How can I pass a text from my HTML file to my WPF textbox, I'm trying to make a program wherein I will get the text from my html file then that text will be transferred to a textbox in WPF
I have snippets of Html stored in a table. Not entire pages, no  tags or the like, just basic formatting.  I would like to be able to display that Html as text only, no formatting, on a given page (actually just the first 30 - 50 characters but that's the easy bit).  How do I place the "text" within that Html into a string as straight text?  So this piece of code.  &lt;b&gt;Hello World.&lt;/b&gt;&lt;br/&gt;&lt;p&gt;&lt;i&gt;Is there anyone out there?&lt;/i&gt;&lt;p&gt;   Becomes:  Hello World. Is there anyone out there?
Where is "Connect to Server" for ssh connections in Unity? Cannot find "connect to server" in 11.04, looks like unity doesn't have it. Is there other very similar way to connect to another Ubuntu computer via SSH? (not in terminal) Consider the  function     $$ r(x) = \mathbb{E}(Y \mid X = x) $$   This has been called the regression function in a textbook I'm using. I'm trying to figure out the relationship between this function and the classical linear regression model.  So, I know that it is a theorem* that we may write  $$ Y = r(X) + \epsilon $$  for some random variable $\epsilon$ s.t. $\mathbb{E}(\epsilon) = 0$.  Now suppose that we have     $$ Y = \beta_0 + \beta_1 X + \epsilon $$   This is the classical 1-dimensional regression function (assuming the $\beta_0$ and $\beta_1$ minimize the residual sum of squares).  Question: Is it then a mathematical theorem that if $Y$ is defined as above, that   $$ r(X) = \mathbb{E}(Y \mid X) = (\beta_0 + \beta_1 X)? $$  And is this why the function $\mathbb{E}(Y \mid X)$ is called the "regression function"?  EDIT: The theorem that I am making use of is as follows (from All of Statistics pg. 89):     Regression models are sometimes written as      $$ Y = r(X) + \epsilon $$      where $\mathbb{E}(\epsilon) = 0$. We can always rewrite a regression model this way. To see this, define $\epsilon = Y - r(X)$ and hence $Y = Y + r(X) - r(X) = r(X) + \epsilon$. Moreover, $\mathbb{E}(\epsilon) = \mathbb{E}\mathbb{E}(\epsilon \mid X) = \mathbb{E}(\mathbb{E}(Y - r(X)) \mid X) = \mathbb{E}(\mathbb{E} ( Y \mid X) - r(X)) = \mathbb{E}(r(X) - r(X)) = 0$. X and Y are not correlated, but X is significant predictor of Y in multiple regression. What does it mean? X and Y are not correlated (-.01); however, when I place X in a multiple regression predicting Y, alongside three (A, B, C) other (related) variables, X and two other variables (A, B) are significant predictors of Y. Note that the two other (A, B) variables are significantly correlated with Y outside of the regression.   How should I interpret these findings? X predicts unique variance in Y, but since these are not correlated (Pearson), it is somehow difficult to interpret.  I know of opposite cases (i.e., two variables are correlated but regression is not significant) and those are relatively simpler to understand from a theoretical and statistical perspective. Note that some of the predictors are quite correlated (e.g., .70) but not to the extent that I would expect substantial multicollinearity. Maybe I am mistaken, though.    NOTE: I asked this question previously and it was closed. The rational was that this question is redundant with the question "". Perhaps I do not understand the other question, but I believe these are entirely separate questions, both mathematically and theoretically. My question is entirely independent from if "a regression is significant". Furthermore, several predictors are significant, while the other question entails variables not being significant, so I don't see the overlap. If these questions are redundant for reasons I do not understand, please insert a comment prior to closing this question. Also, I was hoping to message the moderator who closed the other question to avoid identical questions, but I couldn't find an option to do so. The question is:     Show that there are an infinite number of pairs $(m,n): m, n \in \mathbb{Z}^{+}$, such that: $$\frac{m+1}{n}+\frac{n+1}{m} \in \mathbb{Z}^{+}$$   I started off approaching this problem by examining the fact that whenever the expression was a positive integer, the following must be true:  $$\frac{m+1}{n}+\frac{n+1}{m} - \left\lfloor\frac{m+1}{n}+\frac{n+1}{m}\right\rfloor = 0$$  However, I was unable to do much more with this expression, so I abandoned it and started the problem again from a different angle.  Next I re-arranged the expression to state that:  $$\frac{m^2+m+n^2+n}{mn} \in \mathbb{Z}^{+} \implies \frac{m(m+1) + n(n+1)}{mn} \in \mathbb{Z}^{+}$$  And therefore:  $$mn \mid (m(m+1) + n(n+1))$$  However, I'm unsure how to demonstrate there are infinitely many occurances of $(m, n)$ for which this is true. So I'd appreciate any help.   Thanks in advance I posted a question and a couple of respondents asked for the source code. I could only post portions of the code.  If attachments were allowed I could have uploaded a .zip file with the whole application.  Will this be a feature in SO? How small a quantity should be added to x to avoid taking the log of zero? I have analysed my data as they are. Now I want to look at my analyses after taking the log of all variables. Many variables contain many zeros. Therefore I add a small quantity to avoid taking the log of zero.   So far I've added 10^-10, without any rationale really, just because I felt like adding a very small quantity would be advisable to minimize the effect of my arbitrarily chosen quantity. But some variables contain mostly zeros, and therefore when logged mostly -23.02. The range of the ranges of my variables is 1.33-8819.21, and the frequency of zeroes also varies dramatically. Therefore my personal choice of "small quantity" affects the variables very differently. It is clear now that 10^-10 is a completely unacceptable choice, as most of the variance in all the variables then comes from this arbitrary "small quantity".  I wonder what would be a more correct way of doing this.  Maybe it's better to derive the quantity from each variables individual distribution? Are there any guidelines about how big this "small quantity" should be?  My analyses are mostly simple cox models with each variable and age/sex as IVs. The variables are the concentrations of various blood lipids, with often considerable coefficients of variation.  Edit: Adding the smallest non-zero value of the variable seems practical for my data. But maybe there is a general solution?  Edit 2: As the zeros merely indicate concentrations below the detection limit, maybe setting them to (detection limit)/2 would be appropriate? Arbitrary products of quasi-coherent sheaves? a) Determine the number of ways to colour a 1 by n grid using the colours red and white if an even number of squares are to be coloured red.   Note that n is greater than or equal to 1 and the number of red squares could be 0.  I know I must consider the cases of n being even and odd, and determine the sum, from zero to n of the squares being red, where the number of red squares is even. But I just want to make sure I haven’t missed any arrangements by saying a) is $2^{n-1}$ when n is even and $2^{n-1}-1$ when n is odd.  b) Determine the number of ways to colour the squares using red, white and blue if an even number of squares are to be coloured red.  For this case, I can have arrangements including red only, white only, blue only, white and blue only, red and white only, red and blue only, and finally all three colours.  Thank you for any help provided. What is a good set of naming conventions to use when developing on the Force.com platform? I've looked in the Apex developer's guide and a saw the   which has basically only has this:   We recommend following Java standards for naming, that is, classes start with a capital letter, methods start with a lowercase verb, and variable names should be meaningful.   I'm looking for something more in depth, such as end all Controllers with Controller and their tests with ControllerTest, etc.  What is a good set of naming conventions to use when developing on the Force.com platofrm?  It would be preferable if the answer has something that handles custom objects, classes, visualforce pages, and components and not just Apex classes. What does UNDEF and notype() mean when seeing the C++ library information using dumpbin? When I tried to connect my Ubuntu 13.10 to my VM Centos 6.5 using ssh appear the message "Connection refused" or "No route to host" even than I change the port, noting change.    I need to use SSH, VPN and Samba, but this IP in my VM Centos do not work.  How Can I resolve this problem? Why do rain waves form and what is their connection to the texture of the surface they're on? When it rains and water flows down an inclined street, ripples may form that are carried along with the current. Here's a picture with an example of what I'm talking about    I'd like to know what the fluid mechanical mechanism is for the formation of these waves. A quick google search reveals that they've been identified in some scientific literature as "rain waves" (if you have a jstor subscription you can see ) but I've only been able to find phenomenological descriptions of their properties without any details of the physics giving rise to them. In particular, I'm curious if people think that the surface on which the water is flowing must have a particular texture in order to give rise to the waves. du wrongly reports empty directory I'm using these commands:    du -sh --apparent-size ./* du -sh ./*   both reporting:    4.0K    ./Lightroom_catalog_from_win_backup 432M    ./Lightroom catalog - wine_backup   while those directories contain:    $ll ./"Lightroom catalog - wine_backup" total 432M -rwxrwx--- 1 gigi gigi 432M Mar 18  2018 Lightroom 5 Catalog Linux.lrcat -rwxrwx--- 1 gigi gigi  227 Nov 21  2015 zbackup.bat $ll ./Lightroom_catalog_from_win_backup total 396M -rwxrwx--- 3 gigi gigi 396M Dec 17 09:35 Lightroom 5 Catalog Linux.lrcat -rwxrwx--- 3 gigi gigi  227 Dec 17 09:35 zbackup.bat   Why du is reporting 4.0K for ./Lightroom_catalog_from_win_backup and how could I make it to report correctly?  PS: other system information:    $stat --file-system $HOME   File: "/home/gigi"     ID: 5b052c62a5a527bb Namelen: 255     Type: ext2/ext3 Block size: 4096       Fundamental block size: 4096 Blocks: Total: 720651086  Free: 155672577  Available: 119098665 Inodes: Total: 183050240  Free: 178896289  $lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description:    Ubuntu 16.04.5 LTS Release:        16.04 Codename:       xenial What are the best books to study Neural Networks from a purely mathematical perspective? I am looking for a book that goes through the mathematical aspects of neural networks, from simple forward passage of multilayer perceptron in matrix form or differentiation of activation functions, to back propagation in CNN or RNN (to mention some of the topics).  Do you know any book that goes in depth into this theory? I've had a look at a couple (such as Pattern Recognition and Machine Learning by Bishop or Deep Learning by Goodfellow, Bengio and Courville) but still have not found a rigorous one (with exercises would be a plus). Do you have any suggestions? Smoothing/interpolating across images in an ImageCollection to remove missing data I have some code that is working properly to calculate the monthly NDVI averages for the previous two years from a date but I sometimes have missing data in some of the months and I would like to get an average based on the mean of the previous two months. I suppose I could also interpolate from the closest geographic data point but it seems like it would be better to interpolate across time than distance given that sometimes the clouds cover reasonably large areas.   But I'm certainly open to other opinions, I just want to fill these holes as accurately as possible. Is there an efficient way to do this.  and here is the code itself:  // pick a landsat tile footprint to use as my geometry var wrs2_descending = ee.FeatureCollection('ft:1_RZgjlcqixp-L9hyS6NYGqLaKOlnhSC35AB5M5Ll'); // use a manually defined point to pick the WRS2 tile var wrs2_filtered = wrs2_descending.filterBounds(roi); var layer1 = ui.Map.Layer(wrs2_filtered, {}, 'WRS2 filtered'); Map.layers().set(1, layer1);  var imageCollection = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').filterBounds(wrs2_filtered); var monthCount = ee.List.sequence(0, 11);  // Function to cloud mask from the pixel_qa band of Landsat 8 SR data. function maskL8sr(image) {   // Bits 3 and 5 are cloud shadow and cloud, respectively.   var cloudShadowBitMask = 1 &lt;&lt; 3;   var cloudsBitMask = 1 &lt;&lt; 5;    // Get the pixel QA band.   var qa = image.select('pixel_qa');    // Both flags should be set to zero, indicating clear conditions.   var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)       .and(qa.bitwiseAnd(cloudsBitMask).eq(0));    // Return the masked image, scaled to reflectance, without the QA bands.   return image.updateMask(mask).divide(10000)       .select("B[0-9]*")       .copyProperties(image, ["system:time_start"]); }  // run through the image collection and generate monthly NDVI median images var composites = ee.ImageCollection.fromImages(monthCount.map(function(m) {   var startMonth = 1; // thinking that I should always start from Jan so the series are similar   var startYear = ee.Number(2017-1); // number is one year before the current one    var month = ee.Date.fromYMD(startYear, startMonth, 1).advance(m,'month').get('month');   var year = ee.Date.fromYMD(startYear, startMonth, 1).advance(m,'month').get('year')    // filter by year and then filter by month to get monthly mosaics   var filtered = imageCollection.filter(ee.Filter.calendarRange({     start: year.subtract(1), // we want an average of the last two years     end: year,     field: 'year'   })).filter(ee.Filter.calendarRange({     start: month,     field: 'month'   }));   // mask for clouds and then take the median   var composite = filtered.map(maskL8sr).median();   return composite.normalizedDifference(['B5', 'B4']).rename('NDVI')       .set('month', ee.Date.fromYMD(startYear, startMonth, 1).advance(m,'month')); })); print(composites);  Map.addLayer(composites, {min: 0, max: 1}, 'check');  // stack the ImageCollection into a multi-band raster for downloading var stackCollection = function(collection) {   // Create an initial image.   var first = ee.Image(collection.first()).select([]);    // Write a function that appends a band to an image.   var appendBands = function(image, previous) {     return ee.Image(previous).addBands(image);   };   return ee.Image(collection.iterate(appendBands, first)); }; var stacked = stackCollection(composites); print('stacked image', stacked);  // Display the first band of the stacked image. Map.addLayer(stacked.select(0).clip(wrs2_filtered), {min:0, max:1}, 'stacked'); Covariance of binary and continuous variable Suppose $y$ is a continuous random variable and $d$ is a binary random variable that takes the value $1$ with probability $p$ and $0$ with probability $1-p$.   How do I show that $\text{Cov}(y,d)=(E[y|d=1]-E[y|d=0])p(1-p)$? I messed up my system earlier, I was greeted with a black screen, when booting in to Ubuntu. When I started up my laptop, I selected the recovery option from the grub menu, and chose fallback at root terminal. I saw that I was able to use the add user command, with it, I probably could use to create a privileged user on my machine.   Isn't that a security issue?  One could have stolen my laptop and at startup chose recovery and add another user, I'm fudged then. Including my data.  Come to think of it, even if you somehow remove that entry, one could boot from a live-CD, get a chroot up and running and then add another user, with the right privileges that allows it to see all my data.   If I set the BIOS to boot at my HD only, no USB, CD/DVD, Network startup, and set a BIOS password, it still wouldn't matter, because you'd still have that grub recovery startup entry.  I am fairly certain that someone from China, Russia can't hack my Ubuntu Trusty Tahr, from the network, because it's secure like that. But, if one has physical access to my - your - machine, then, well, that's why I'm asking this question. How can I secure my machine so that hacking through physical access is not possible?    Bug Report: How to convert wstring into string? Say you have the infinitely continued fraction: $$x+\cfrac{1}{x^2+\cfrac{1}{x^3+\cfrac{1}{x^4+\ddots}}}$$ When $x=1$, you can see that it's $$1+\cfrac{1}{1+\cfrac{1}{1+\cfrac{1}{1+\ddots}}}$$ which converges upon the golden ratio $\phi = 1.61803398875...$. What if I were to plug in $x=2$? $$2+\cfrac{1}{4+\cfrac{1}{8+\cfrac{1}{16+\ddots}}}$$ Using a caluclator, it seems to converge upon the irrational number: $2.24248109286...$ Is there any way I can represent this irrational number algebraically? What are the fundamental differences between the mainstream *NIX shells? What are the fundamental differences between the mainstream *NIX shells and what scenarios might prompt you to use one over the other?  I understand that some of it probably comes down to user preference but I've only ever used Bash and I'm interested to hear where another shell might be useful. Also, is there an impact on user-written shell scripts when running under one shell or another or is it simply a matter of changing the shell at the top of the file?  My instinct says it's not that easy.