### Makoto’s Bento Box

Anime: Sailor Moon RAppearance: Episode 55: Is Seijuro the Moonlight Knight? Mako-chan Falls in LoveTime: took me all afternoon to make everything except the macaroni which requires overnight.Serving: at least 5 people maybe moreSo I am going to the Brooklyn Botanical Gardens Cherry Blossom festival! Now they usually have a no food policy but at least my experience in the past they’ve been lenient so I decided today would be a great day for a bento box!! I’ve wanted to try Makoto’s bento for like as long as I can remember! As a little girl I loved all the food Sailor Jupiter could make. So I hope you all enjoy the many recipes and make your own bento boxes.

Source:

love it!!

Made the Mystery Croquettes from Kill la Kill to celebrate watching the newest released episode of the show!

Thank you so much to realanimefood for the amazing recipe! It worked like a charm and was quite delicious!!Ahhhh they look delicious!!

Makoto!!!

Via Real Anime Food

SAILOR MOON CRYSTAL -> MANGA PARALLELSScan from MissDream

AWESOME!!

Comparison

(Source: xospookymars)

Taylor Series ApproximationsA Taylor series is a way to represent a function in terms of polynomials. Since polynomials are usually much easier to work with than complicated functions, Taylor series have numerous applications in both math and physics.

There are many equations in physics — like the one describing the motion of a pendulum — that are

impossibleto solve in terms of elementary functions. “Approximations using the first few terms of a Taylor series can make [these] otherwise unsolvable problems” solvable for a restricted area of interest [1].The GIF above shows the five-term Taylor series approximation of a sine wave about

x=0.Mathematica code:

f[x_] := Sin[x] ts[x_, a_, nmax_] := Sum[(Derivative[n][f][a]/n!)*(x - a)^n, {n, 0, nmax}] Manipulate[Plot[{f[x], ts[x, 0, nmax]}, {x, -2*Pi, 2*Pi}, PlotRange -> {-1.45, 1.45}, PlotStyle -> {{Thick, Cyan}, {Thick, Dotted, Yellow}}, AxesStyle -> LightGray, Background -> Darker[Gray, 0.8]], {nmax, 1, 30, 1}]

Ferrofluids—colloidal suspensions made up of ferromagnetic nanoparticles and a carrier liquid—are known for their interesting and sometimes bizarre behaviors due to magnetic fields. The video above shows how, when subjected to an increasing magnetic field, a single droplet of a ferrofluid on a superhydrophobic surface will split into several droplets. The process is called static self-assembly, and it results from the ferrofluid seeking a minimum energy state relative to the force supplied by the magnetic field. Change the magnetic field and the droplets shift to the next energy minimum. But what happens when you change the magnetic field continuously and too quickly for the droplets to respond? A whole different set of structures and behaviors are observed (video link). This is

dynamicself-assembly, a different ordered state only achieved when the ferrofluid is forceably kept away from the energy minima seen in the first video. For more, see the additional videos and the original paper. (Video credit: J. Timonen et al.; via io9)

Via Fuck Yeah Fluid Dynamics

Real life visualization of a magnetic field.