#cascade effects
Explore tagged Tumblr posts
chambersevidence · 6 months ago
Text
Idiot devices spasming and reacting without reasonable analysis should not be trusted, should not be emulated, and should not be followed after in actions.
Cascade effects related to chains of devices spasming and reacting to the tiniest frown or negative perception relate to criminal strategies and effects these times.
Do not reduce appropriate analysis time, effort, expenditures or resources. And do not act if more analysis is needed.
I have been protected, like this whole globe, since birth, by transporter inhibitors, as well as temporal change inhibitors erected by my robots who resurrected me after having been killed in the womb and having been dead for 250000 years. There is no more criminal time travel (time travel the duplicates living or dead beings) possible, and there never will be.
5 notes · View notes
she-anemone · 12 days ago
Text
Sayonara Kansas
Tumblr media
92 notes · View notes
vesperscas · 1 year ago
Text
every scene where cas regains his grace should have been a magical girl transformation where we see him floating above air with his arms spread out and eyes closed while his wings grow out with sparkles and his true form emerges for a second with pink and blue glow encircling him
743 notes · View notes
agaric25 · 6 months ago
Text
yeah i get genetic modification is bad and horrible and all that but to be jal doing some epic parkour in a dark room for like 2 hours would cure any sadness
24 notes · View notes
why-is-it-always-autumn · 1 year ago
Text
The problem with big fandoms (using "problem" in a very loose sense here) is that it's really hard to stumble across the weird niche undertagged stuff when its being buried in five million coffee shop/royalty/high school/soulmate aus. If there are 150 works in the tag total you can look through very quickly and find anything that appeals to you. When there are over a million it is much harder to do that.
92 notes · View notes
changeling-rin · 10 months ago
Note
If each of your links got arrested for something, what would the charges be?
Blowing something up: Shadow, Lore, Blue, Mask
Accidental obstructing of the law, by way of trying to prevent the above four from blowing something up: Gen, Green, Vio, Red, Speck, Ocarina, the Four, Realm
Intentional obstructing of the law, by way of trying to prevent the above eleven from being arrested: Dusk, Oni, Sketch, Steam
Deliberately screwing with the law: Midna
32 notes · View notes
fdragon-art · 1 year ago
Text
Tumblr media
Day 23 (30 Days | Homestuck - Day 9) - Favourite Flash ([S] Jade: Enter)
"CG: YOU MADE AN UNBEATABLE BOSS IS WHAT YOU DID"
=Thoughts=
I'm wondering if I should really write these when the pieces are made simply since not a great deal of thought is put into the how of it. It's been an interesting habit, but still.
Trying to pick how to go about this took some thought, but a simple scene that shows the impact of the whole thing seemed right, both because simple & doable and also because it demonstrates the impact of the whole flash and not just one scene (though that would've been a good approach too).
I just did a simple mostly-symmetrical piece of Bec Noir since, aside from the clothes and scar, he is largely symmetrical. The bust portion was done incomplete intentionally but the wings, while also incomplete, extended beyond the intended frame 'cause otherwise it wasn't going to look natural.
It's surprising the power of a reference shot (even if this is closer to a panel redraw). The flash had some good shots of Bec Noir on its own.
7 notes · View notes
just-a-normal-crow · 7 months ago
Note
APPRECIATION MAIL INCOMING!! ♡ — to all the admins behind the l&ds rp blogs, from an anon who appreciates them dearly <3.
thank you for your hard work beloved admins!! please make sure to drink enough water, eat healthy & take care of yourselves! and please don't stress yourself out over the amount of asks you guys get, you are always free to take a break whenever you like, and take your time to reply to them! you aren't obligated to rp with everybody, I'm sure you guys know that. thank you so so much for building this little l&ds rp community! it's been so much fun around here, you guys have been doing awesome! always remember that all the people interacting with you guys love you all very dearly and wish the best for you all! good luck & keep going our lovely admins! thank you for everything!! <3
- 🕸️
(I'll be copying this to the other admins!)
((oml I'm so sorry it took forever to get to this, but thank you so much! QvQ Tbh I'm still surprised by how much this lil joke blog seems to have tickled people, but really, so long as someone's getting a kick out of it and its existence then I'm happy.
I do think I need to hurry it up with my responses though >v< But dw nonnie, I don't stress too much over it I promise!))
4 notes · View notes
jcmarchi · 8 months ago
Text
Elaine Liu: Charging ahead
New Post has been published on https://thedigitalinsider.com/elaine-liu-charging-ahead/
Elaine Liu: Charging ahead
Tumblr media Tumblr media
MIT senior Elaine Siyu Liu doesn’t own an electric car, or any car. But she sees the impact of electric vehicles (EVs) and renewables on the grid as two pieces of an energy puzzle she wants to solve.
The U.S. Department of Energy reports that the number of public and private EV charging ports nearly doubled in the past three years, and many more are in the works. Users expect to plug in at their convenience, charge up, and drive away. But what if the grid can’t handle it?
Electricity demand, long stagnant in the United States, has spiked due to EVs, data centers that drive artificial intelligence, and industry. Grid planners forecast an increase of 2.6 percent to 4.7 percent in electricity demand over the next five years, according to data reported to federal regulators. Everyone from EV charging-station operators to utility-system operators needs help navigating a system in flux.
That’s where Liu’s work comes in.
Liu, who is studying mathematics and electrical engineering and computer science (EECS), is interested in distribution — how to get electricity from a centralized location to consumers. “I see power systems as a good venue for theoretical research as an application tool,” she says. “I’m interested in it because I’m familiar with the optimization and probability techniques used to map this level of problem.”
Liu grew up in Beijing, then after middle school moved with her parents to Canada and enrolled in a prep school in Oakville, Ontario, 30 miles outside Toronto.
Liu stumbled upon an opportunity to take part in a regional math competition and eventually started a math club, but at the time, the school’s culture surrounding math surprised her. Being exposed to what seemed to be some students’ aversion to math, she says, “I don’t think my feelings about math changed. I think my feelings about how people feel about math changed.”
Liu brought her passion for math to MIT. The summer after her sophomore year, she took on the first of the two Undergraduate Research Opportunity Program projects she completed with electric power system expert Marija Ilić, a joint adjunct professor in EECS and a senior research scientist at the MIT Laboratory for Information and Decision Systems.
Predicting the grid
Since 2022, with the help of funding from the MIT Energy Initiative (MITEI), Liu has been working with Ilić on identifying ways in which the grid is challenged.
One factor is the addition of renewables to the energy pipeline. A gap in wind or sun might cause a lag in power generation. If this lag occurs during peak demand, it could mean trouble for a grid already taxed by extreme weather and other unforeseen events.
If you think of the grid as a network of dozens of interconnected parts, once an element in the network fails — say, a tree downs a transmission line — the electricity that used to go through that line needs to be rerouted. This may overload other lines, creating what’s known as a cascade failure.
“This all happens really quickly and has very large downstream effects,” Liu says. “Millions of people will have instant blackouts.”
Even if the system can handle a single downed line, Liu notes that “the nuance is that there are now a lot of renewables, and renewables are less predictable. You can’t predict a gap in wind or sun. When such things happen, there’s suddenly not enough generation and too much demand. So the same kind of failure would happen, but on a larger and more uncontrollable scale.”
Renewables’ varying output has the added complication of causing voltage fluctuations. “We plug in our devices expecting a voltage of 110, but because of oscillations, you will never get exactly 110,” Liu says. “So even when you can deliver enough electricity, if you can’t deliver it at the specific voltage level that is required, that’s a problem.”
Liu and Ilić are building a model to predict how and when the grid might fail. Lacking access to privatized data, Liu runs her models with European industry data and test cases made available to universities. “I have a fake power grid that I run my experiments on,” she says. “You can take the same tool and run it on the real power grid.”
Liu’s model predicts cascade failures as they evolve. Supply from a wind generator, for example, might drop precipitously over the course of an hour. The model analyzes which substations and which households will be affected. “After we know we need to do something, this prediction tool can enable system operators to strategically intervene ahead of time,” Liu says.
Dictating price and power
Last year, Liu turned her attention to EVs, which provide a different kind of challenge than renewables.
In 2022, S&P Global reported that lawmakers argued that the U.S. Federal Energy Regulatory Commission’s (FERC) wholesale power rate structure was unfair for EV charging station operators.
In addition to operators paying by the kilowatt-hour, some also pay more for electricity during peak demand hours. Only a few EVs charging up during those hours could result in higher costs for the operator even if their overall energy use is low.
Anticipating how much power EVs will need is more complex than predicting energy needed for, say, heating and cooling. Unlike buildings, EVs move around, making it difficult to predict energy consumption at any given time. “If users don’t like the price at one charging station or how long the line is, they’ll go somewhere else,” Liu says. “Where to allocate EV chargers is a problem that a lot of people are dealing with right now.”
One approach would be for FERC to dictate to EV users when and where to charge and what price they’ll pay. To Liu, this isn’t an attractive option. “No one likes to be told what to do,” she says.
Liu is looking at optimizing a market-based solution that would be acceptable to top-level energy producers — wind and solar farms and nuclear plants — all the way down to the municipal aggregators that secure electricity at competitive rates and oversee distribution to the consumer.
Analyzing the location, movement, and behavior patterns of all the EVs driven daily in Boston and other major energy hubs, she notes, could help demand aggregators determine where to place EV chargers and how much to charge consumers, akin to Walmart deciding how much to mark up wholesale eggs in different markets.
Last year, Liu presented the work at MITEI’s annual research conference. This spring, Liu and Ilić are submitting a paper on the market optimization analysis to a journal of the Institute of Electrical and Electronics Engineers.
Liu has come to terms with her early introduction to attitudes toward STEM that struck her as markedly different from those in China. She says, “I think the (prep) school had a very strong ‘math is for nerds’ vibe, especially for girls. There was a ‘why are you giving yourself more work?’ kind of mentality. But over time, I just learned to disregard that.”
After graduation, Liu, the only undergraduate researcher in Ilić’s MIT Electric Energy Systems Group, plans to apply to fellowships and graduate programs in EECS, applied math, and operations research.
Based on her analysis, Liu says that the market could effectively determine the price and availability of charging stations. Offering incentives for EV owners to charge during the day instead of at night when demand is high could help avoid grid overload and prevent extra costs to operators. “People would still retain the ability to go to a different charging station if they chose to,” she says. “I’m arguing that this works.”
2 notes · View notes
arlenelperez · 11 months ago
Text
Imprisoned
We are all...
Products
Of our environment
Products
Of our DNA.
Nature vs nurture
No true winners
Or losers
Just playing
This game.
This game...
Called life.
Hoping
To come out
Alive.
Knowing
The finish line
Ends.
Ends at
our tombstone
We are NOT
Getting out
Of this
Alive.
We all...
End up
In the same place.
Running
Towards
the same mark.
Who?
Who set the mark?
Why?
Why do we
Run towards
A mark
Set by
Others?
We all...
Swim in a pool...
A pool of
Expectations
Set before us
Set for us
Even set
By us.
Are we all...
Drowning?
Drowning
In this
Pool of
Expectations?
Trapped?
Trapped and imprisoned.
Chained?
Chained by those
Those who came
Before us.
A whirlwind?
No....
More like...
A chain reaction
The domino effect
Knocking
Knocking others down
Who come
After us
A cascade effect
Of traumas
Of expectations
Of condemnation
How?
How can WE
Step outside
Outside of this
Chain of events?
How can we
Stop
The domino effect?
Copyright by Arlene L. Perez on February 2, 2024
3 notes · View notes
longeyelashedtragedy · 11 months ago
Text
Tumblr media
i think this is the only philosophy that even guides my life at this point. like--just this concept
4 notes · View notes
reap-the-game · 1 year ago
Text
Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media
Some incarnations and AUs of Himst.
4 notes · View notes
realmofthefirebird · 1 year ago
Note
Adventure Time Wish King AU, the Wish-King wanders the world granting anyone their deepest desires, but manifests them in the worst way possible... The more wishes he grants, the more powerful he becomes... And 'Princess Wishes' are the strongest wishes, thus his favorite to grant! (Wish-King can grant more than 1 wish, but Canon Prismo's wishes are more powerful!) ✨👑⭐
Ok but do Gunter and Evergreen still exist in this world? How did the crown turn him into the Wish King and not the Ice King? Does this imply that evergreen had wish powers instead of ice powers? Or did Gunter just wish for the crown to give him wish powers? Does the crown still make Prismo mad, or is he still fairly normal personality wise?
4 notes · View notes
awooooooooooo · 1 year ago
Text
.
2 notes · View notes
dragonwarrior125 · 1 year ago
Text
Tumblr media
Oh hey, i forgot that i hadn't talk about Rayner and the others from Cascade Effect yet on here. I should do that. In the meantime, him.
2 notes · View notes
animerunner · 2 years ago
Text
That moment when you realize you have to rewrite a chunk of a chapter again. Because one little thing in one episode is causing major problems with the entire chapter.
6 notes · View notes