If you could keep a brain in a living state, free from any sort of accumulated cellular damage that scientists suspect causes aging, would that brain live forever? Pic unrelated.
Is there a way I can look up how common certain side effects are for medications and how likely they are to pop up under certain conditions?
I'm having a medical crisis that's either a medication side effect or a permanently crippling condition and I just want to know if I'm being irrational
142857
looks nice
WE CALL IT THE REMAINDER THATS THE NUMBER THAT REMAINS!!!
I'm an absolute brainlet. I really am, but hopefully that changes somehow. My discipline levels are abysmal.
This has been a public service announcement.
Alright /sci/ what would happen to this car, or any car, left for eternity? What would it decompose into in the end?
Obviously any components made of iron rust into Fe2O3, but what would happen in 10,000 years to the powdered iron oxide? Would it be compacted and return to ore, or blow away and become particulates in the soil?
Would a junkyard be the iron ore vein of the future?
What about plastic components? Would you be able to walk through the woods and find a reddish patch of dirt with a bunch of plastic shit strewn about? How long would the glass survive? The tires?
Can anyone on here help me with a proof?
Anyone know about asymptotic notation?
Stupid questions thread:
Post your ridiculous questions here.
>>9133498
a is trivial
b is trivial by contradiction
c looks easy
d is easy trial and error
I've heard that as an object accelerates to the speed of light, it gains mass from increasing kinetic energy. To accelerate it to 100% of the of light, it would take infinite energy. So would the object then have infinite mass? If so, would it then collapse into a black hole that would have an ever expanding event horizon due to its infinite mass?
>>9133519
It never gets to 100% due to the energy requirement, you said it yourself.
Study about the topics you like vs studying the topics from class, should one focus on learning or getting good grades? I know both are important but which one should you pay more attention to?
Hey there /sci/, join our nice and comfi server. We have a channel dedicated to scientific and civil discussion.
https://discord.gg/mMSgUf
Official best companion coming through
Why do we study the Ginzburg-Landau dynamics?
Don't ban me yet, I need to know... It's for my PhD thesis... (I am writing it).
No physishits edition.
What are you studying, /mg/?
physics
>>9130740
Please use the physics thread to discuss physics. This is a math thread.
The relevant thread is attached below.
>>9130690
Let's see you do this introductory excercise in algebraic topology. Undergrad 3rd semester.
Hello /sci/ I'm trying to leave the jobless life and I'm hoping you can help me.
I graduated recently with a BS ChemE which didn't touch much on electrical engineering. I have a job interview coming up which will have assessment tests on "electrical, mechanical and automation engineering." I'm looking to brush up and learn as much stuff as I can to do well on these assessments. This is a trainee position so I'm sure they don't expect me to be a genius on any of these subjects but I need to at least know some basic concepts.
The job title in specific is "Field Service Engineer Trainee," and from the initial interviews I've had it seems to be vastly focused on real life mechanical issues rather than theory.
I've started reviewing what I learned on basic electrical components (resistors, capacitors, inductors, etc), both on what they're made of and how they function within a circuit. I've also begun learning ladder logic and the basics of PLC programming. I've already learned a bit about PID controls from my degree.
Main question: does /sci/ have any suggestions for crash course lessons on basic EE, mechanical concepts, and automation engineering? Do you have an idea of what kind of questions an entry level trainee may be asked as interview questions on those topics?
I'm looking for a function
[math]h: R^m \to R[/math]
so that for m consecutive components of a vector [math]v \in R^n [/math] with [math]m<n[/math], the function [math]h[/math] approximates the next component. For starters, this h can be a linear form w.
I.e. I'm looking for the constant [math]w \in R^m, c\in R[/math] so that [math]w \, \cdot \, (v_k,v_{k+1},v_{k+2},...,v_{k_m}) + c \sim v_{k+m+1} [/math].
Yes more concretely, I'm interested if there can be a simple predictor for this price data (BTC-USDT), at least for the sign (up, down)
https://pastebin.com/pX6Ymm2s
v = [4206.001, 4215.0, 4218.518, 4235.0, 4222.15, 4220.0, 4220.1, 4220.1, 4210.1, ..... 4220.00004221, 4220.00048457, 4220.0, 4220.0, 4225.0, 4234.0, 4227.0, 4230.0, 4235.231, 4231.1, 4239.0, 4243.99999999, 4247.72834495, 4250.00000001]
So let's say we're interested in an estimator w of length m=4, then
w_1 · 4206.001 + w_2 · 4215.0 + w_3 · 4218.518 + w_4 · 4235.0
should evaluate to roughly 4222.15
and if we plug in four components of v shifted by an index, it should yet estimate the next component.
The 4th component will be like the 0'th approximation, and minus difference of the 4th and 3rd will indicate the direction in which it is goin, and so on.