I think when the whole world is doing it one way and someone goes out of their way to do it another, it really begs the question: why? The only logical conclusions I can think of
A) it’s “cool” in the same way hot wheels police cars four year olds play with have POLICE as the license plate,
B) they want to make it harder to identify the cars by obscuring the default place to look,
C) it is cheaper and makes logistics easier, and they don’t care that they are obscuring identification and considering themselves above the law (because there’s no way they didn’t consider this, and the old police cruisers had proper license plates to boot so far as I can see).
> I think when the whole world is doing it one way and someone goes out of their way to do it another, it really begs the question: why? The only logical conclusions I can think of...
I think the actual answer is
D) The law judged civilian-style license plates to be unnecessarily redundant given other methods of official vehicle identification.
> (b) Provided the general appearance of the vehicle is unmistakable, the following vehicles are not required to register or display number plates:
> (1) vehicles owned by the federal government;
> (2) fire apparatuses, including fire-suppression support vehicles, owned or leased by the state or a political subdivision;
> (3) police patrols owned or leased by the state or a political subdivision; and
> (4) ambulances owned or leased by the state or a political subdivision.
Language like that has been present in Minnesota law since at least 1949, and the language in that version makes it clear their concern was making sure public vehicles had their ownership clearly marked.
> Sec. 2. Vehicles owned and used solely in the transaction of official business by representatives of foreign powers, by the federal government, the state, or any political subdivision thereof, or vehicles owned and used exclusively by educational institutions and used solely in the transportation of pupils to and from such institutions, shall be exempt from the provision of this chapter requiring payment of tax or registration fees, but all such vehicles except those owned by the federal government, municipal fire apparatus, police patrols and ambulances, the general appearance of which is unmistakable,shall be registered as herein required and display tax exempt number plates furnished by the registrar at cost. In the case of vehicles used in general police work the passenger vehicle classification license number plates shall be displayed and furnished by the registrar at cost; but the exemption herein provided shall not apply to any vehicles, except such vehicles used in general police work, unless the name of the state department or political subdivision owning such vehicle shall be plainly printed on both sides thereof in letters not less than 2 1/2 inches high, one inch wide and of a 3/8 inch stroke. Such printing shall be in a color giving a marked contrast with that of the part of the vehicle on which it is placed and shall be done with a good quality of paint that will endure throughout the term of registration. The printing must be on a part of the vehicle itself and not on a removable plate or placard of any kind and shall be kept clean and visible at all times. The owner of any such vehicle desiring to come under the foregoing exemption provisions shall first notify the chief of the state trunk highway patrol who shall provide suitable seals and cause the same to be affixed to any such vehicle.
thousand, million, billion, trillion, quadrillion. I'm not a fan of M and MM and MMM, it's much easier to use one letter that is different from the others.
I don't think the fact that there are multiple words that represent the same thing means that one is ambiguous. A "billion" is always 10^9, so it's not ambiguous, no?
It looks like the Long scale is falling into disuse in English speaking contexts from that article. I don't ever think I've ever seen the word "billion" in English refer to 1e+12 .
No, it's the other way around. A billion means one thing in english speaking countries and another in most of the rest of the world. For a frenchman, it's indeed ambiguous -- there, a billion (english) would be a milliard (french), whereas a billion (french) would be a trillion in english. I imagine that is the reason why it's not seen as an abbreviation, in contexts where you want to be accurate.
Definitely agree there is a lack of easily accessible information on coins. I started putting together https://www.orc.press though my sense is that it's overly technical for most users.
TLDR: The Ripple platform is intended for use by large financial institutions to facilitate the exchange of one asset for another (e.g. USD for EUR or gold buillon for XRP). XRP's primary use is as a bridge currency and it can facilitate conversions like USD -> XRP -> EUR or gold -> XRP -> JPY.
From the most popular MOOC of all times, "Learning How to Learn", there is this book:
https://barbaraoakley.com/books/a-mind-for-numbers/
Although the "numbers" in the title, the book is about any kind of learning.
Might not be exactly what you're looking for but I recommend two books: "Peak" by Eric Anderson and "Mastery" by Robert Greene. Both of these books are really about getting to the top of your field but are both directly centered around how we learn. Mastery takes more of a macro approach to becoming the best by providing lots of real world anecdotal stories (like that of Leonardo Divinci, and Paul Graham) Peak goes a little bit deeper on the science of how we learn if I remember correctly, but both are definitely worth a read.
Brain Rules by John Medina and Make it Stick by Peter Brown are pretty good, and not too tough going. In terms of the mechanics of memory, they're pretty good particularly.
I've been reading the book Becoming Fluent, and it seems like a great introduction to the field. It's about how cognitive psychology can help adults learn a new language.
However, from another angle, it's basically about using the idea of language learning to teach basic cognitive psychology.
(My phd was in human memory, and I can't stop thinking about ways this book could be used as part of a cool learning course).
It should be noted, however, that learning a language is very different from many other kinds of learning (understanding complex systems, learning history, etc.) in that it engages very different patterns in declarative and procedural memory and possibly involves some specialised networks. I know some very frustrated scholars of second language acquisition that lament the over-applying of the general science of human learning to specifics. (Just making a general point here; the book you are reading sounds like it's specifically about language indeed.)
I am probably in what they would consider the over-applying camp ;). When it comes down to it, I think there's a tendency in many different fields to cast within-field learning problems as distinct from others, but in general, researchers in those fields often don't have a ton of experience on learning in other domains.
RE networks, I agree that there is likely evidence for distinct patterns of activation in various neuroimaging studies, but having worked in memory + neuroimaging, I think there's a serious risk that people will take something like "statistically significant difference in brain activity" and use it as a substitute for "substantial differences in learning behavior / retention". (this is a well known problem in imaging).
I'm not too familiar to L2 acquisition research, though, but those are my impressions from thumbing through some of the field. Would def love to hear some study recommendations :).
I build tools for teaching data science at DataCamp, so am really interested in this question! I think so, and suspect the ways in which a good language tutor assesses / recognizes where students can improve will have direct parallels for coding.
Greg Wilson (who founded Software Carpentry) has a great collection of thoughts on learning to program in general: http://third-bit.com/
Learning at scale via MOOCs seems to be enormously effective. EdX alone issued 250K certificates for 2.5M registered users. Mostly in CS.
I'd be interested to see YC Startup Schools own results as well. Do at least 10% of Startup School 2017 grads go on to full time work on their companies?
Hey, Forward is looking for 5 freelancers at the moment and are in particular in need of a) rails engineers and b) react engineers.
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https://forward.id
and on the specific roles here:
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Feel free to reach out directly to zach@forward