barik
So the situation is not as dire as it appears.
I thought about adding it, but BrokerageLink requires a minimum balance transfer. By then, I figure that people will find out about invclub if they want to pursue more custom strategies.
I also added the note about the fresh Windows 10 Enterprise install. Ultimately, it's a wash. The group policy will apply one way or another.
The Website for TypeScript
Brain.fm does "work" in that it definitely has helped me focus, but I think one could craft a Spotify playlist manually with some effort in order to achieve a similar effect.
I've actually wondered about this, ever since finding inconsistencies in the psychology literature about this subject, particularly those which echo my own experiences.
For example, Ordóñez and colleagues' 2009 paper, "Goals Gone Wild: The Systematic Side Effects of Overprescribing Goal Setting", identifies some of the negative effects: "narrow focus that neglects nongoal areas, distorted risk preferences, a rise in unethical behavior, inhibited learning, corrosion of organizational culture, and reduced intrinsic motivation."
Other work related (Sivers, McGonigal, etc.) to this effect has also argued that announcing your goals make you less motivated to accomplish them. There's yet other work, by Brown (in the book Daring Greatly) that shows that for certain personalities, these types of environments have a very opposite effect to enhancing motivation: instead, they generate anxiety, guilt, embarrassment, humiliation, and even shame.
I'm not doubting your experience, but my experience is more aligned with the items I've just mentioned. So it'd be interesting to try to tease out why some people experience the benefits you outlined, while others don't, even within the same scrum team. At one point, I conducted an informal study within our own team on scrum experiences and the results are completely bimodal. It's perplexing.
Condition 1: If you are actually as brilliant as Donald Knuth, and independently derive the Floyd's cycle-detection algorithm, then obviously you must have cheated, because only Donald Knuth could have come up with that sort of thing in 20 minutes.
Condition 2: If, on the other hand, you aren't brilliant like Donald Knuth, you'll probably come with the naive solution using a visited data structure of some sort, in which case you're stupid because you can't come up with the optimal algorithm.
In either case, you bombed with that interviewer.
Condition 3: Cheat. Do the naive algorithm first, then have an "ah-ha" moment that magically gives you the optimal algorithm, because you actually knew it before hand. I suspect, but can't prove, that some hires get in this way. During my time as a PhD researcher studying deception under a related NSA grant, I routinely found that a) people are horrible at lie detection, and b) people greatly overestimate their ability to detect lies.* The perfect way to game the system!
Alternatively:
Condition 4: Inform the interviewer that you're aware of the cycle detection algorithm, and get another brain teaser that reduces you to Condition 1 or Condition 2 (and if less than ethical, Condition 3). Oops.
Ideally, you want interview questions from which you can start at Condition 1, and without deus ex machina, eventually get to Condition 2, perhaps having the interviewer give some hints along the way. Better is to start with a problem that has a reasonable Condition 1 solution, and then slowly modify the problem specification for increasingly complexity ("Now pretend this is an arbitrary graph instead of a tree, what would you have to change?").
Finally, Google maintains a list of banned questions which have such brain teasers (technically, they have an entire question pool), but unfortunately, interviewers don't seem to check them frequently enough and so brain teasers continue to persist (even in 2015).
* If you're fascinated by lie detection, start with scholarly publications from Aldert Vrij, and work from there.
Rizos E. C., Ntzani E. E., Bika E., Kostapanos M. S., Elisaf M. S. (2012). Association between omega-3 fatty acid supplementation and risk of major cardiovascular disease events. JAMA 308, 1024–1033 10.1001/2012.jama.11374
The article can be read for free here: http://jama.jamanetwork.com/article.aspx?articleid=1357266
The reason for using .006 is stated in the article:
"Within each assessed outcome, we adopted a level of statistical significance adjusted for multiple comparisons testing by a factor of 8 equaling the number of overall and subgroup analyses performed using the 2 measures of effect (RR and RD); thus, statistical significance was assumed at a P value threshold of .0063."
P-value adjustments are fairly common [1], but I'm not smart enough to say if it was applicable in this case.
Also, in the interest of full disclosure, it might be worth mentioning that Bill Harris is the President of OmegaQuant Analytics [2], whose stated purpose is to "advanc[e] the science and use of omega-3 fatty acids to improve health."
[1] http://stat.ethz.ch/R-manual/R-patched/library/stats/html/p....
[2] http://www.omegaquant.com/. He also seems to have a pre-canned response, which he pastes as comments to various sites. The pre-canned response is here: http://www.omega-3centre.com/images/stories/pdfs/harris_jama...
One thing I haven't quite figured out with ggplot2 is how to keep the text size constant in publications across figures. If you look at professionally typeset books, you'll see that the figure text (say the labels in a chart) is the same as the text of the article itself. Even this article suffers from the problem (but obviously, that's because the text is in a PNG so it can't scale with the article text).
The only workaround I have is to manually set the width of the figure before exporting, but this is fairly inflexible. Perhaps tikz output is another option, but my understanding (possibly incorrect) is that it isn't maintained anymore.
Can anyone recommend a good workflow for charts in R and ggplot2 to handle this situation?
We could argue that people shouldn't make posts like these, but in doing so, we ignore our own humanity. We're not robots. Humor is an essential cognitive mechanism for building neural structures so that we can understand the world around us. It helps us to recognize and make sense of subjects that otherwise would be too emotionally difficult to face head-on. This is part of the reason I think that faux news shows like the Colbert Report have been so successful. By denying this sort of expression, we are essentially denying an important cognitive tool for understanding.
> People are searching for products on Amazon, rather than using Google.
My own habits suggest that I have a "looking for something to buy mode" and "looking for information mode". When I want to buy something, I go straight to Amazon (and sometimes New Egg). When I want to look for information, I use Google. These two modes don't seem to intersect very frequently, if at all.
A Look at Characters with Disabilities in Video Games
If the problem is as widespread as the article seems to imply, then I think the industry should be more proactive and formally implement measures (such as allowing third-party but sanctioned "undercover" inspectors) to identify and address these abuses.
But the cynic in me already suspects why the industry would never go for something like this voluntarily.
http://i.imgur.com/jsx1feJ.png
It's a big difference, and these different experiences with Google could just be a matter of which keywords people tend to use (e.g., very general vs. very targeted searches) and what extensions they chose to install in their browser.
For purposes of a trademark, actually, yes. From Apple's own site [1], "Trademarks are adjectives, and should not be made into verbs or made plural or possessive." In addition, Apple specifies a list of suggested generic terms for each trademark. Under Guidelines for Using Apple Trademarks and Copyrights, some concrete examples are given [2]: "Correct: I bought two Macintosh computers." but "Not Correct: I bought two Macintoshes."
[1] https://www.apple.com/legal/intellectual-property/trademark/...
[2] https://www.apple.com/legal/intellectual-property/guidelines...
[1] http://flymake.sourceforge.net/
[2] http://ergoemacs.org/emacs/emacs_spell_checker_problems.html
R1 (N) R2
[VDD]-^^^^--*--^^^^----|
Given VDD, R1, and R2, compute the voltage at node N.This works surprisingly well as a negative hiring filter. It's not intended to be a trick question at all: it can be solved with Ohm's Law:
I = VDD / (R1 + R2)
Vn = VDD - R1 * I
or faster and more intuitively using voltage dividers: Vn = VDD * R2 / (R1 + R2).
What's disappointing is that a large number of senior undergraduate students are unable to solve this problem -- which I think makes it a good EE equivalent of the FizzBuzz problem.The Best Paper Award is typically some combination of a decision by the Program Committee, aggregated votes by attendees of the conference, and input from the paper reviewers who originally peer-reviewed the work.
There isn't a single metric for the award, and it can be quite subjective: sometimes it is an innovate topic, sometimes it is simply an interesting perspective, sometimes it is a well-executed presentation (even if the research itself wasn't all that interesting), sometimes it is because the authors used a difficult-to-acquire or real-world data set (internal Google or Microsoft data, game data directly from Blizzard), sometimes it is because of a challenging participant base (for example, interviewing minorities in elementary schools or a longitudinal study tracking participants over a decade), and sometimes it is simply excellent experimental design and statistical analysis.
I think it's a fair trade off to have to make if you're considering industrial research. I'd also note that academia isn't much different -- most of those releases also start with something like "MIT researchers..."