"All my posts" unavailable? There is only "top posts". An option as basic as this should be there from the beginning. Or maybe I'm missing something?
I want to see all my Questions and Answers in a particular SE site -  - profile page through Stack Exchange Android App. How can I see that? When I tried to see that I found only Top Posts(5) and Top Tags.
These should work by adding spaces or removing spaces from the beginning of the current line or every line between the start and end of a text selection (inclusive).  (edited this question to supplement ) Biblatex - capital names in references, regular in cites I am trying to achieve a biblatex style that would do the following:  in the case of \parencite{} I would get ...like that (Smith 2010).   in the case of \textcite{} I would get Smith (2010) says that...  but in References I would get SMITH, J. Bookname.  How can I achieve this?  I use \usepackage[style=authoryear, firstinits=true]{biblatex}  I tried \renewcommand*{\mkbibnamelast}[1]{\MakeUppercase{#1}} but that makes the name uppercase even in the text, which is undesirable especially with \textcite{} Automatic line breaking of long lines of text? Using induction, how can I show the following identity about the fibonacci numbers? I'm having trouble with simplification when doing the induction step.  Identity: $$f_n^2 + f_{n+1}^2 = f_{2n+1}$$  I get to:  $$f_{n+1}^2 + f_{n+2}^2$$  Should I replace $f_{n+2}$ using the recursion? When I do that, I end up with the product of terms, and that just doesn't seem right. Any guidance on how to get manipulate during the induction step?  Thanks! Isomorphisms preserving integral domains and fields Let $R \simeq S$ be isomorphic commutative rings with unity. Prove the following:  a). If $R$ is an integral domain then $S$ is an integral domain.  For this, I said that If I let $f: R \to S$ be an isomorphism and $(R, + , \circ), (S, \oplus, \ast)$, then let $x, y\in R$,  such that $x \circ y = 0_R$, because $f$ is an isomorphism, $f(x \circ y) = f(x) \ast f(y) = f(0_R)$. If I let $R$ be an integral domain then, as per the definition $R$ is commutative, has unity, and no zero divisors.   So $f(x \circ y) = f(x) \ast f(y) = f(0_R)$ where we have either $f(x \circ y) = f(0_R) \ast f(y) = f(0_R)$ or $f(x \circ y) = f(x) \ast f(0_R) = f(0_R)$.   Since $f$ is an isomomorphism, let $s = f(x), t = f(y)| s,t \in S$. Then $s \ast t = f(0_R)$. By definition, $S$ also has unity so $0_S$ exists. If we map $0_R \to 0_S$. Then either $s = 0_S$ or $t = 0_S$.   So then, since $S$ has unity, is commutative, and has a no zero divisors as we showed above, it is also an Integral domain.  I'm not sure I have this correctly.  b). If $R$ is a field then $S$ is a field. I don't really understand how to do this one. Since $S$ is an integral domain, it has a $0_S$. So I need to show that $S$ distributes $\ast$ over $\oplus$.  Any help with these is appreciated Chrome phishing warning on main If I put a DX lens on a Nikon D700, it will reduce megapixels to 5.1.  I understand that FX pixels are about 2.5 times larger than DX pixels. Would I be correct to assume that, therefore, my FX image using 5.1 megapixels will produce quality equivalent to at least a 10 megapixel image on a DX camera, all other things being equal? When should I use # and = in ASP.NET controls? I have been using ASP.NET for years, but I can never remember when using the # and = are appropriate.  For example:  &lt;%= Grid.ClientID %&gt;   or  &lt;%# Eval("FullName")%&gt;   Can someone explain when each should be used so I can keep it straight in my mind? Is # only used in controls that support databinding? From a link from the question  to the HP Wikia, I started mulling over something I read about Voldemort and the "regeneration" potion (not a canon potion, but I'll use it for lack of a better way of describing it. . .) and would really like to know:  How did Voldemort drink the regeneration potion to turn his body into the grotesque childlike form we see in Goblet of Fire while he was still in a "mangled spectral state"?  Spectres (i.e. spirits or ghosts) are non-corporeal; they obviously can't consume food or drink liquids. So, how did Voldemort overcome this difficulty and manage to drink the regeneration potion? How to import Ordnance Survery raster layer to ArcGIS Desktop? I have downloaded raster map data from ONS, the data has come in the form of two files... one is full of  .tlw files and the other is full of .tab files...   How do I import it into a raster layer to ArcCatalog? Intuitive explanation of the bias-variance tradeoff? I am looking for an intuitive explanation of the bias-variance tradeoff, both in general and specifically in the context of linear regression. I'm very new to Blender and I'm trying to make a water vortex like this.(may be not the easyest first project for a newbie)     I watched several tutorial on liquids particle etc but I'm not sure what is the best aproach. What I tried  until now:   I made a particle system with a vortex force field. It looks good, but I'm not able to add the right material.      I played around with the fluid physics, the water looks good but if I add a vortex force field it does nothing.   I would be very grateful if somebody could point me in the right direction because I'm definitely stocked. Quieting down a Dell PowerEdge r710 I run a Dell PowerEdge r710 server out of my house and I'm moving in with roommates in a couple weeks. Unfortunately I don't think they'll appreciate the ~70dBA it generates and I'm looking for ways to make it quieter.  I looked into replacing the fans with something less noisy, but unfortunately none of the quieter options move nearly enough air. The best one I found has been the , but at less than half the CFM (30.3 vs 67.85 on the stock  fans) it doesn't seem powerful enough.  I've also thought about putting  around the server to quiet it down, but acoustic panels also have the downside of acting like insulation, so heat could turn into an issue. Every element of a group has order $2$. Why, intuitively, is it abelian? Infinite Series $1+\frac12-\frac23+\frac14+\frac15-\frac26+\cdots$ Was given the following infinite sum in class as a question, while we were talking about Taylor series expansions of $\ln(1+x)$ and $\arctan(x)$: $$1+\frac12-\frac23+\frac14+\frac15-\frac26+\cdots$$  The question isn't homework or anything, just a thought tease. I tried for a long while but couldn't find anything remotely close. Thanks in advance for the help. JAXB Java generating XML, Why lowercase? How much marmelade can I bring into the US? I want to bring homemade berry marmelade in little glass jars with me to the US from Europe as gifts for friends. I have found the following site on importing foods into the US  and would assume that marmelade falls under the condiments category, which should be admissible. However, I am wondering however if there is any limit to how much one is allowed to bring. Will there be any issues if, say, I bring 3 kilograms (6 lbs 10 oz)?   Also on related note, would they be suspiscious when they see many glass jars in my bag? Do I risk getting my bag searched or getting asked what the jars are? Is there anything I can do to avoid any such trouble? How to select the rows with maximum values in each group with dplyr? Square roots not on same height This part C\frac{1}{\sqrt{G}}\sqrt{\rho} doesn't seem to be on the same height as this part \sqrt{b}\sqrt{l} when compiled. What am I doing wrong?  \begin{flalign*} T=C\frac{1}{\sqrt{G}}\sqrt{\rho}\sqrt{b}\sqrt{l} &amp;&amp; \end{flalign*} Euler-Lagrange equation in curved spacetime: how to calculate $\partial \mathcal{L}/\partial(\nabla_\nu A_\mu)$? My problem is mostly with notation. When we apply the Euler-Lagrange equation to the Lagrangian scalar $$\mathcal{L}= -\frac{1}{4}F^{\mu\nu}F_{\mu\nu}$$ Where $$F_{\mu\nu} = \partial_\mu A_\nu -\partial_\nu A_\mu= \nabla_\mu A_\nu -\nabla_\nu A_\mu$$ and I start with $$\frac{\partial\mathcal{L}}{\partial A_\mu}=\nabla_\nu\left(\frac{\partial \mathcal{L}}{\partial(\nabla_\nu A_\mu)}\right).$$   Now I rewrite the lagrangian as $\mathcal{L} = -\frac{1}{4}g^{\mu\alpha}g^{ \nu\beta}(\nabla_\mu A_\nu-\nabla_\nu A_\mu)(\nabla_\alpha A_\beta-\nabla_\beta A_\alpha)$ $$\mathcal{L}= -\frac{1}{4}g^{\mu\alpha}g^{\nu\beta}\left[(\nabla_\mu A_\nu)(\nabla_\alpha A_\beta)-(\nabla_\mu A_\nu)(\nabla_\beta A_\alpha)-(\nabla_\nu A_\mu)(\nabla_\alpha A_\beta)+(\nabla_\nu A_\mu)(\nabla_\beta A_\alpha) \right]$$ My problem is calculating $\frac{\partial \mathcal{L}}{\partial(\nabla_\nu A_\mu)}$, how are the rules of partial derivatives generalised to covariant ones? Also, is $\frac{\partial\mathcal{L}}{\partial A_\mu}=0$, is that correct ?