MuMuMuMuMu

I'm a data scientist with some time off. I thought it would be fun to make a predictive model for character deaths in HxH based on quantitative data such as the number and succession of panels/volumes a character appears in, as well as the panel/volume in which the character first appeared and whether/when the character died. Is there such a thing? Doing a quick search turned up nothing on my end, but I thought you guys would know.

​

I'll gladly share whatever I come up with, but it will ultimately depend on the data I have on hand (the more the better). If the model is decent (or at least entertaining) I'll make an interactive online version that you can query at will.

&#x

Hello everyone,

I have an intel NUC DC5327HYE and would like upgrade it so that I Skype, i.e., add a webcam, mic and a headset. Sadly, I am not very knowlegable about hardware (especially audio/video) and my search on the web left me more confused than before.

Specifications of the NUC and my setup:

• NUC 53427HYE running Ubuntu 14.04 LTS
• Dual Mini-DisplayPort* 1.1a ports
• HDMI port supporting 1.4a
• High Definition Audio 2 subsystem in the following configuration: 8-channel (7.1) digital audio via HDMI 1.4a output and via one DisplayPort 1.1a connector
• 1x USB 3.0
• 2x USB 2.0

I have never connected audio devices to this machine before, so I have no idea how one would go about this

Dear r/Scholar,

I'm looking for a full copy of "Subcategorisation, not uncertainty, drives the modification effect" by Gagné and Spalding (2014). Sadly, I do not have access to the full PDF provided by Taylor & Francis and can't find it anywhere else. Thanks a lot in advance!

Here's the link: http://www.tandfonline.com.sci-hub.org/doi/abs/10.1080/23273798.2014.911924#.U6fqgf4486I

Dear Mandarin speakers,

I'm collecting preliminary data for my research. Currently, I'm taking a very informal first stab at the data, so I just need a couple of data points to see if what I'm looking for is there in the first place. More concretely, I would ask you to translate the following sentences to Mandarin (transliterated, or both hanzi and transliterated):

(1) I burned the book.

(2) I memorized the book.

(3) I like the book.

(4) I memorized and burned the book.

If more than one classifier (e.g. both "ge" and "zhang") is possible in one of the sentences, please be so kind and add both alternatives. Thank you very much in advance!

Dear Mandarin speakers,

I'm collecting preliminary data for my research. Currently, I'm taking a very informal first stab at the data, so I just need a couple of data points to see if what I'm looking for is there in the first place. More concretely, I would ask you to translate the following sentences to Mandarin (transliterated, or both hanzi and transliterated):

(1) I burned the book.

(2) I memorized the book.

(3) I like the book.

(4) I memorized and burned the book.

If more than one classifier (e.g. both "ge" and "zhang") is possible in one of the sentences, please be so kind and add both alternatives. Thank you very much in advance!

Dear r/learnmath,

I'm looking for good (ideally free) resources to learn Bayesian statistics. I'm especially interested in book recommendations or video lectures for someone with a fairly weak background in statistics and probability theory without dumbing down the details -- just something a bit more explanatory than theorems after theorems with a few proofs in between.

Thanks a lot in advance. Any help is greatly appreciated.

Dear friends,

I'm looking for the name of a poem (or the poem itself) by Ilya Selvinsky. I came across a reference to this poem in a book, where it is characterized as describing that: "[...] every act of his lover — every single one of the mundane verbs that described her actions — was graced, when in the past tense, by a feminine ending (often the syllables or bisyllables “la”, “ala”, or “yala”). The poet describes various completely ordinary actions on her part (walking, eating, etc.), and then expresses wonderment at his own feeling of disorientation, since he, being a male, has never once performed a single one of these “uniquely feminine” acts, nor experienced a single one of these “u

Hi r/learnmath!

I have some rather extensive gaps in my math education, which I'm working on closing. Could you explain to me how we get from the left hand side of the equivalence to the right hand side? (ideally step by step and/or by telling me the concepts I am missing for me to look them up, though any comment helps). Thanks in advance for your time and effort. I really appreciate it.

a(1-q) +bq = (b - c)q + a

Context for the curious: Game theoretical pay-off for a 2x2 zero-sum game to calculate a pure counterstrategy.

Dear AskAcademia,

I am currently finishing my M.A. thesis and have spotted a good PhD position for which I am considering to apply [Context: The position is in the Netherlands and tied to a bigger research project. The discipline is linguistics/philosophy/CS]. However, I do not have that much time at my disposition as I am still working on the last steps of my thesis. My questions are:

1. How specific is a PhD research proposal supposed to be? Am I expected to deeply familiarize myself with the topic, or should I just give some general pointers on the direction that my research may take?

2. How faithful, in your experience, would I have to be to my proposal after being accepted? In other

I need to draw a few lattice structures (basically nodes interconnected with lines) in LaTeX and am wondering how I should go about it (ideally with the option of labeling the nodes).

I've never used TikZ (or similar packages), so I'm not sure if that's the way to go, or if there is some simpler/better option I'm not aware of.

I'd really appreciate some hints, tutorials, packages, code snippets and/or documentations to get me started. Thanks in advance!

• Title: The Metaphysics of Natural Language(s)
• Authors: Bach & Chao
• In: Philosophy of Linguistics (2012), pp. 175–196 [Elsevier]
• Link: http://www.sciencedirect.com/science/article/pii/B9780444517470500068

Thank you VERY much in advance!

Dear AcademicPsychology redditors,

I'm a linguist searching for relevant (if there are some and, obviously, even better if they are not too old) publications about causation (language independent).

What I'm looking for may be something these lines:

• How do we process causation (CAUSE and EFFECT) ?
• Is the our understanding of causation an inherent cognitive ability/process?
• Is it universal?

I'm actually interested in any psychological/neurological studies dealing with these or similar questions to try to link 'causation in language' with 'understanding of causation as a cognitive, language independent, process'.

Thanks a lot in advance for your time and suggestions.

PS: I hope

Dear LearnMath,

I'm currently working on a proof and ran into a (as far as I can see) simplification problem involving factorials. I'd be very grateful for any help on pointing out if there is a mistake in my reasoning and/or how to solve the simplification. Thanks a lot in advance!

About formatting: since the LaTeX-plug-in does not work for my browser I will be writing the binominal coefficients as (n;k). I hope it is still readable.

The problem:

n is a natural number and k a whole number with 0 < k < n. Prove:

(n+1;k+1) = (n;k+1) + (n;k)

With the help of the formula:

(n;k) = n! / k!(n-k)!

This is my attempt:

Here i just replaced n and k by n+1 and k+1

I have major gaps in my math education and trying to work through some material on my own. The topic is 'mathematical induction', which I surely do understand, but I'm having trouble understanding the simplification from the step before to the last step (see bellow).

I'm trying to understand the proof by induction for: 1 + 2 + 3 ... + n = (n(n+1))/2

which is:

S(n+1) = S(n) + (n+1) = (n(n+1) /2) + (n + 1) = ((n+1)(n+2)/2) 

My problem basically is how to get the "n + 1" into "(n (n+1)/2" (second step to the last one). Or simply put: How to get to the last step from the step before. I tried to multiply "n+1" with 1/2 to have a common denominator, thus yielding:

(n(n+1)/2)