In the book Grammar Girl's Quick and Dirty Tips for Better Writing is says the word &quot;mom&quot; is a proper noun in the following context and should be capitalized: &quot;How's Mom these days&quot;. My question is: should the word &quot;mom&quot; be capitalized in the following sentence: &quot;She became a mom&quot;.
I am trying to understand capitalization rules with Mom and Dad. I believe I have it correct below, but please let me know if I do not.     The one thing I learned from my dad was that it was good to earn the trust of one's children. Dad has shown me how good that a dad can be. One day when I went to his house, and Dad wasn't there, I ran outside....   The above passage is just made-up just so that you would see what I mean about capitalization. Let's put numbers by each one, like so:     The one thing I learned from my dad(1) was that it was good to earn the trust of one's children. Dad(2) has shown me how good that a dad(3) can be. One day when I went to his house, and Dad(4) wasn't there, I ran outside....    This is one where I'm not certain. I believe in this sense I'm showing possession here with "my", and it just didn't seem right saying "my Dad". I don't know what the grammar rule is here, or if I even have it right. This one is obvious—it starts the sentence. In this case, I'm using Dad like a name instead of saying "Larry". Therefore, it should be capitalized. Again, just like 3.
My understanding is that a random variable is actually a function $X: \Omega \to T$, where $\Omega$ is the sample space of some random experiment and $T$ is the set from which the possible values of the random variable are taken.  Regarding the set of values that the random variable can actually take, it is the image of the function $X$. If the image is finite, then $X$ must be a discrete random variable. However, if it is an infinite set, then $X$ may or may not be a continuous random variable. Whether it is depends on whether the image is countable or not. If it is countable, then $X$ is a discrete random variable; whereas if it is not, then $X$ is  continuous.  Assuming that my understanding is correct, why does the fact that the image is uncountable imply that $Pr(X = x) = 0$.  I would have thought that the fact that the image is infinite, regardless of whether it is countable or not, would already imply that $Pr(X = x) = 0$ since if it is infinite, then the domain $\Omega$ must also be infinite, and therefore  $$Pr(X = x) = \frac{\text{# favorable outcomes}}{\text{# possible outcomes}} = \frac{\text{# outcomes of the experiment where X = x}}{|\Omega|} = \frac{\text{# outcomes of the experiment where X = x}}{\infty} = 0$$  What is wrong with my argument?  Why does the probability that a continuous random variable takes on a specific value actually equal zero? Can multiple render systems be used? I was watching a tutorial how to design an island in Blender, which worked really great, but i didn't want to use the .png Trees the guy used there. So i watched another tutorial and created another kind of tree - without knowing that the object isn't just modeled in Cycles Render, it is also rendered in there.  My problem is either the (lets say "simple" textured) island (rendered in Blender render) or the tree is shown. Is there any way i can "convert" that cycles object (with its shaders) to Blender Render or the other way around? Or just render with two renders in one project? I haven't found something about that til now. If there is no universal solution for that, i could also put a link to my project in here. Multiple Apple Developer Accounts Best option to export more than 15 millions records from Salesforce? We have a requirement to export around 15 millions records.   Which option will be better Salesforce DataLoader or Jitterbit Cloud DataLoader or any other better option available.  Can we export around 15 millions or more records in one go ! is it possible ? will CSV file able to handle that many record if exported in one go.  Also can we do this using Report API wherein we can create a report and fetch reports data using API, is it advisable considering volume of data?  Please advise the best option to go with, for exporting large volume of records from Salesforce. Menu select item stuck on screen after context or command menu has closed Periodically when I select a menu command, the label or selected option gets "stuck" on screen and won't go away. I can close all open applications, including whichever one I was using when it got stuck, but it still won't go away.   In the screenshot below, I opened an new instance of IE just to show how the label stays on top. The label was not created by this instance of IE.    (I added the circle in MS Paint. That part isn't stuck.)  The label that gets stuck is the first menu command I select in IE. If a label is already stuck, a new one does not get stuck (regardless of which instance(s) of IE are involved). Based on this knowledge, I now just open IE on my secondary monitor, carefully open the context menu so the Properties command is in the bottom corner, and click it. This is not a solution.  The floating label never moves and is transparent to mouse input (if I click it, it's as if I clicked the item behind it).  The label does not go away if I close all running applications. I haven't tried stopping services or closing system tray items like Live Mesh.  The label does go away if I change the screen resolution and then change it back.  Any ideas how I can stop this from happening? It's happened a half dozen times and it's becoming quite disrupting to my work. Is it poor form to switch accepted answers? I had a question of the form "does something like X exist?" Someone wrote a response to say that, No, X does not exist, but I could write it if I liked. I had suspected as much, so I marked his answer as the accepted answer. Today someone actually posted the code to do X for me, and I feel that the new poster deserves the "Accepted Answer" checkmark.  Is it poor form for me to pick a new Accepted answer? Does the original answerer get penalized in terms of reputation?  While the original responder's answer was accepted at the time, I feel this new answer is really more helpful.  Edit: Which of these responses should I accept? What does the notion of a single accepted answer mean with a question that is subjective that could have multiple "right" answers? I'd like to see the full How-To on how to use manual partitioning during Ubuntu installation. The existing guides (at least those I found here) cover only automatic part and leave untouched the manual part (or extremely short and contain no pictures).  I'd like to cover such situations:     If your disk contains other systems: How does Intel Turbo Boost work? How to rename objects with python? I want to rename the number 1->picture (32) with python not the number 2->picture with the (3745), can someone help me with that ? A famous exercise which one encounters while doing Complex Analysis (Residue theory) is to prove that the given integral: $$\int\limits_0^\infty \frac{\sin x} x \,\mathrm  dx = \frac \pi 2$$ Well, can anyone prove this without using Residue theory?  I actually thought of using the series representation of $\sin x$: $$\int\limits_0^\infty \frac{\sin x} x \, dx = \lim\limits_{n \to \infty} \int\limits_0^n \frac{1}{t} \left( t - \frac{t^3}{3!} + \frac{t^5}{5!} + \cdots \right) \,\mathrm  dt$$ but I don't see how $\pi$ comes here, since we need the answer to be equal to $\dfrac{\pi}{2}$. prove or disprove: For a prime number p, there is a positive integer n such that $p+1 $= $n^2$ if and only if $ p = 3.$ Prove or disprove: For a prime number p, there is a positive integer n such that $p+1 $= $n^2$ if and only if $ p = 3.$  first im trying to proof if p is prime number there is positive integer n such that $p+1=n^2$ implies $p=3$  suppose there is positive n integer such that $p+1=n^2$ and prove that $p=3$. $p=n^2-1=(n+1)(n-1)$ since $p$ is prime $n-1=1$,$ n = 2 $ $p+1=4$ $p=3$ hence it is proved that $p=3$  now if $p=3$ implies there is positive integer n such that $p+1=n^2 $  $p=3$ and p is prime  $p+1=n^2$, $4=n^2$, $n2$ or $n=-2$ hence it is proved that there is positive integer $n$ such that $p+1=n^2 $  is my proof correct? and also for prime number can i write $n+1=1$ instead $n-1=1$? Brownian motion - Hölder continuity Let $B$ stand for a Brownian motion on a finite interval $[0,1]$. If I am not wrong, I think that there exists a positive constant $c$, such that almost surely, for $h$ small enough , for all $0&lt; t &lt; 1- h$  \begin{align} |B(t+h)-B(t)| &lt; c\sqrt{h\log(1/h)} \end{align} or something like this. As a result   \begin{align} \bigg|\frac{B(t+h)-B(t)}{h}\bigg| &lt; K(h)  \end{align}  Am I correct ? What circumstances can cause a question or answer to be deleted, and what does that actually mean?    How can a post be deleted? When can't I delete my own post? Can I still see my post even after it's deleted? Can I see a list of my deleted posts? How can I undelete one of my posts? What does deletion mean for a post? How do votes to delete work? What are the criteria for deletion? What else should I know about deleted posts? If I flag my question with a request to delete it, what will happen?       For more information, see the articles about  and  in the . If I took a picture of a windmill on the horizon — given that I know the sensor size and the focal length of the lens and other factors to do with the shot — could I calculate how far away an object is from the photographer? How to read and write into file using JavaScript? Can anybody give some sample code to read and write a file using JavaScript? Highly unbalanced test data set and balanced training data in classification I have a training set with about 3000 positive instances and 3000 negative instances. But my test data set is pretty much un-balanced. The positive set only has 50 instances and negative has 1500 instances.This causes the precision very low. Are there any approaches to solve this problem? I use SVM to build classifier. crisscross, dillydally, riffraff, etc What is the reason the log transformation is used with right-skewed distributions? I once heard that      log transformation is the most popular one for right-skewed distributions in linear regression or quantile regression   I would like to know is there any reason underlying this statement? Why is the log transformation suitable for a right-skewed distribution?   How about a left-skewed distribution? Finite groups with exactly one maximal subgroup PyQGIS toggle group visibility (and recursively subsub...group visibility) I would like to set visibility of a layer group and all of its children (and grand-children and so on...) using PyQGIS (QGIS 2.14.1).  Assume the groups name is g0 with subgroups g0[1...n] and subsub...groups g0[1...n][1...n][...].  QgsProject.instance().layerTreeRoot().findGroup('g0').setVisible(False)   sets the group and ALL what comes beneath invisible, so far so good:    But vice versa  QgsProject.instance().layerTreeRoot().findGroup('g0').setVisible(True)   sets the group visible and leaves all its children untouched, wich results in nothing visible at all:    QgsProject.instance().layerTreeRoot().findGroup('g0').updateChildVisibility()   only touches the direct children and not recursively all the descendants:    I wonder why manually setting the root groups (g0) visibility does result in recursively setting the visibility of all beneath it at all.  Question: Do I have to implement some recursive function to set the visibility of a group and its whole big family, or is there a more convenient way to accomplish this? Or is here something buggy?