Beamer vs article cls math rendering
Problem with typesetting maths content in an unusual font in beamer
How to type a circumflex over a greek letter in text mode? How to sort an array of objects containing null elements? SQL Server Stored Procedure Update not working with ASP.Net C# GridView RowUpdating Algorithm faster than Newton's for calculating $\sqrt{2}$ Is it safe to use a voltage divider for Arduino and DC motor controller? "Your Sites" in Android left sidebar shown in unpredictable order How to create a node with submissions of a webform? I'm using Drupal 7 and created a content type 'NewArticle' with the fields 'Title', 'Text' and 'Image'. Users have the permission to create a 'NewArticle', but I don't like the way of displaying the administration bar in order to let them create a 'NewArticle'.  Instead, I'd like to work with . My goal is to create a Webform with exactly the same fields as the content type 'NewArticle'. So what I want is: when users filled in the form and submit it, a new node 'NewArticle' is created with the submitted information.  How can I do this? Are there modules that make this possible? I can't find any... Initialization of an ArrayList in one line How to count occurrences of one field grouped by values of another? I know why questions, answers and some other aspects of the site are color-coded and what they mean but I can't find why badges are color-coded. I'll include a snapshot to show what I mean. Need polite phrases expressing disagreement with the information/conclusions of another person, especially an educator Evaluating logistic regression and interpretation of Hosmer-Lemeshow Goodness of Fit As we all know, there are 2 methods to evaluate the logistic regression model and they are testing very different things  Predictive power: Get a statistic that measures how well you can predict the dependent variable based on the independent variables. The well-known Pseudo R^2 are McFadden (1974) and Cox and Snell (1989).  Goodness-of-fit statistics The test is telling whether you could do even better by making the model more complicated, which is actually testing whether there are any non-linearities or interactions that you have missed.   I implemented both tests on my model, which added quadratic and interaction already:     &gt;summary(spec_q2)      Call:     glm(formula = result ~ Top + Right + Left + Bottom + I(Top^2) +       I(Left^2) + I(Bottom^2) + Top:Right + Top:Bottom + Right:Left,       family = binomial())       Coefficients:                  Estimate Std. Error z value Pr(&gt;|z|)         (Intercept)  0.955431   8.838584   0.108   0.9139         Top          0.311891   0.189793   1.643   0.1003         Right       -1.015460   0.502736  -2.020   0.0434 *       Left        -0.962143   0.431534  -2.230   0.0258 *       Bottom       0.198631   0.157242   1.263   0.2065         I(Top^2)    -0.003213   0.002114  -1.520   0.1285         I(Left^2)   -0.054258   0.008768  -6.188 6.09e-10 ***     I(Bottom^2)  0.003725   0.001782   2.091   0.0366 *       Top:Right    0.012290   0.007540   1.630   0.1031         Top:Bottom   0.004536   0.002880   1.575   0.1153         Right:Left  -0.044283   0.015983  -2.771   0.0056 **      ---     Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1     (Dispersion parameter for binomial family taken to be 1)     Null deviance: 3350.3  on 2799  degrees of freedom     Residual deviance: 1984.6  on 2789  degrees of freedom     AIC: 2006.6  and the predicted power is as below, the MaFadden is 0.4004, and the value between 0.2~0.4 should be taken to present very good fit of the model(Louviere et al (2000), Domenich and McFadden (1975))                                                :  &gt; PseudoR2(spec_q2)     McFadden     Adj.McFadden        Cox.Snell       Nagelkerke McKelvey.Zavoina           Effron            Count        Adj.Count     0.4076315        0.4004680        0.3859918        0.5531859        0.6144487        0.4616466        0.8489286        0.4712500           AIC    Corrected.AIC  2006.6179010     2006.7125925   and the goodness-of-fit statistics:  &gt; hoslem.test(result,phat,g=8)       Hosmer and Lemeshow goodness of fit (GOF) test    data:  result, phat   X-squared = 2800, df = 6, p-value &lt; 2.2e-16  As my understanding, GOF is actually testing the following null and alternative hypothesis:   H0: The models does not need interaction and non-linearity   H1: The models needs interaction and non-linearity  Since my models added interaction, non-linearity already and the p-value shows H0 should be rejected, so I came to the conclusion that my model needs interaction, non-linearity indeed. Hope my interpretation is correct and thanks for any advise in advance, thanks. "There are no comments" vs. "There is no comment" Is it possible to show our custom message in QGIS Status bar using python? Tools to measure the nonrandomness of database I was working on historical data looking for anomalous patterns that we would not expect to occur at random. I'd like to create a scheme to analyze data and markets to test for statistical significance and consistency over time.  Question : Are there some tools we could use to evaluate the nonrandomness of a database? What do we use usually to say that something is random or not (statistically)? Figure we work with change in some value over time. For as long as I can remember I have avoided using switch statement fall-through. Actually, I can't remember it ever entering my consciousness as a possible way to do things as it was drilled into my head early on that it was nothing more than a bug in the switch statement. However, today I ran across some code that uses it by design, which got me immediately wondering what everyone in the community thinks about switch statement fall-through. Is it something that a programming language should explicitly not allow (like C# does, though it supplies a workaround) or is it a feature of any language that is powerful enough to leave in the programmer's hands? Edit: I wasn't specific enough to what I meant by fall-through. I use this type a lot:     switch(m_loadAnimSubCt){         case 0:         case 1:             // Do something             break;         case 2:         case 3:         case 4:             // Do something             break;    }  However, I'm concerned about something like this.    switch(m_loadAnimSubCt){         case 0:         case 1:             // Do something, but fall through to the other cases             // after doing it.          case 2:         case 3:         case 4:             // Do something else.             break;    }  This way whenever the case is 0, 1 it will do everything in the switch statement. I've seen this by design and I just don't know if I agree that switch statements should be used this way. I think the first code example is very useful and safe. The second seems kind of dangerous. Find the image of (1,1,1) by T Prove that any two consecutive terms of the Fibonacci sequence are relatively prime Prove that any two consecutive terms of the Fibonacci sequence are relatively prime.   My attempt:    We have $f_1 = 1, f_2 = 1, f_3 = 2, \dots$, so obviously $\gcd(f_1, f_2) = 1$. Suppose that $\gcd(f_n, f_{n+1}) = 1$; we will show that $\gcd(f_{n+1}, f_{n+2}) = 1$. Consider $\gcd(f_{n+1}, f_{n+2}) = \gcd(f_{n+1}, f_{n+1} + f_n)$ because $f_{n+2} = f_{n+1} + f_n.$ Then $\gcd(f_{n+1}, f_{n+1} + f_n) = \gcd(f_{n+1}, f_{n}) = 1$ (gcd property).  Hence, $\gcd(f_n, f_{n+1}) = 1$ for all $n &gt; 0$.  Am I on the right track? Any feedback would be greatly appreciated.  Thanks, Indefinite articles used with plural nouns: It was AN amazing TWO DAYS How to determine an object's class? If class B and class C extend class A and I have an object of type B or C, how can I determine of which type it is an instance?