall and it would still not work. When I try to connect to my friends place, I get the error     io.netty.channel.connecttimeoutexception connection timed out.   When my friend tried to direct connect, he would get the same error. Any help is appreciated. We are both on the same Internet right next to each other.
My friend had hosted a Minecraft server before and brought it back up today with my help. He and anyone in his LAN can connect. However we have had a few people try to connect, including me, and when we try to connect it gives the message:  Failed to connect to the server Connection timed out: connect  What does this exactly mean? How do we fix this?
Meaning of Conditional sentences with 'should' and 'happen to' I'm a bit familarized with conditional sentences. But the following sentences with 'should' and 'happen to' are quite confusing too me. They are:   If it should rain, I will stay at home. 2.If it should happen to rain, I'll stay at home   If it happens to rain, I'll stay at home.    What are the meaings of those sentences ? Do they all mean the same ? Thank you a lot in Advance for your answer. Is there an AmpScript function that can be used in an equivalent manner to sql left, right and mid functions?   Thanks, Mark A priori power analysis for generalized linear mixed-effects model Let's say I have a data set (with a binary DV) which I used a generalized linear mixed-effects model on. I am currently trying to run a simulation-based power analysis to determine the sample size I should try to collect for a replication attempt.   I know about the  function for fitted lme4 model objects, which will create simulated responses that follow the size and structure of the actual dataset.  My question is, how can I use this fitted model object to run an a-priori power analysis for my replication?. In other words, is there an easy way to extract the necessary information from the simulate function, vary the sample size, then to simulate responses?  EDIT:  Here is a simple example with ten subjects that should give me a good starting place. The data here are totally fake so the effects are not close to what I have in the pilot data.  The two variables of interest are age in months (between subjects) and whether the stimulus is "similar" or "dissimilar" (within subjects). Each individual is exposed to three items within each similarity group, for a total of six binary responses for each subject. As seen in the model, I am interested in a possible interaction between age and similarity and include a random slope of similarity to do this.   Let me know if I need to modify anything/provide more information to make things easier.   set.seed(28)  fakeData &lt;- data.frame(ID = rep(1:10, each = 6),                        months = rep(round(runif(10, min = 60, max = 80)), each = 18),                        similarity = rep(c("Sim", "Dissim"), each = 3),                        response = sample(c(0, 1), 60, replace = TRUE))  fakeModel &lt;- glmer(response ~ months * similarity + (similarity | ID), family = binomial, data = fakeData) summary(fakeModel) Prove that if $V$ and $W$ are three-dimensional subspaces of $\Bbb R^{5}$, then $V$ and $W$ must have a non-zero vector in common.  So far I got $V = \{v_{1}, v_{2}, v_{3}\}$ and $W = \{ w_{1}, w_{2}, w_{3}\}$ because they are 3-dimensional subspaces. Then $V \cup W = \{v_{1}, v_{2}, v_{3}, w_{1}, w_{2}, w_{3}\}$  My prof said that now I need to prove that they are linearly independent so this is a contradiction and the statement is wrong because we are in $\Bbb R^{5}$ and we have 6 elements on it.  I don't know how to express them as a linearly independent proof, so I hope anyone can give me a good explanation on it. All Faces to Individual Objects I am looking for a way to take all the faces of an object and make each face it's own object.   In the image above, you'll see a basic representation of what I'm trying to accomplish. On the left is a shape with faces, all attached. On the right is the result I want, an object for each face. The project I'm working on is much more complicated than this example, so I can't select each face and separate by selection. I have over 3,000 faces to work on. Can you tell me the difference in the meaning of the two sentences below?  As a defining relative clause.     The location which was called Central Park was a park in New York.    As a non-defining relative clause.     The location, which was called Central Park, was a park in New York. How do I calculate the distance between two points specified by latitude and longitude?  For clarification, I'd like the distance in kilometers; the points use the WGS84 system and I'd like to understand the relative accuracies of the approaches available. I’m a big fan of ampersands (possibly too much …) and I’d like to replace all mentions of “et al.” (included in citations) by \&amp; al. – both in the main text (I use natbib citations of the form [Author1 et al., 1999]), and in the actual bibliography?  How can I do that, considering that BibTeX is inserting the words for me, and I have no control over the text? Preferably, I’d like to do this without creating my own bibliography style sheet (since I want to make this work regardless of the actual BibTeX style that is used), but if anyone can tell me how I need to edit the style sheet file, that would be fine as well (makebst doesn’t seem to offer an option for this …). As per the following example, and as in  In bash, where has the trailing newline char gone?, I want to know "why" it happens    x="$(echo -ne "a\nb\n")" ; echo -n "$x" | xxd -p  # Output is: 610a62  # The trailing newline from the 'echo' command #   has been "deleted" by Command Substitution   I assume there must be some very significant reason for a shell action, namely Command Substitution, to actually delete some data from the command output it is substituting... but I can't get my head around this one, as it seems to be the antithesis of what it is supposed to do.. ie. to pass the output of a command back into the script process... Holding back one character seems weird to me, but I suppose there is a sensible reason for it...  I'm keen to find out what that reason is... How to force the user to download a file, not to view it? How to test multiple variables against a single value? Identifier for win64 configuration in Qmake Is there a "win64" identifier in Qmake project files?  documentation does not mention other than unix / macx / win32.  So far I've tried using:  win32:message("using win32") win64:message("using win64") amd64:message("using amd64")   The result is always "using win32".  Must I use a separate project-file for x32 and x64 projects, so they would compile against correct libraries? Is there any other way to identify between 32-bit and 64-bit environments? Prove that if $|G| = p^n$ then $G$ has a subgroup of order $p^m$ for all $0\le m &lt;n.$   Since $G$ is of prime-power order I know $|Z(G)| \ne e$ so there is an $a\in Z(G)$ with order $p$ such that $p \mid |Z(G)|$. Now, the subgroup generated by is normal since it's a subgroup of the center. How can I get this normal subgroup to be less than $n$? Biblatex citation order I'm facing a problem with biblatex citation order.  Using this configuration:  \documentclass {article} \usepackage[brazil]{babel} \usepackage[utf8]{inputenc} \hyphenation{es-ta-bi-li-da-de} \usepackage{setspace} \singlespacing \usepackage[natbib=true,style=numeric]{biblatex} \addbibresource{frameworks.bib}   Being frameworks.bib this:  @Article{JONHSON88, author = {Ralph Johnson, Brian Foote}, title = {Designin Reusable Classes}, journal = {Journal of Object-Oriented Programming SIGS}, year = {1988}, key = {Johnson:88}, volume = {1}, number = {5}, pages = {22-35}, month = jun }  @book{UML-F:00, author = {Fontoura M., Pree W., Rumpe B.}, editor = {Addison-Wesley}, title = {The UML Profile for Framework Architectures}, year = {2000}, }   The PDF is generated with a text like:  Something about something[4], and moo foo other children[1].   This citation [4] is the first in all text. How can I order this correctly to [1]...[2] ...? Is http://stackexchange.com/ down ? Disable the activation of the menu bar when Alt is pressed in Windows 7 In Windows 7 how can I disable the function that activates the menu bar when Alt is pressed?  Are there some registry values to modify this behaviour? One of the answers in a reading exercise in my class today was:   100,000,000,000,000,000,000   ... which was the value of the highest denomination note ever issued. It was a 100,000,000,000,000,000,000 Pengo note, issued by Hungary in 1946. The students in my class wanted to know how they could say that last sentence in words in English. So I told them that I didn't know. They pointed out to me that if they wanted to read this bit of writing to someone they'd want to be able to use the words. Fair point.  Can anyone help?  [In case you're interested, a 100,000,000,000,000,000,000 Pengo note was worth about $0.20!] How to deal with high correlation among predictors in multiple regression? I found a reference in an article that goes like:     According to Tabachnick &amp; Fidell (1996) the independent variables with   a bivariate correlation more than .70 should not be included in   multiple regression analysis.   Problem: I used in a multiple regression design 3 variables correlated >.80, VIF's at about .2 - .3, Tolerance ~ 4- 5. I cannot exclude any of them (important predictors and outcome). When I regressed the outcome on the 2 predictors which correlated at .80, they remained both significant, each predicted important variances, and these same two variables have   the largest part and semipartial correlation coefficients amongst all 10 variables included (5 controls).   Question: Is my model valid despite high correlations? Any references greatly welcomed!    Thank you for the answers!  I did not use Tabachnick and Fidell as a guideline, I found this reference in an article dealing with high collinearity amongst predictors.   So, basically, I have too few cases for the number of predictors in the model (many categorical, dummy coded control variables- age, tenure, gender, etc) - 13 variables for 72 cases. The Condition Index is ~ 29 with all the controls in and ~23 without them (5 variables).   I cannot drop any variable or use factorial analysis to combine them because theoretically they have sense on their own. It is too late to get more data. Since I am conducting the analysis in SPSS perhaps it would be best to find a syntax for ridge regression (although I haven't done this before and interpreting the results would be new to me).   If it matters, when I conducted stepwise regression, the same 2 highly correlated variables remained the single significant predictors of the outcome.  And I still do not understand if the partial correlations which are high for each of these variables matter as an explanation for why I have kept them in the model (in case ridge regression can't be performed).   Would you say the "Regression diagnostic: identifying influential data and sources of collinearity / David A. Belsley, Edwin Kuh and Roy E. Welsch, 1980" would be helpful in understanding multicollinearity? Or might other references be useful? When I add a mirror modifier it sometimes doesn't mirror correctly, giving me an overlapping mesh. How can I fix this? Is it possible to identify what the parent program/app is from a running process?