Disney's multiplane camera:
"Bolnick investigated his original work and, in a horrified instant, recognized his mistake: a single miswritten line of computer code. [...]
Why do I recount this story? Because I think society ought to give Bolnick some sort of a prize. We need moral examples of people who can admit when they’re wrong. We need more Heroes of Retraction."
I don't know about "Heroes of Retraction", but I do find the expressed sentiment inspiring.
Fascinating! Robert Boyle's mission objective list for "science" includes:
- "Art of Flying" [check]
- "practicable and certain way of finding Longitudes" [check]
- "Potent Druggs to alter or Exalt Imagination, Waking, Memory, and other functions, and appease pain, procure innocent sleep, harmless dreams" [getting there? kinda?]
- "Attaining Gigantick Dimensions" [what]
- "Varnishes perfumable by Rubbing" [WHAT]
A Norwegian University Student Used a Spy Camera in This Amazing Example of 19th Century Street Photography
"What Could Have Entered the Public Domain on January 1, 2018?
Under the law that existed until 1978 . . . Works from 1961"
I have a time series of numbers, sampled irregularly, typically between 1 and 6 samples a day. On a line graph, there's considerable jitter. If I want to smooth jitter and see trends on e.g. a 36-hour granularity level, but also not lose outliers in the smoothing, what's the best approach?
My idea: average samples in arbitrary 12-hour periods (am/pm), then apply a 36-hour moving average. But I don't know this stuff.
hello! I'm an applied maths M.Sc. student.
I have been Mastodon user for some time now (I'm semi-active at https://mathstodon.xyz/@aqsalose and https://bookwitty.social/@aqsalose ) but I'm still not sure if I've really grasped how Mastodon works ... after reading the Outline article https://theoutline.com/post/2689/mastodon-makes-the-internet-feel-like-home-again I wanted take a look at some other instances too.
Maths M.Sc. student!
Elsewhere in the fediverse:
mathstodon.xyz/@aqsalose (main account)
Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.