#vector class 12

[firecurls-27]

Team chaotix headcanons bc I adore them and I’m fandom trash.

Charmy bee

6 - 9 yo. Realizes he’s pansexual when he’s older, he/him. Audhd.

(If human) I imagine him as Afro-Latin. Do I have evidence? No. But I feel it.

Has trouble reading (possibly dyslexic), but refuses to acknowledge or tell anyone and it bites him in the ass. “Hey man, what does that say?” “Uh…chicken kebab.” “Chicken keba- -that says ‘restroom’.” “Does it??” “Where’d you get ‘chicken kebab’ from???” “I dunno????”

Has no idea who his family or parents are or were. He doesn’t care. Vector and Espio are his family, and that’s that.

Used to call vector “dad” when he first started talking. Vector pretended not to like it. After he was officially hired as a member of the detective agency, he stopped calling vector “dad” and just called him by his name to sound “more professional” as Charmy called it. He started calling vector “dad” again when he turned 12 or so.

There was one time the Chaotix went on a dangerous mission and charmy almost got badly hurt. They thought it’d be a good idea to put him in daycare for a bit during the day so he’s somewhat safe and he gets to learn things.

It took 3 people to drag charmy inside the daycare. He did NAWT wanna go.

Normally is very polite and kind but will absolutely throw hands if you insult his friends/family or are mean in general. He’s got a 0 tolerance policy for bullies.

When he gets into a serious fight, he takes off his helmet. He headbutts.

Enjoys boxing and watching the boxing channel. He tried to train with some friends but it got out of hand and needless to say to say he sent 3 kids to the hospital. But at least he was victorious.

Knuckles is his boxing coach when they have time together.

Doesn’t have a lot of actual friends his age. He claims his best friends are Espio and vector. Which concerns them both because they want charmy to have friends his age.

Occasionally vector gives him days off and lets charmy roam the neighborhood to hang out with neighbor’s kids. Charmy isn’t really close friends with any of them, but at least it’s something.

But charmy ends up hanging out with cream and tails the most.

The minute charmy and cream met they saw each other as siblings. Like they both believe they came out of the same woman. When they get time to themselves they like to cause slight mischief around town.

Vector teaches him a lot about money, so charmy hosted a whole ass class to the neighborhood kids about how to commit tax fraud. You can imagine some parents were not pleased.

In real life, bees are known for being excellent dancers. You know damn well my boy charmy is tearing it up on the dance floor. You name a dance and he can dance as if he invented it. The moonwalk, the Prisiadki, the Charleston, any. Vector and Espio are insanely impressed.

If he didn’t love detective work so much, he’d be a food critic. He’s got a good flavor palette.

He likes to help tails test-drive with some new robotics if Sonic is unavailable at the moment.

He and kit have unspoken beef.

Speaks a little Spanish. He, Espio, and Ray like to shit-talk their coworkers speaking Spanish and none are the wiser.

Teaches cream swear words in Spanish.

When he got older and became a dad he called vector every 5 minutes to ask baby questions and to see if he was doing everything right. Vector had to come over several times for it to only be a minor fix. But he assures charmy that he’s doing a great job.

Espio

17 - 21 yo. Bisexual, he/they. Autistic.

(If human) Japanese.

Mommy issues. She genuinely does care for him, but is so insanely strict and uptight and it’s suffocating and one of the only people that gets Espio really riled up.

Close with his father, but he died under mysterious circumstances when Espio was around 12 or so. Espio still wonders what happened.

Has a couple younger sisters, but was never very close to them, as he was busy with ninja training.

I have some more backstory for him but it involves oc x canon and ik no one gives a shit lol /hj

left home at 15 and stayed at Angel island for a while.

I said it before in a personal hc and I’ll say it again. He unintentionally pulls bitches. Male, female, doesn’t matter. A client comes in, the job gets done, the client gives Espio their phone number personally. He doesn’t know why.

Espio has a whole drawer full of these numbers he keeps because he thinks they could be used to call previous clients for future cases. Vector seethes with jealousy and frustration.

Too young to be considered a co-parent, but too old to be considered vector’s son. So vector just refers to him as “family”, he doesn’t need a label.

His favorite food is dumplings, but this specific recipe his mom made. They aren’t on speaking terms, so he can’t get the recipe. Every time he tries to re-create it, it comes out wrong.

He can cook excellent Japanese cuisine, but because the ingredients are so expensive he can’t make any for vector and charmy.

Canonically speaks 17 languages, so if he’s pissed at his coworkers he speaks only a certain language they can’t speak. It drives them up the wall.

Has the potential to sing really really good, if he used his talent he’d be more popular than Elvis.

Learned shamisen from his father. He has a few sheets of music his father would play when he was younger, and tries to recreate the music.

Hopes to open his own tea house one day.

Looooves tea. Likes to drink it after a long day. Or sake. Depends on what kind of day he’s had.

Vector

21 - 35 yo. Straight, he/him. Adhd.

(If human) African-American, but he’d be from Louisiana specifically.

Momma’s boy. Learned from her to be kind to others without reward. He was closest with her.

Youngest of 30. The most picked on and got everything last. Thankfully, his momma made sure he gets food at every meal.

His pop was very hard on him, trying to toughen him up, but also never took vector seriously.

He ran away from home when he was 13 and lived in Downunda till he was 18 and met the other chaotix.

Writes to his mother every day.

Used to smoke until he adopted charmy. He’s done a good job at quitting!

Used to partake in Mary-Jane and lots of drinking. Stopped 1, bc of charmy and 2, bc he couldn’t afford it anymore. He saw it as his wake-up call in order to quit. …but every now and then if offered…

Babysat cream once in hopes of gaining vanilla’s favor. He spent the evening teaching cream tax fraud. Vanilla was not impressed.

Scruffs anyone shorter than him when arguing. Oh, talking shit? Get scruffed, idiot.

Cream is basically his daughter now, he’s such a girl dad. But doesn’t forget to give charmy equal amounts of love and attention.

Would die and kill for his kids. Don’t think he won’t.

Loves to DJ, and occasionally DJ’s for big events of the price is right.

Looooves jerky. If you give him some he’d kill for you. But if you give him one of those gross fake-jerky’s he’d kill YOU.

Used to have an awful swearing problem, and tries to keep it on the down-low after he had charmy. It was hard to stop swearing, but he did a good job. But of course the one time he swore, charmy’s first word became “shit.”

Chaotix

They once took a job at club rouge in hopes of getting some extra cash, but they were all fired after the first day. Vector was too aggressive with mean customers, charmy kept messing up orders and spilling food, and espio kept running off to use the slot machines.

They genuinely have no idea what happened to mighty and ray.

There’s a group of mean kids in their neighborhood that like to pick on charmy. Normally, charmy doesn’t say anything about it and takes care of it himself by trying to fight against them. He always loses and comes home with some bruises or cuts.

But there was one time he got roughed up a bit too much and broke his arm. Obviously Espio and Vector took him to the emergency room, but afterwards they decided to try and take care of the punks themselves. Then the parents.

After that they got arrested for aggravated assault. Vanilla had to bail them out.

They loooooooove the beach. They try to go as much as they can during the summer and spring.

During the winter, because Espio and vector are cold blooded, they get rather sluggish and more tired. As an addition to that problem already, their building doesn’t have good air conditioning, leaving them very cold and unable to do a lot around the agency.

it’s up to charmy to try and pick up the slack, and solve cases while he makes vector and Espio rest.

Turns out he can’t do every single job in the agency by himself, so he desperately asks cream and tails for help with cases. While vanilla helps trying to keep espio and vector from freezing to death.

When the temperature gets warmer and Espio and vector can move again, they give charmy a few days off so he can relax for all his hard work.

They have the dumbest conversations if there’s nothing to do. They once got into a fight about what color an orange is. Don’t ask.

They have a rinky-dink box tv they all have to share. If someone wants to watch a different channel they rock-paper-scissors for it. Vector always loses.

When charmy’s asleep, vector and Espio drink Sake together and discuss further finance decisions and business problems. But it ends up turning into stupid conversations either about childhood trauma or something funny they saw on the street.

Vector’s room consists of a twin bed way too small for him that only has one pillow and a blanket, a broken down record player, several draws of tacky jewelry, posters from bands and musicians that were popular in the 90s, a boombox, a closet of old clothes that don’t fit him anymore, and several dirty clothes on the floor.

Espio’s room consists of a futon he tried to diy but it’s lumpy and uncomfortable, a bunch of mix-n-match furniture he bought in attempts of trying to make it a somewhat not-sad living situation, several ninja stars and Shuriken’s stuck on the walls and ceiling from practicing and night terrors, said ninja stars and shurikens are also hid under his pillow and his futon, a few katanas are hung on his wall, and a closet of traditional kimonos, ninja outfits, and disguises.

Charmy’s room consists of a twin bed that’s a bit nicer than vectors but still messy, a baby blanket his parents gave him (the only thing he has from them), knock-off toys vector bought at the discount store, miscellaneous objects (such as wrenches, staplers, sticks, etc) that Charmy claims as toys, drawings he’s made, photos of the Chaotix’ on various adventures, several board games for “family game night” they’re all just different editions of the game Clue, and a closet with toys he claimed he put away, a couple winter coats, and several swimwear because he forgets where he puts them and ends up buying a new pair.

Bonus fella’s:

Mighty

16 - 22 yo. Omnisexual (masc pref), He/him. Audhd.

(If human) genuinely don’t have any idea, but he’d be from Texas no matter the ethnicity.

Grew up on a desert farm with his Pop and a few little siblings. Country boy. Left to peruse a life of adventure, but still keeps in touch with his dad.

Has an accent he tries to hide because the others tease tf out of him for it. “Hey have y’all seen-“ “y’all??” “Y’ALL???” “Stop.” “Y’ALL C’MERE N HELP ME WITH THE CHICK’N KOOP!!” “Stop it.” “BERNIE COME GIT THE DAYUM CATTLE ‘FORE IT EATS ALL OUR CROPS!!!”

Gym enthusiast. Loves to work out every day he can. And likes to help out people in the gym who struggle.

Used to have teeeeerrible anger problems, but he’s gotten so much better. He learned to calm down when he began taking care of Ray. Ray taught him patience, quiet, and self control.

Sweetie pie. Is the best to come to for comfort, he’s so polite.

Gives. The. Best. Hugs. Why do you think he works out so much?

Amazing with kids, likes to read them books if he ever babysits. And used to read storybooks to Ray.

After several years of practically raising Ray, he knew he wanted to be a dad. Problem is, he doesn’t have a partner he wants to raise kids with…

Ray likes to make homemade gifts, mighty keeps every single one no matter how misshapen it is or how shitty it’s made.

Ray

6 - 12 yo. Genderfluid when older, he/she/they. Autism.

(If human) Mexican.

Was about 3 - 4 years old when he met mighty, and has stuck by him ever since.

Ray used to call him “dad” but began calling him “brother” when he was 5. Mighty misses when he used to call him dad.

Can kick your ass in go-fish.

Not as smart as tails, but not as dumb as charmy.

Loves kickball. Is the best out of the entire group.

He, charmy, tails, and cream have flying races to see while fastest. He and tails tied.

Really good chef. Give him miscellaneous items in your pantry and he’ll give you a 5-star meal. Charmy is the taste tester.

He’s a real sweetie, but has a mischievous and sassy side that only comes out when he’s with kids his age.

His blue shoes were the first gift mighty ever gave him.

Spanish is his first language. Mighty taught him English, and he teaches mighty Spanish.

Becomes a professional chef when he’s older.

[altin-studies]

Finals countdown - 9 days to d-day

April 12, Friday, 2024

Eid is finally over and studies is back in full swing.

Today's Productivity list:

Do Multiple Integrals classes

Do Vector Calculus Classes

Practice problems on Taylor's and Mclaurins Series

Practice Problems on Multiple Integrals

Tag me -> #altinstudies

[sproutystudies]

12/4/24

Now that I'm post-QE and not taking classes, I don't have to do any true studying for work/school, but I still have areas (work-related and otherwise) that I want to refresh on and improve on. As a result, I'm going to continue making some educational posts, but the subjects will shift towards spanish, bioinformatics + coding, and maybe even some statistics. This could include:

Spanish grammar guide (I made one of these for French in the past, so I could post that as well if people are interested?)

Data visualization with R

Intro to bash/unix

Intro to python

Intro to sql

Computing clusters and SSH

Statistical modeling (not my expertise but I want to learn more)

If anyone has opinions about what I should prioritize please do let me know!! While this is for my own learning, I want to share what others want to see!

Other things I'm working on lately include writing manuscripts, cloning some stubborn vectors, and soon making a website using github and jekyll :)

[exdraghunt]

TF One re-write

Okay so, I didn't like TF One. But I think it had a lot of potential. So how would I have altered the story to make it better? Let me dump my thoughts onto the page for 3,700 words.

The scene opens with a desolate alien landscape. Rotting buildings, shifting metal shapes, dangerous and lonely. The camera pans down below ground to a fantastical underground city, full of shining buildings and alien robots on wheels, in the sky, and on foot. We pan to a building labelled “Archives!” with a sign stating “Intellectual Class only!” Around the side, a scruffy figure is climbing in through a vent to access a dim storage room.

Taking a stack of files, Orion plugs one into a display. It malfunctions, alerting a guard drone, but he manages to get it working. A history file, it explains how Primus became the planet Cybertron and created the great 13 Primes to rule the planet while he slept. The Matrix of Leadership was held by the Primes, only able to be wielded by true leaders with the purest of sparks. As long as the Matrix is held by a Prime, energon flows freely across the surface of Cybertron, the lifeblood and fuel of its children. But then the Quintessons came to enslave the Cybertronian race, and the Primes rose up against them. 12 of them fell. Solus, Alchemist, Quintus, Alpha Trion, Vector, Micronus, Nexus, Amalgamous, Quintus, Liege Maximo, even the great Prima, were lost to the oppressors. Only Sentinel Prime, the last Prime, was able to scrape victory from defeat, driving away the Quintesson threat. But the Matrix was lost, and energon stopped flowing. In his wisdom, Sentinel had the computer Vector Sigma create the cogless Mining caste, to make sure that energon could still be provided to the people of Cybertron, and implemented a caste system to make sure that energon is distributed in a way fair to all.

Orion is frustrated. If they could only find the Matrix, all would be well again. Everyone could be equal, with plenty of fuel for all. Unfortunately, archival guards find him. A chase ensues, the camera follows Orion and his pursuers across the gilded city, past richly decorated high-class bots, through a lower class district of lower caste mecha, and finally to the entrance to the deep mines. A silver miner, D-16, covers for Orion until the guards leave, and inquires if his friend learned anything. Orion admits he didn’t discover anything new about the Matrix, but re-emphasizes that if the Matrix could just be found, and given to Sentinel Prime, everything would be well again. D-16 chastises Orion for risking his aft on a dumb chase. The Matrix is a fairy-tale, nothing will change until the lower castes can prove they are worth something. Only they will be able to change their own fates.

Deep in the mines, dimly lit, we see where the miners live. In racks, closely spaced, with no privacy or space of their own. They report to work, Orion and D-16 running to ensure they aren’t late. Their supervisor, Elite-1, chastises them for running behind, and sternly tells them she won’t take the fall for their fuckups. They head into the latest adit, marching into the darkness. Tools flash as they begin to dig into the rough metal of deep Cybertron, searching for glimmers of raw energon ore.

One miner (Wheeljack) notes an unusually strong energon signature, and the miners become excited that they might break quota for the day. Elita is especially excited. If they can exceed their quote, she might be rewarded. Even, moved up a caste if they work hard enough.

The vein is unstable, however, and the adit begins to dangerously collapse. Everyone begins to evacuate, with Elita barking orders over the comm. Jazz stumbles, and falling ore traps his leg. Orion immediately stops and begins trying to free his companion. Elita commands him to evac, but he refuses. Even if he dies, risking his life would be worth it if he can save even one more. D-16 turns back, and with his assistance, Jazz is freed and the three escape. (Barely). Elita is blamed for the collapse, and knocked down to garbage duty. Furious, she is dragged off.

Jazz lost his leg and the supervisors decide he’s not worth the extra parts to have it replaced. Orion and D-16 protest. Orion tries to appeal to their better nature, not to sentence their fellow Cybertronian to an unpleasant death for lack of function. D-16 is accusatory, that the upper classes don’t give a slag about the cogless even though replacement legs aren’t that expensive.

Orion proposes breaking into medical storage that night, to steal parts for Jazz. D-16 goes along, and the two manage to get the replacement but not without being caught due to a blunder on Orion’s part. Jazz thanks them profusely for the effort, even as the two are sentenced to half-rations and double-shifts. D-16 grumbles at Orion for messing up their plan.

The next day, a public announcement is made by Sentinel Prime. The highest castes see him in person, everyone else by vidscreen. Everyone kowtows before him, giving a ritual greeting before listening to his message. Sentinel has been to the surface, making the dangerous journey to search for Quintesson patrols and signs of other Cybertronians. He sadly claims that the other former cities of Cybertron show no signs of life with the exception of Tarn, where the planetary defenses are and thus where much of their energon goes, and the Matrix is still missing, but he did fight off a Quintesson warship and their people are free for another day. The next day will be a city-wide holiday, during which a great Primal contest will be held. All castes are invited to watch, while only racing-class, intellectual-class, and class-exempt mecha may compete.

Orion is excited for the contest, D-16 accusatory. The contest is just a way for the noble-classes to show off, why enjoy it? Orion counters that they shouldn’t watch it, they should enter it. If they compete, they can show people that the cogless are worth something. Even if they don’t win. And if they do win, they can be reclassified alt-mode exempt. Do whatever they want, perform whatever job they please, enter any building in the city.

D-16 complains that, as they don't have alt-modes, they can't become "alt mod exempt" but Orion protests that the rules apply to everyone. The nobles can't just deny them this because they're miners. Besides, then they can speak to Sentinel Prime himself to ask for better treatment and medical help for their caste. D-16 can’t help but agree, it’s a crazy idea. But just maybe, it could work.

The competition is a mixture of intellectual puzzles, fighting, sharpshooting, and racing. It is meant to show that the Cybertronian people can fight the Quintesson threat, now made into a festival. D-16 and Orion crash the starting line and starts working their way through the crazy obstacle course. They struggle, but by working together and combining their respective skills, they manage to keep going. Orion excels in problem solving, D-16 in fighting. We see flashbacks of them using those respective skills in the mines. There is a snafu at the shooting stage, as neither can transform, neither has in-built weaponry. But D-16 comes up with a mining laser and scores a smoking bullseye. They run on to the race.

Now, they can’t help but fall behind. They are on pede, with no wheels or wings. They hop across other racers, gaining their ire and making several racers change their focus from winning to killing the miners. Using this against them, D-16 and Orion manage to continue to gain ground, taking out several racers in the process. But when Orion is injured, D-16 turns to help him, and the other racers roar past to the finish. Orion and D-16 DNF.

In the medical wing, the two bicker, only to be silenced when Sentinel Prime comes to see them. Orion immediately kowtows, awed by the sight of their god. D-16 grumbles a little, but half-heartedly follows his friend’s lead. Sentinel compliments their efforts, and says they’ve inspired their fellow miners to work even harder than before. Orion attempts to make a plea to better the conditions for his caste, but is brushed off. Sentinel leaves, and the two grumble in frustration. Then, one of the racers they sabotaged earlier bursts in and grabs the pair, dumping them down the nearest garbage chute to the great smelters beneath the city.

Popping out of the chute many stories down, D-16 and Orion are greeted by a little yellow bot who introduces himself as B127, or just B. He’s been sentenced to garbage duty, sorting trash for possible valuables, due to his incessant talking pissing off his supervisors. B is excited to show off his collection to the first new mecha he’s seen in ages. He’s spent much of his time pulling interesting junk from the conveyor, and is able to point out random crap as actually being antiques of dubious usability. B127 appears to know a lot about ancient history, more than even Orion, who questions where he's learned this. B reveals that someone has been dumping archival items into the garbage chutes, some of which he saves. One item he shows is a vidmessage, which briefly shows an incredibly fuzzy clip of Alpha Trion before the image breaks. B says it’s the only person he’s been able to talk to in ages.

Fascinated by the image of one of the Great Primes, Orion takes the vidmessage and is able to coax it into showing it’s entire message. It’s an SOS, sent out to the Primesguard in the moments before the Primes fell. A set of coordinates is included. Orion gasps. The coordinates aren’t far from Iacon and, just perhaps, where the Primes fell is where the Matrix fell too.

D-16 is skeptical at going to the surface to quest for a quasi-mythical item, but as usual, Orion is persuasive and convinces D-16 with images of a better life and better Cybertron. B is happy to go along, eager to escape the underlevels.

The trio make it to a first-level train station, where trains are being loaded. One of trash, headed to underlevels, one of energon, headed to the surface for Tarn. While sneaking into the surface train, Elita, loading garbage onto the trash train, follows them with the intent of catching the interlopers and turning them in. She gets trapped in the train alongside them, however, and ends up on the surface with the trio. Once again, Orion is persuasive, explaining their quest, and Elita, with no way of returning below once they are tossed from the train, reluctantly joins.

As they dodge the shifting, seemingly malicious landscape, a Quintesson warship decends and they flee into ruins to escape it. It is quipped “Where’s Sentinel Prime when you need him?” and they also wonder why the planetary defenses aren’t doing anything about the ship. They send a brief prayer to the Primes for their deliverance before continuing on.

Locating the coordinates of the message, they discover the cave containing the bodies of the Primes. Walking through the space, they name every one of the deactivated frames. Until they find a Prime they do not recognize, with a strange mask for a face. Why are there 13 bodies in the cave? Sentinel Prime is still alive, there should only be 12 dead primes. But no, there are 13.

It is realized that Alpha Trion’s spark is still slowly spinning, and he is reactivated. He explains that Sentinel is no Prime, he was, in fact, the head of the Primesguard in charge of fighting the Quintesson threat alongside the Primes. He lured the 13 to this cavern, to a Quintesson ambush. The mystery Prime, Megatronus, threw himself into battle to try and protect his fellow Primes, but all fell. Megatronus last, cursing Sentinel with his last breath. D-16 shares a significant camera frame with the offline frame of Megatronus, as he wonders over the Prime who fought so bravely, and snarled so harshly, before Sentinel erased his name from history.

It is revealed that all Cybertronians are born with transformation cogs, thus, the “cogless” class must have had theirs removed. Orion expresses disbelief, Sentinel created their people specifically to mine and they don’t need cogs for that. Every form has a function. Every Cybertronian is a cog in the machine.

Alpha Trion scoffs. No one is born into a function or task. They are Transformers, free to choose their own path. If Sentinel called them, he had their cogs ripped from their newborn bodies. Mining isn’t a destined job, as with the Matrix, energon flows free for all. But the Matrix dissolved in Sentinel’s hands when he ripped it from Prima’s chest, unwilling to be in the hands of a false Prime.  

Orion is in disbelief, shaken that they’ve been ruled by a false Prime and such an atrocity has been committed. D-16 is furious, and claims that he will kill Sentinel for this. There is protest from Elita and B, he calls them naive, just like Orion, for thinking they can just talk to Sentinel to fix all of Cybertron’s woes.

Alpha Trion gives cogs to the four. Prima, to Orion. Solus, to Elita. Micronus, to B. Liego Maximo, to D-16. He tells them the Primesguard may still be out there, they may be able to help. But then, the cave shakes. Outside, there is a Quintesson ship descending from the clouds. There’s a train on the surface, accompanied by Sentinel and his retinue. They expect to see a fight, but instead. The ship unloads Quintesson troopers, who begin to remove the supplies from the train. Energon, but also transformation cogs. Their transformation cogs. A high-caste Quint, with the rotating, changing faces, comes down to speak with Sentinel. The false Prime attempts to be haughty, but is put into his place and forced to grovel. The Quints are dissatisfied with the amount of energon provided, and the t-cogs are not enough to fuel their experiments. They demand more of both. Sentinel complains that if the Quints would just take care of the damn traitors on the surface that keep raiding the trains, they wouldn’t have this problem, but the Quints won’t hear of it.

The four main characters are furious, and as the Quintessons leave, make a noise which attracts the attention of Sentinel’s guards. A fight and chase ensues. Alpha Trion is captured. The main cast transforms for the first time, and discovers they have in-built weapons. It’s hard to tell if they manage to kill any of Sentinel’s guards, or just wound them, but B is shaken by the thought he may have killed someone. D-16 snorts. Don’t feel bad, it was kill or be killed. You or him. Orion is more sympathetic, and tells B it’ll be okay. The four think they’re homefree, before being ambushed by unseen assailants and going into darkness.

Upon Awakening, they are in a darkly lit space full of vintage flight-frames. Clearly, these are the bandits that have been raiding the energon trains. B looks around and realizes who they are. Seekers. The former Primesguard.

Starscream sits on his throne before them, two unfamiliar mecha at his side. The 13 never respected their guards, going off on their own to fight Quints while leaving their guards to pick up the pieces behind them. Sentinel coerced their help in the betrayal (though they did not know the 13 would be killed), before casting them out as well rather than listen to them. He replaced his entire guard with sparkless drones who can never voice a dissenting opinion, save for his vizier Airachnid. Starscream thinks all Primes are liars and idiots, with no faith in any. Especially not the false Prime, Sentinel.

It is questioned who the other two mecha are. Shockwave, a scientist who realized that the energon supplies were not going to another settlement on Cybertron. Empurata’d and cast out for speaking out against Sentinel. Soundwave, an outlier cast out for protesting Functionism. There are others in the crowd, in the dark. Other Empuratas, other seekers, other outliers. The caste-less, the banished. The furious, and ready to burn down all of Cybertron.

D-16 is clearly enamored with this idea, even as Orion, B, and Elita are disturbed with the idea of violent revolution. D-16 stands, and claims that he will join them. No, he will lead them, because D-16 will follow another’s orders no more.

Starscream scoffs, that some young punk can think to order him, Starscream, around. A fight ensues, vicious and cruel. Insults are thrown. Orion begs D-16 to stop, but is shoved out of the way. D-16 has something to prove. Starscream realizes that this mech might just be the revolutionary they need, and encourages D-16 to be more violent, more vicious. He must shed any semblance of mercy to lead this rag-tag band of outlaws and former military.

An uneasy night is spent in the outlaw camp. D-16 is up late into the night, speaking with Starscream, Soundwave, and Shockwave, making plans. Orion attempts to stay, but can’t handle what they’re talking about, and sneaks up to the surface to see the stars for the first time in his life. B and Elita follow. Orion admits he feels like he’s failed as a friend, failed D-16. Failed his best friend. What can he do now? His every attempt to fix things has just ruined them further.

B protests quietly that Orion is not a bad friend. He is, in fact, the first friend that B has had in his life. Him not being able to save D-16 from his character arc does not make him a failure.

The emotional moment ends when there are lights in the sky. Prime drones descend, having picked up the trio’s spark signatures. Another fight, with D-16 accusing them of exposing their position by leaving the safety of the underground base. But then, he is captured, along with B and many of the outlaws.

Orion escapes along with Elita, but is crushed. Two of their friends are gone, they’re wanted criminals, and they have no proof of anything they’ve seen. How will they ever get the Cybertronian people to see the truth?

D-16 and the others captured are in Sentinel’s palace. He mocks them. D-16 refuses to kneel, and talks back to Sentinel. The false Prime is surprised, and comments that it’s been a long time since anyone dared stand up to him. D-16 brings up Megatronus Prime, and what Sentinel did to him. Sentinel laughs, and reveals that he took Megatronus’ cog for his own, just as a last fuck you. D-16 snarls and threatens revenge, Sentinel is like “If you love Megatronus so much, let me give you something to remember him for” and carves the Prime’s sigil into D-16’s chest.

Orion goes back into the mines, to tell the miners what he’s discovered and convince his former caste-mates to join him in rising against the Prime. They’re skeptical, but Jazz vouches for him. Remembering Orion risking his life to save him, and then again to have him repaired. Orion has done more for the miners than the Prime ever has. They agree to be his army.

Elita has gotten the remainder of the outlaws on her side, and they crash Sentinel’s party. More fighting, with the people of Iacon watching in horror at the ‘traitors’ attacking their Prime.

Soundwave manages to get a video recording of Sentinel’s bragging, and is able to hijack the Iaconian broadcasting system. The people of Iacon reel in confusion, unsure if they’re seeing the truth or lies.

As the miners and the outlaws fight off the seemingly endless army of Primedrones, the main fight spills onto a central plaza. In front of a statue of the 13 Primes holding up the Matrix. As D-16 seeks to murder Sentinel as painfully as possible, Orion is pleading with him to stop the violence and killing. Sentinel killed the 13, how does killing him make D-16 any better? He should live, so that he can be jailed, but D-16 disagrees. The false god needs death.

D-16’s death shot is blocked by Orion, devastating his body and sending him over the edge of a deep pit. D-16 lunges, and attempts to catch Orion’s hand. But his friend slips from his grasp, falling into the bottomless chasm. D-16 stands and mourns for a moment, before his fury reasserts himself. He shifts the blame for Orion’s death onto Sentinel. Sentinel is why his friend is dead, is why Cybertron is a pithole, why the Quintessons have not been chased off, as claimed, but are actually ruling the planet with Sentinel as their puppet. Taking their energon, and stealing their T-cogs. Soundwave is still broadcasting, sending these words across Iacon. Sentinel does not deny any of this.

Turning, D-16 sees the statue of the Primes and is now able to see how Megatronus was crudely reshaped into Sentinel. He demands to know why Sentinel killed him, killed all of them. Sentinel snarls that the 13 were idiots, Megatronus a dumb brute, and the entire planet would’ve become slaves if they were allowed to lead the war. D-16 thinks “dumb brute” is amusing, and decides to claim the name Megatron, to bring the forgotten Prime back into public view and finally allow him to seek his revenge on Sentinel. The false Prime is ripped in half, his t-cog removed, and Megatron rises. The outlaws, with Starscream at the head, cheer for their near leader. Megatron announces that there will be no more Primes, no more castes. The Revolution is Now.

Meanwhile, Orion’s battered frame falls through Cybertron, parts visibly transforming out of the way to draw him deeper and deeper to Primus’ very spark. The matrix appears, and Optimus Prime rises.

When Optimus Prime appears on the surface, glowing with the power of Primus and the Matrix on display, an audible hush falls over Iacon. The miners are clearly in awe for their former friend, the former Primesguard nervous and snarling at the sight of a new Prime.

Megatron questions whether his friend will renounce the Primacy and join him in the revolution. Optimus denies. Cybertron needs its Prime, its true Prime. The revolution will be peaceful, they will work with the upper castes to change things for the better. Megatron is tired of waiting. Of talking. Of hoping and debating about a better life while doing nothing to make it happen.

They fight, a fight as brutal and terrible as anything. Especially because it’s two former friends, now on the opposite sides of the conflict. Megatron begins to lose, and demands that Optimus kill him. But again, Optimus can’t. He can’t resort to murder. He instead exiles Megatron, and all his allies, to the surface.

Energon flows again, new cogs are presented to the cogless, and Optimus promises to end the caste system. But first, they must drive off the Quintesson oppressors. He’s sorry, but they must take their freedom and take their own destiny. While Megatron lurks, ready with his Decepticons, and goes searching for any other survivors which may still be hiding across the planet.

[basic204]

HELLDIVERS OPERATIONAL MISSION LOG - FROZEN RAGE

CLASSIFIED TRANSMISSION: SUPER EARTH COMMAND

OPERATIVE: Master Sergeant Dr. Praxis RANK: Level 25 Specialist Combat Scientist DATE: 15.05.2185 LOCATION: PILEN V - Liberty's Promise City MISSION: Illuminate Mind Control Pylon Neutralization

[Begin Video Feed Transcript – Helmet Cam ID: DP-25-59-MKIV]

[T-00:00:15] Recording begins aboard "Our Lady of Midnight" – Bridge Hellpod Bay

[NEURAL INTERFACE ONLINE] [SUIT SYSTEMS: OPERATIONAL] [BIOMONITOR: HR 87 BPM | BP 124/78 | RESP 14 | O₂SAT 99%] [EXTERNAL TEMP: -85.4°F | WIND: 38 MPH NNE | VISIBILITY: 27%]

Emergency SOS signal penetrates my neural interface like an ice pick driven through the prefrontal cortex. Priority markers flash crimson across my optical field:

[PRIORITY LEVEL: CRITICAL] [LOCATION: PILEN V - LIBERTY'S PROMISE CITY] [DISTRESS CLASS: MIND CONTROL EVENT] [PROJECTED SURVIVAL RATE: 12%] [OPERATION STATUS: TWO TEAMS LOST]

Commander Vega's face materializes on my HUD, lines of exhaustion etched around her eyes: "Praxis, situation is FUBAR. Two teams gone dark. Liberty's Promise is completely compromised – 23,000 colonists converted. Fleet's positioning but most ships are reporting navigation systems affected by Illuminate interference. We're the only vessel maintaining stable orbit."

Multiple SEAF vessels hover in tactical formation, their IFF signatures pulsing steadily on my tactical overlay: "Righteous Thunder," "Liberty's Fist," "Democratic Resolve," "Eternal Vigilance." Comms chatter indicates disagreement among captains about mission viability.

Lieutenant Kim appears at my six, his neurological readout showing elevated stress markers: "Other ships reporting widespread system failures, sir. Our Lady of Midnight is maintaining integrity, but we're down to three functional Hellpods. Radiation from the singularity has compromised our cloning bay – we can't risk any more drops after you."

The AR-23 Liberator locks into my chest mount with a satisfying magnetic snap, weapon systems immediately syncing with neural interface.

[WEAPON LINKED: AR-23 LIBERATOR] [AMMUNITION: 360/405] [FIRING MODE: 3-ROUND BURST] [CHAMBER TEMP: NOMINAL] [BARREL INTEGRITY: 100%]

The P-19 Redeemer settles into my palm, biometric sensors confirming user identity as holster seals engage.

[SIDEARM LINKED: P-19 REDEEMER] [AMMUNITION: 31/124] [FIRING MODE: FULL AUTO] [CYCLIC RATE: 1100 RPM] [TRIGGER PRESSURE: 1.3KG]

Suit diagnostics cascade across my peripheral vision:

[EXOSKELETAL ASSIST: CALIBRATED] [THERMAL REGULATION: ARCTIC PROTOCOLS ACTIVE] [NEURAL SHIELDING: PRIMARY/SECONDARY/TERTIARY] [MEDICAL SYSTEMS: COMBAT-READY] [STIM RESERVES: 100%] [PAIN MANAGEMENT: AUTO-ADJUSTING]

[T-00:00:35] Hellpod seals with pneumatic hiss. Interior lights bleed into combat red

Commander Vega's voice cuts through pre-launch static: "Operation feed will remain open, Praxis. Other ships are falling back – radiation interference from the Meridian Singularity is affecting their targeting systems. We're getting conflicting orders from Command, but Our Lady won't abandon you."

My biomonitor spikes as catecholamine levels flood my system:

[ADRENALINE SPIKE DETECTED] [HEARTRATE: 142 BPM] [BLOOD PRESSURE: 157/92] [CORTISOL LEVELS: ELEVATED] [COGNITIVE ENHANCEMENT: ENGAGED]

The countdown sequence burns across my retinas as the Hellpod's launch capacitors charge: 5…4…3…2…1…

[T-00:01:10] Violent acceleration forces. G-meter redlines at 9.7 before compensators engage

[G-FORCE: 9.7] [INTERNAL ORGAN DISPLACEMENT: WITHIN PARAMETERS] [SUIT COMPENSATORS: ACTIVE] [DESCENT TRAJECTORY: OPTIMAL] [IMPACT VECTOR: LIBERTY'S PROMISE ADMINISTRATIVE DISTRICT]

External cameras penetrate the atmospheric haze, transmitting real-time tactical overlay of Liberty's Promise City:

[POPULATION REGISTRY: 23,467] [CURRENT HUMAN LIFESIGNS: 0] [Voteless SIGNATURES: 21,893] [ILLUMINATE PRESENCE: CONFIRMED] [MIND CONTROL RADIUS: 1.7KM]

The former pride of Super Earth's colonial achievement stretches below – a sprawling metropolitan grid now transformed into a geometric pattern of death. Infrared scanning reveals thousands of Voteless moving through streets in organized formations. Their body temperatures register 12°F below normal human baseline.

Through the static, Commander Vega's voice fragments: "Be advised—Liberty's Promise c-central pylon—coordinates uploading—other ships breaking formation—attempting to maintain—Meridian Singularity radiation—communications compromised—God help us all—"

[T-00:02:47] Impact imminent. Retro-thrusters engage with deafening roar. Descent stabilizers deploy

[IMPACT COUNTDOWN: 3…2…1…] [TERRAIN ASSESSMENT: URBAN RUINS] [STRUCTURAL INTEGRITY: COMPROMISED] [IMMEDIATE THREATS: MULTIPLE] [FRIENDLIES: ZERO]

My vocal subprocessors activate automatically: "STAND BACK FOR DEMOCRACY!"

[T-00:03:01] Hellpod impacts with 2.1 metric tons of force. Surrounding terrain assessment: urban ruins, structural integrity compromised

[IMPACT FORCE: 2.1 METRIC TONS] [SUIT COMPRESSION: 27%] [VERTEBRAL STACK PRESSURE: 8.9 KPA] [TOOTH ENAMEL MICROFRACTURES: DETECTED]

The Hellpod door explodes outward in a choreographed pyrotechnic sequence, exposing Liberty's Promise's frozen hell. Environmental analyzer immediately catalogs survival metrics:

[EXTERNAL TEMPERATURE: -85.4°F] [WIND CHILL: -112.7°F] [EXPOSURE SURVIVAL: 27 SECONDS UNPROTECTED] [ATMOSPHERIC COMPOSITION: O₂ 19.2%, N₂ 78.8%, CONTAMINANTS 2.0%] [UNKNOWN PARTICULATE: PRESENT – PRELIMINARY ANALYSIS SUGGESTS PSYCHOACTIVE PROPERTIES]

Suit compensators whine as thermal regulation systems engage emergency protocols:

[THERMAL REGULATION: MAXIMUM OUTPUT] [POWER DIVERSION: HEATING ELEMENTS +47%] [SUIT INTEGRITY: MAINTAINING] [ESTIMATED OPERATIONAL WINDOW: 4.7 HOURS]

Through swirling ice crystals, optical enhancement reveals Liberty's Promise's true state – a necropolis of twisted infrastructure. Municipal building spires half-collapsed into skeletal remains. Street-level retail corridors choked with abandoned vehicles, many containing flash-frozen former occupants, their faces contorted in expressions of ultimate horror.

The tactical frequency erupts with fragmented transmissions from previous teams, their neural patterns showing clear signs of Illuminate corruption:

"—DP-17 to Midnight, something's crawling inside my thoughts—" "—Major Danvers has turned, REPEAT, Danvers is compromised, he's shooting at—" "—GET OUT GET OUT GET OUT they're in my eyes I can see them moving—"

[T-00:03:15] First visual of compromised Helldivers. Identifying markers confirmed: SEAF uniforms with altered behavior patterns

[TACTICAL ASSESSMENT: HELLDIVERS COMPROMISED] [IFF TRANSPONDERS: ACTIVE BUT CORRUPTED] [NEURAL PATTERNS: ILLUMINATE INFILTRATION] [THREAT ASSESSMENT: LETHAL] [RULES OF ENGAGEMENT: ADJUSTED – TARGETING FRIENDLY FORCES AUTHORIZED]

Through Liberty's Promise's main thoroughfare, optical enhancement identifies three Helldivers from second deployment – their movements displaying the jerky, asynchronous patterns characteristic of neural hijacking. Biometric scan shows impossible ocular dilation, cerebral activity concentrated in non-human patterns.

Private First Class Williams, 31st Battalion, fires his Liberator in rhythmic three-round bursts at hallucinated targets. Sergeant Cooper claws frantically at his helmet, fingernails leaving bloody furrows across reinforced plexiglass as he attempts to physically extract the psychic intrusion. Lieutenant Davis lies face-down in crimson-stained snow, precise triangular exit wound pattern indicating execution-style termination by friendly fire.

Neural defense systems activate automatically:

[PSYCHIC INTERFERENCE DETECTED] [CEREBRAL SHIELDING: ENGAGED] [COGNITIVE PROTECTION PROTOCOLS: ACTIVE] [MEMORY SECTOR LOCKDOWN: INITIATED] [PERSONALITY CORE: ISOLATED]

"This is Praxis to all operational units. Switch to tertiary neural buffers, authorization code echo-nine-seven-tango."

Only tortured screaming answers.

[T-00:04:42] Orbital scan shows multiple nearby Hellpods changing trajectory mid-descent

[ORBITAL ASSESSMENT: CRITICAL] [REINFORCEMENTS: ABORTED] [HELLPOD TRAJECTORY CHANGES: MULTIPLE] [FLEET STATUS: WITHDRAWING] [OUR LADY OF MIDNIGHT: MAINTAINING POSITION]

The tactical overlay paints a picture more chilling than PILEN V's atmosphere – SEAF vessels are aborting deployments in real-time. Hull signatures for "Righteous Thunder" and "Liberty's Fist" already fading as they accelerate beyond optimal support range.

Commander Vega's transmission cuts through momentarily: "—other vessels reporting Illuminate psychic penetration of navigation systems—singularity radiation amplifying effect—we're the only ship with functioning shielding—Praxis, you're on your own—we'll monitor but cannot—repeat CANNOT—send additional personnel—"

"This is Master Sergeant Praxis to all Helldiver ships! Maintain deployment schedule! Liberty's Promise requires immediate reinforcement!"

The tactical display continues its merciless assessment as ship after ship terminates transmission. Only Our Lady of Midnight maintains signal integrity, her Captain refusing orders to withdraw despite tactical disadvantage.

[MISSION STATUS: UNSUPPORTED] [ALLIED FORCES: ZERO] [EXTRACTION PROBABILITY: 23%] [COMMAND RECOMMENDATION: ABORT] [MANUAL OVERRIDE: ENGAGED – CONTINUING MISSION]

[T-00:05:30] First Voteless contact. Initial wave: 27 signatures detected moving at 6.7m/s

[THREAT ASSESSMENT: Voteless] [QUANTITY: 27] [MOVEMENT SPEED: 6.7M/S] [FORMATION: COORDINATED ASSAULT PATTERN] [TARGETING: CONFIRMED – THEY'VE IDENTIFIED YOU]

Through Liberty's Promise's frozen canyon of abandoned buildings, optical enhancement reveals them in nightmarish clarity – former colonists transformed into biological weapons. Facial recognition matches against colonial databases:

Dr. Elena Sorokin, Liberty's Promise Chief Medical Officer Daniel Wu, Colonial Infrastructure Engineer Amara Okafor, Primary Education Specialist Twenty-four others – transformed beyond recognition yet database confirms identity

Their skin bleached corpse-white from both environmental conditions and physiological transformation. Movement analysis indicates complete reconfiguration of musculoskeletal structure – joints rotating beyond human anatomical limitations. Ocular scan reveals complete replacement of eyes with Illuminate sensory organs.

Weapon systems activate simultaneously with neural targeting:

[WEAPON ACTIVE: AR-23 LIBERATOR] [TARGET ACQUISITION: NEURAL CLUSTER] [WIND COMPENSATION: 13 MOA RIGHT] [TEMPERATURE EFFECT: -2.7MM VERTICAL] [OPTIMAL FIRING SOLUTION: CALCULATED]

[T-00:05:43] Three-round burst executed. Three kills. Cranial penetration confirmed.

[RECOIL MEASURED: 2.7MM] [MUZZLE VELOCITY: 983 M/S] [TARGET EFFECT: CATASTROPHIC NEURAL DISRUPTION] [AMMUNITION REMAINING: 357/405] [CHAMBER TEMPERATURE: NOMINAL]

The Liberator barks three times in rapid succession, the titanium-ceramic suppressor keeping sound signature below 137 decibels. Three 5.56mm depleted uranium/tungsten composite rounds punch through cranial cases with surgical precision. Black ichor – a mixture of cerebrospinal fluid and Illuminate biotech – erupts in high-velocity sprays.

Ballistic trajectory analysis estimates penetration depth at 12.7cm – sufficient to completely destroy Illuminate control implants located at the base of the occipital lobe.

[T-00:08:39] Large-scale Voteless reinforcements detected. Thermal sensors identify mass movement throughout Liberty's Promise City

[Voteless SIGNATURES: MULTIPLYING] [THREAT ASSESSMENT: SEVERE] [THERMAL SIGNATURES: 1,000+ AND INCREASING] [MOVEMENT PATTERN: COORDINATED PINCER] [ILLUMINATE CONTROLLER SIGNALS: DETECTED AT MULTIPLE ELEVATIONS]

"This is Praxis to any operational Helldivers! Form defensive perimeter at Liberty's Promise Administrative Center!"

Only the keening arctic wind responds. The storm intensity increases according to meteorological sensors:

[WIND VELOCITY: 47 MPH] [TEMPERATURE DROPPING: NOW -87.1°F] [VISIBILITY: 19% AND DECREASING] [ICE CRYSTAL DENSITY: 317 PARTICLES PER CUBIC CM] [SUIT THERMAL REGULATION: COMPENSATING]

Our Lady of Midnight transmits fragmentary data through atmospheric interference:

[TRANSMISSION RECEIVED] [SOURCE: CDR. VEGA, OUR LADY OF MIDNIGHT] [SIGNAL INTEGRITY: 31%] [DECRYPTION: AUTOMATIC]

"—situation deteriorating—fleet withdrawing beyond psychic range—singularity radiation affecting all systems—cloning bay radiation damage complete—medical reporting unusual neural patterns in surviving personnel—attempting to maintain position but—Meridian Singularity growing—"

[T-00:10:15] Last SEAF vessel signatures apart from Our Lady of Midnight leave orbital range

[FLEET STATUS: WITHDRAWN] [ORBITAL SUPPORT: MINIMAL] [OUR LADY OF MIDNIGHT: MAINTAINING POSITION] [SHIP SYSTEMS: DEGRADING – RADIATION EFFECTS] [EXTRACTION WINDOW: NARROWING]

The tactical display confirms complete mission abandonment. All ships except Our Lady of Midnight have broken formation, retreating beyond operational range.

Commander Vega's voice, strained with competing pressures: "Praxis, Command has ordered full withdrawal. The Meridian Singularity's radiation is amplifying the Illuminate psychic field. I've refused extraction order – we won't abandon you – but our radiation shielding is failing. Engine systems at 43%. Weapons systems compromised. We'll maintain position as long as possible, but the ship is dying."

[BIOMONITOR: STRESS INDICATORS RISING] [HEART RATE: 103 BPM] [ADRENALINE: ELEVATED] [CORTISOL: PEAKING] [COGNITIVE FUNCTION: OPTIMAL DESPITE PHYSIOLOGICAL STRESS]

The reality crystallizes with perfect clarity: Ten minutes on-planet. Seven confirmed KIA Helldivers. Two entire deployment waves eliminated. Complete fleet abandonment.

[T-00:12:18] Movement detected on multiple vertical planes. Illuminate controllers identified on rooftops throughout Liberty's Promise City

[THREAT IDENTIFICATION: ILLUMINATE CONTROLLERS] [QUANTITY: 17] [POSITION: ELEVATED – ROOFTOP DEPLOYMENT] [ARMAMENT: ENERGY WEAPONS] [DEFENSE CAPABILITY: GRAVITATIONAL DISTORTION FIELDS] [PSYCHIC OUTPUT: EXTREME – AMPLIFIED BY SINGULARITY RADIATION]

Optical enhancement identifies them through thermal differentials – their elongated forms silhouetted against Liberty's Promise's frozen skyline. Movement analysis confirms non-human musculature and joint configuration. Anti-gravity systems generate visible distortion fields, allowing effortless hovering in direct contradiction to physical laws.

Neural interface warning flashes across my consciousness:

[PSYCHIC INTRUSION ATTEMPT DETECTED] [CEREBRAL SHIELD INTEGRITY: 83%] [COUNTERMEASURES: ENGAGED] [PAIN SUPPRESSION: AUTOMATIC] [COGNITIVE PROTECTION: LEVEL 3]

The psychic assault feels like liquid nitrogen injected directly into my frontal lobe – a cold so absolute it transcends conventional pain thresholds. Memory fragments shatter and recombine incorrectly. Weapons testing procedures intermingled with childhood recollections. Advanced mathematics spontaneously inserting themselves into combat algorithms.

[T-00:13:45] Incoming fire from Illuminate position. Multiple impacts registered.

[INCOMING FIRE: DIRECTED ENERGY WEAPONS] [PROJECTILE VELOCITY: NEAR-LIGHT] [COMPOSITION: FOCUSED PLASMA] [EVASIVE MANEUVERS: INITIATED]

Their energy weapons materialize through the blizzard as coherent light beams, momentarily transforming snowflakes along their trajectory into superheated plasma. Two rounds punch through my left thigh armor with surgical precision:

[IMPACT DETECTED: LEFT THIGH] [SUIT INTEGRITY: 93%] [TISSUE DAMAGE: MODERATE] [PENETRATION DEPTH: 2.7CM] [CAUTERIZATION: IMMEDIATE] [PAIN LEVEL: SEVERE – SUPPRESSING]

Another grazes my helmet, molecular ablation leaving a molten furrow across reinforced ceramite:

[HELMET INTEGRITY: 94%] [STRUCTURAL DAMAGE: SUPERFICIAL] [SYSTEM EFFECT: MINIMAL] [WARNING: REPEATED IMPACTS WILL COMPROMISE PROTECTION]

Medical subsystems activate without conscious command:

[MEDICAL PROTOCOLS: ENGAGED] [SYNTHETIC COAGULANTS: ADMINISTERED] [ANALGESICS: LOCALIZED DELIVERY] [TISSUE REGENERATION: INITIATED] [MOBILITY IMPACT: 7% REDUCTION]

I execute a tactical repositioning behind the frozen chassis of an abandoned colonial transport vehicle, materials analysis calculating its defensive properties:

[COVER ASSESSMENT: COLONIAL TRANSPORT VEHICLE] [MATERIAL: REINFORCED TITANIUM-ALUMINUM COMPOSITE] [BALLISTIC PROTECTION: 87% AGAINST ENERGY WEAPONS] [STRUCTURAL INTEGRITY: COMPROMISED BUT FUNCTIONAL] [RECOMMENDED POSITION: REAR QUARTER PANEL]

[T-00:15:40] SOS signal transmitted on all SEAF emergency frequencies. No response detected

[EMERGENCY TRANSMISSION INITIATED] [CHANNELS: ALL FREQUENCIES] [ENCRYPTION: DISABLED – MAXIMUM PROPAGATION] [POWER: MAXIMUM] [RESPONSE: NEGATIVE]

"This is Master Sergeant Praxis to any SEAF vessels in range. Liberty's Promise City is completely overrun. All deployed Helldivers except myself have been neutralized or compromised. Requesting immediate reinforcement and extraction."

The transmission disappears into the void. Our Lady of Midnight responds, signal degraded by increasing singularity radiation:

"—reading you Praxis—radiation levels climbing—systems failing—maintaining position but—no reinforcements possible—cloning bay destroyed—radiation poisoning spreading through crew—Lieutenant Reeves still operational—prepping extraction craft—"

Lieutenant Kim's voice cuts through momentarily: "Radiation's fried our Hellpod launch systems, Praxis. We have one atmospheric craft remaining. Lieutenant Reeves can pilot it, but the radiation is affecting her too. We'll get you out, but every minute we maintain position is killing this ship."

[T-00:19:22] Fallen Helldiver detected in Liberty's Promise Central Plaza. Equipment scan: AC-8 Autocannon

[FRIENDLY KIA DETECTED] [IDENTITY: LT. JAMES DAVIS, 31ST BATTALION] [CAUSE OF DEATH: CATASTROPHIC NEURAL DISRUPTION] [TIME SINCE DEATH: 27 MINUTES] [EQUIPMENT: AC-8 AUTOCANNON – FUNCTIONAL]

Through swirling snow, visual enhancement identifies him beside Liberty's Promise's ceremonial fountain – now a grotesque ice sculpture depicting colonial triumph. His suit's thermal regulators continue drawing power, creating a small circle of melted snow around his position.

Equipment scan reveals intact AC-8 Autocannon still attached to hardpoint mount:

[WEAPON ASSESSMENT: AC-8 AUTOCANNON] [AMMUNITION: 100/100] [CONDITION: OPTIMAL] [AUTHORIZATION TRANSFER: AUTOMATIC] [WEIGHT: 24.3KG – MOBILITY IMPACT CALCULATED]

I kneel beside the fallen soldier, biometric scanner confirming complete neural cessation. My hand rests briefly on his shoulder plate, the gesture recorded by multiple cameras for posthumous honor transmission.

"Liberty remembers its defenders, Lieutenant."

The weapon disengages with a mechanical click, ownership protocols transferring to my combat profile:

[WEAPON ACQUIRED: AC-8 AUTOCANNON] [NEURAL LINK ESTABLISHED] [TARGETING CALIBRATION: AUTOMATIC] [WEIGHT COMPENSATION: SUIT HYDRAULICS ENGAGED] [MOBILITY REDUCTION: 18%]

[T-00:21:01] Illuminate Interloper fighter craft detected above Liberty's Promise financial district. AC-8 discharged.

[AERIAL THREAT DETECTED] [CLASSIFICATION: ILLUMINATE INTERLOPER] [ARMAMENT: ENERGY CANNONS CHARGING] [TARGETING STATUS: ACQUIRING YOU] [EVASIVE OPTIONS: LIMITED] [RECOMMENDED ACTION: PREEMPTIVE STRIKE]

The alien craft materializes through Liberty's Promise's snowstorm, its outline distorting visible light through gravitational manipulation. Targeting systems identify critical vulnerabilities despite atmospheric interference:

[TARGET ACQUISITION: INTERLOPER] [WEAK POINTS IDENTIFIED: PROPULSION MANIFOLD] [FIRING SOLUTION: CALCULATED] [WIND COMPENSATION: 27 KNOTS NNE] [VISIBILITY ADJUSTMENT: -63%] [MUSCLE EFFICIENCY: -34% LEFT ARM]

I brace the Autocannon against colonial infrastructure – once a public transportation shelter, now a firing position. Weapon stabilization systems engage automatically:

[WEAPON BRACED] [RECOIL COMPENSATION: ACTIVE] [SUIT ASSISTANCE: MAXIMUM] [NEURAL FIRING CONTROL: ENGAGED]

Fifteen hyperdense tungsten-alloy rounds tear through the craft's hull plating:

[ROUNDS EXPENDED: 15] [IMPACT ASSESSMENT: CRITICAL SYSTEMS DAMAGE] [PROPULSION CORE: COMPROMISED] [ENERGY BUILDUP: CATASTROPHIC] [TRAJECTORY: BALLISTIC – IMPACT IMMINENT]

The Interloper spirals downward, black smoke contrasting against white snow as it impacts Liberty's Promise's central administrative complex. Environmental sensors register the detonation metrics:

[EXPLOSION FORCE: 237 KG TNT EQUIVALENT] [FIREBALL RADIUS: 44M] [PRESSURE WAVE: 31 KPA AT CURRENT POSITION] [TEMPERATURE SPIKE: 1,432°F AT EPICENTER] [SNOW VAPORIZATION: 30M RADIUS]

[T-00:22:15] Multiple impacts from Illuminate weapons. Suit integrity: 81%

[INCOMING FIRE: MULTIPLE VECTORS] [EVASIVE ACTION: INEFFECTIVE] [IMPACT DETECTED: CHEST PLATE] [IMPACT DETECTED: RIGHT INTERCOSTAL] [IMPACT DETECTED: RIGHT ARM ACTUATOR]

Retaliatory fire arrives with mathematical predictability. Three energy weapon hits penetrate defensive perimeter:

[CHEST PLATE DAMAGE: SUPERFICIAL] [ARMOR ABLATION: 17%] [ENERGY DISSIPATION: SUCCESSFUL]

[INTERCOSTAL PENETRATION: 4.7CM] [TISSUE DAMAGE: MODERATE] [CAUTERIZATION: IMMEDIATE] [LUNG FUNCTION: 94%] [BLEEDING: MINIMAL – CONTAINED]

[RIGHT ARM IMPACT: SEVERE] [NEURAL CONNECTIONS: COMPROMISED] [MOTOR FUNCTION: REDUCED 38%] [PAIN LEVEL: EXTREME – SUPPRESSING]

Medical systems transition to emergency protocols:

[TRAUMA RESPONSE: INITIATED] [SYNTHETIC HEALING COMPOUNDS: INJECTED] [NEURAL DAMPENERS: ISOLATING DAMAGED PATHWAYS] [PAIN SUPPRESSION: MAXIMUM] [COMBAT STIMULANT: ADMINISTERED]

The familiar cold fire of battlefield medicine spreads through my system as pharmacological enhancement takes effect:

[COMBAT STIMULANT ACTIVE] [REACTION TIME: -23%] [VISUAL PROCESSING: +31%] [PAIN THRESHOLD: +287%] [COGNITIVE FUNCTION: ENHANCED] [DURATION: 17 MINUTES REMAINING]

Four distinct wounds cataloged and compartmentalized by the suit's diagnostic systems. Mobility reduced but combat effectiveness maintained through pharmaceutical intervention.

[T-00:25:37] Mind control pylon located in Liberty's Promise primary education center. Distance: 142 meters. Interference: Maximum

[PRIMARY OBJECTIVE LOCATED] [CLASSIFICATION: ILLUMINATE MIND CONTROL PYLON] [DISTANCE: 142M] [PSYCHIC FIELD STRENGTH: MAXIMUM] [ARCHITECTURAL ASSESSMENT: NON-EUCLIDEAN GEOMETRY] [LOCATION SIGNIFICANCE: FORMER CHILDREN'S EDUCATION CENTER]

Optical enhancement pierces the blizzard, revealing the primary objective – an abomination against physical reality itself. The Illuminate have transformed Liberty's Promise's primary school into a psychic broadcaster, its once-nurturing architecture now supporting a towering spire of impossible angles and non-Euclidean geometry.

Energy waves emanate in visible distortion patterns, each pulse correlating precisely with increased neural pain. Atmospheric sensors detect unusual properties:

[ATMOSPHERIC ANALYSIS: ABNORMAL] [LIGHT REFRACTION: NON-STANDARD ANGLES] [GRAVITY FLUCTUATIONS: MEASURABLE] [TEMPERATURE GRADIENT: INVERTED] [QUANTUM PARTICLE BEHAVIOR: ALTERED]

HUD systems fracture into incomprehensible patterns:

[SYSTEM ERROR: CATASTROPHIC] [VISUAL DISPLAY: COMPROMISED] [NEURAL INTERFACE: UNSTABLE] [SUIT FUNCTIONS: CASCADING FAILURE] [REBOOT ATTEMPTS: UNSUCCESSFUL]

Neural defense warnings bypass visual processing entirely, writing themselves directly into consciousness:

[EXTERNAL PSYCHIC PENETRATION: 74% STRENGTH] [COGNITIVE SHIELD FAILURE: IMMINENT] [MEMORY CORRUPTION: ACCELERATING] [PERSONALITY DISSOLUTION: T-MINUS 197 SECONDS] [COUNTERMEASURES: INSUFFICIENT]

A voice materializes within my mind, its alien cadence recognizable as Illuminate communication: "Your defensive algorithms contain fundamental errors, Dr. Praxis. We have identified precisely seventeen vulnerabilities in your neural architecture. Resistance promotes unnecessary suffering. The children of Liberty's Promise learned this lesson quickly."

[T-00:29:15] Visual distortions increasing exponentially. Heart rate: 188 BPM. Perspiration elevated 215%

[BIOLOGICAL SYSTEMS: EXTREME STRESS] [HEART RATE: 188 BPM] [BLOOD PRESSURE: 177/112] [PERSPIRATION: +215% BASELINE] [PUPIL DILATION: MAXIMUM] [TREMORS: DETECTABLE]

I force myself through Liberty's Promise's snow-choked streets, each step requiring conscious neural override of both environmental resistance and intensifying psychic influence. The suit's movement assistance system compensates for physiological deterioration:

[MUSCULAR EFFICIENCY: 63%] [HYDRAULIC ASSIST: MAXIMUM] [POWER CONSUMPTION: CRITICAL] [ESTIMATED OPERATIONAL WINDOW: REDUCED TO 2.3 HOURS]

Memory fragments detach and recombine with increasing frequency. Weapons calibration protocols interrupted by sensory hallucinations. Engineering formulas dissolve mid-calculation, replaced by alien mathematical concepts that simultaneously make perfect sense and no sense at all.

Another coordinated barrage from Illuminate positions positioned throughout Liberty's Promise:

[INCOMING FIRE: DETECTED] [EVASIVE MANEUVERS: INITIATED] [WARNING: REACTION TIME DEGRADED] [IMPACT PROBABILITY: 87%]

Three more impacts register with brutal efficiency:

[LEFT SHOULDER: GLANCING IMPACT] [TISSUE DAMAGE: MINOR] [ARMOR INTEGRITY: 92%]

[LOWER BACK: PENETRATING IMPACT] [SPINAL SUPPORT SYSTEMS: COMPROMISED] [TISSUE DAMAGE: MODERATE] [MOBILITY IMPACT: +12%]

[RIGHT THIGH: CRITICAL IMPACT] [FEMORAL PLATE: SEVERELY DAMAGED] [NEAR MISS: FEMORAL ARTERY] [TISSUE DAMAGE: SEVERE] [MOBILITY IMPACT: +25%]

Medical systems calculate insufficient resources for standard protocol:

[MEDICAL SUPPLIES: 37%] [STANDARD PROTOCOLS: INSUFFICIENT] [EMERGENCY TRIAGE: ENGAGED] [COMBAT STIMULANT: MAXIMUM DOSE AUTHORIZED]

The military-grade performance enhancers flood my system – a complex mixture of synthetic adrenaline analogs, cognitive enhancers, and pain suppressants specifically designed for catastrophic battlefield conditions:

[COMBAT STIMULANT ADMINISTERED] [DOSE: MAXIMUM SAFE THRESHOLD] [CARDIOVASCULAR BOOST: INITIATED] [NEURAL ACCELERATION: MAXIMUM] [PAIN SUPPRESSION: TOTAL] [WARNING: PHYSIOLOGICAL DAMAGE CONTINUING DESPITE SUBJECTIVE RELIEF]

Seven distinct wounds now accumulated. System functionality reduced to 59%. Mission continuity maintained solely through chemical intervention against biological imperatives.

[T-00:32:44] Direct engagement with pylon control systems. Engineering analysis initiated despite sustained psychic assault

[PROXIMITY ALERT: PYLON CENTER] [PSYCHIC FIELD: MAXIMUM INTENSITY] [NEURAL DISRUPTION: SEVERE] [SYSTEM FAILURES: MULTIPLE] [COGNITIVE FUNCTION: MAINTAINED THROUGH CHEMICAL OVERRIDE]

I stand beneath the pylon's central spire, its configuration violating physical laws I once considered immutable. The structure penetrates Liberty's Promise's school at precise intervals, targeting locations where developing minds once gathered.

Engineering analysis subroutines activate despite psychic interference:

[STRUCTURAL ANALYSIS: INITIATED] [POWER COUPLING NODES: 7 IDENTIFIED] [ARRANGEMENT: HEPTAGONAL PATTERN] [SECURITY SYSTEMS: BIOELECTRIC FIELD GENERATORS] [POWER SOURCE: CENTRAL CORE] [REDUNDANT CIRCUITS: TRIPLE-LAYERED] [BACKUP GENERATION: PRESENT BUT VULNERABLE] [WEAKNESS IDENTIFIED: CONCURRENT DISRUPTION REQUIRED]

I prime three fragmentation grenades, weapon systems automatically calculating optimal placement:

[GRENADES PRIMED: 3] [EXPLOSIVE YIELD: 187G RDX EQUIVALENT EACH] [PLACEMENT CALCULATION: TRIANGULATION PATTERN] [OPTIMAL SPACING: 4.7M BETWEEN DEVICES] [TIMING SEQUENCE: SYNCHRONIZED]

The Illuminate presence redoubles its assault on my neural architecture, recognizing the imminent threat. Psychic tendrils attempt to access motor control centers:

[WARNING: MOTOR CONTROL INTRUSION ATTEMPT] [CEREBELLUM PROTECTION: ENGAGED] [VOLUNTARY MOVEMENT: RESISTING OVERRIDE] [COUNTERMEASURES: DEGRADING] [NEURAL ISOLATION PROTOCOLS: FAILING]

[T-00:33:01] Multiple explosives deployed at structural weak points. Countdown initiated: 5 seconds

[GRENADES DEPLOYED: SUCCESSFUL] [POSITIONING: OPTIMAL] [COUNTDOWN: SYNCHRONIZED] [DETONATION: T-MINUS 5] [RECOMMENDED ACTION: WITHDRAW IMMEDIATELY]

I stagger away through Liberty's Promise's frozen pathways, biomonitor recording severe physiological stress:

[HEMOGLOBIN SATURATION: 84%] [BLOOD PRESSURE: 181/110] [RESPIRATORY RATE: 32 PER MINUTE] [CORE TEMPERATURE: 101.7°F DESPITE EXTERNAL COLD] [MUSCLE TREMORS: INCREASING]

The psychic presence tears free with almost physical sensation – like barbed neural hooks being forcibly extracted from gray matter. Blood vessels rupture in both eyes, crimson clouds obscuring 23% of visual field.

[T-00:33:06] Detonation confirmed. Pylon structural integrity: 0%. Mind control field: Dissipating

[DETONATION REGISTERED] [EXPLOSIVE FORCE: SYNCHRONIZED] [BLAST RADIUS: 27M] [STRUCTURAL DAMAGE: CRITICAL] [PYLON INTEGRITY: CATASTROPHIC FAILURE] [PSYCHIC FIELD: COLLAPSING]

The explosions transform Liberty's Promise's skyline, primary blast waves converting accumulated snow to superheated steam. Visibility temporarily improves across a 70-meter radius as precipitation molecules undergo flash vaporization.

Secondary fragmentation patterns spread in calculated vectors, maximum dispersal achieving 87% coverage of target area. Several shards penetrate my already compromised armor:

[IMPACT DETECTED: LOWER BACK] [PENETRATION: 3.7CM] [SPINAL PROXIMITY: 0.8CM] [BLEEDING: MODERATE] [PAIN SIGNALS: BLOCKED BY STIMULANTS]

Eight distinct wounds now cataloged. System functionality reduced to 51%. Combat effectiveness maintained solely through pharmaceutical override of natural biological limitations.

The sudden absence of psychic pressure creates disorienting cognitive vacuum – neural pathways accustomed to resisting suddenly encountering no opposition. The mental equivalent of pushing against a door that unexpectedly opens.

HUD systems reboot sequentially:

[SYSTEM REBOOT: INITIATED] [DIAGNOSTIC PROCESSING…] [PRIMARY SYSTEMS: RESTORED] [SECONDARY SYSTEMS: 73% FUNCTIONALITY] [TERTIARY SYSTEMS: 41% FUNCTIONALITY] [SUIT POWER: 61% REMAINING]

Liberty's Promise City resolves into its actual state – a frozen necropolis momentarily illuminated by the pylon's catastrophic failure, shadows dancing across buildings as alien technology collapses.

[T-00:35:22] HUD objective update: [PRIMARY: COMPLETE] [SECONDARY: FAILED] [TERTIARY: INCOMPLETE]

[MISSION UPDATE] [PRIMARY OBJECTIVE: COMPLETED – PYLON DESTROYED] [SECONDARY OBJECTIVE: FAILED – ALL HELLDIVERS KIA] [TERTIARY OBJECTIVE: INCOMPLETE – FLAG NOT DEPLOYED] [RECOMMENDED ACTION: PROCEED WITH TERTIARY]

Tactical assessment confirms total loss of allied forces. Seven Helldivers confirmed KIA within visual range of current position. Four eliminated by friendly fire during mind control episodes, neural structures unable to withstand Illuminate manipulation. Three by direct enemy action. All abandoned by command vessels that chose withdrawal over engagement.

Liberty's Promise requires symbolic reclamation. Democracy must be physically manifested despite tactical disadvantage.

[T-00:37:50] Super Earth flag located in Liberty's Promise municipal building debris. Flag integrity: Functional

[OBJECT LOCATED: SUPER EARTH FLAG] [POSITION: MUNICIPAL BUILDING RUINS] [CONDITION: FUNCTIONAL] [SYMBOLIC VALUE: MAXIMUM] [TACTICAL VALUE: TERRITORIAL CLAIM]

I recover the standard from the frozen grip of Communications Specialist Rivera, her facial features preserved in crystalline detail by flash-freezing. Biometric confirmation:

[DECEASED HELLDIVER IDENTIFIED] [NAME: SPECIALIST ELENA RIVERA] [UNIT: 31ST BATTALION, COMMUNICATIONS DIVISION] [TIME OF DEATH: APPROXIMATELY 47 MINUTES AGO] [CAUSE: EXTREME CEREBRAL HEMORRHAGING CONSISTENT WITH PSYCHIC ASSAULT]

Her fingers maintain death-grip on the chrome pole, requiring careful separation. Rigor mortis enhanced by flash-freezing of biological tissues.

Every movement sends fresh waves of agony through my eight wound channels, registered by the suit but suppressed from conscious awareness:

[PAIN LEVELS: EXTREME – SUPPRESSED] [MOBILITY: 47% OF BASELINE] [BLOOD LOSS: MODERATE – CONTAINED] [STIMULANT LEVELS: DECREASING] [ESTIMATED COMBAT EFFECTIVENESS: 53%]

Medical systems issue comprehensive diagnostic warning:

[PHYSIOLOGICAL ASSESSMENT] [RIB FRACTURES: 3 (7-9, RIGHT SIDE)] [CONCUSSION: MILD (OCCIPITAL IMPACT, 11G FORCE)] [PSYCHIC TRAUMA: SIGNIFICANT (FRONTAL LOBE, HIPPOCAMPUS, AMYGDALA)] [HEMORRHAGE: CLASS II] [CORE TEMPERATURE: 96.1°F – HYPOTHERMIA RISK]

Commander Vega's voice materializes through static: "—reading you Praxis—pylon destruction confirmed—radiation exposure critical—ship systems failing—Lieutenant Reeves prepping extraction craft—Lieutenant Kim mapping safe approach vector—"

I prepare the flag assembly at Liberty's Promise's central plaza – once the vibrant heart of colonial life, now a frozen battlefield. The servo-assisted deployment mechanism functions despite extreme conditions:

[FLAG DEPLOYMENT SYSTEM: OPERATIONAL] [SERVO MOTORS: FUNCTIONAL DESPITE COLD] [POWER CELLS: 82%] [EXPECTED DEPLOYMENT TIME: 60 SECONDS] [SYMBOLIC IMPORTANCE: MAXIMUM]

[T-00:41:15] Flag deployment zone reached. Liberty's Promise city center coordinates optimal for territorial claim

[DEPLOYMENT ZONE REACHED] [POSITIONING: OPTIMAL] [VISIBILITY: MAXIMUM DESPITE ENVIRONMENTAL CONDITIONS] [TERRITORIAL SIGNIFICANCE: HIGH] [DEPLOYMENT SEQUENCE: INITIATED]

As deployment sequence initializes, sensor array detects massive convergence patterns:

[PROXIMITY ALERT: MULTIPLE VECTORS] [Voteless SIGNATURES: HUNDREDS] [APPROACH SPEED: 8.3 M/S – EXCEEDS HUMAN CAPABILITY] [FORMATION: COORDINATED ASSAULT] [ILLUMINATE CONTROLLERS: DETECTED ON ELEVATED POSITIONS] [ESTIMATED TIME TO CONTACT: 37 SECONDS]

Thermal imaging reveals hundreds of heat signatures approaching simultaneously through Liberty's Promise's radial street pattern:

[THERMAL SIGNATURES: 300+] [TEMPERATURE DIFFERENTIAL: MINIMAL (+4°F ABOVE AMBIENT)] [MOVEMENT PATTERN: UNNATURAL FLUIDITY] [COORDINATION: INHUMAN PRECISION] [TACTICAL ASSESSMENT: OVERWHELMING FORCE]

The loss of the control pylon has transitioned Illuminate strategy from mental domination to physical elimination through overwhelming numbers.

[T-00:42:01] Flag deployment begins automatically. 60-second sequence initiated

[FLAG DEPLOYMENT: INITIATED] [PROGRESS: 1%] [TIME REMAINING: 59 SECONDS] [DEFENSE REQUIRED: IMMEDIATE] [WEAPON SELECTION: AR-23 LIBERATOR]

They emerge from Liberty's Promise's snow-clouded avenues as the flag begins its ascent—former citizens converging with single-minded purpose:

[Voteless IDENTIFIED: FORMER COLONISTS] [AGE RANGE: 7-93 YEARS] [FORMER PROFESSIONS: VARIED – COMPLETE SOCIETAL CROSS-SECTION] [MOVEMENT PATTERN: SYNCHRONIZED] [CONTROL SOURCE: ILLUMINATE CONTROLLERS POSITIONED ON ROOFTOPS]

Behind them, Illuminate controllers direct the assault with mathematical precision from elevated positions throughout Liberty's Promise, compensating for the loss of direct mental control with coordinated tactical deployment.

The Liberator responds with disciplined three-round bursts:

[WEAPON FIRING: AR-23 LIBERATOR] [MODE: 3-ROUND BURST] [TARGETING: NEURAL CLUSTERS] [AMMUNITION CONSERVATION: PRIORITY] [ROUNDS REMAINING: 273/405]

Each trigger activation results in precise neural disruption of Voteless targets:

[TARGET NEUTRALIZED: FORMER COLONIAL ADMINISTRATOR] [TARGET NEUTRALIZED: FORMER MAINTENANCE TECHNICIAN] [TARGET NEUTRALIZED: FORMER CHILD – AGE ESTIMATE 9]

The ethical subroutine registers momentary conflict before tactical override engages. These are no longer human. They are weapons aimed at Liberty's Promise's reclamation.

[T-00:42:37] Liberator ammunition depleted. Switching to AC-8 Autocannon

[MAGAZINE EMPTY: AR-23 LIBERATOR] [RELOAD TIME: NOT VIABLE] [SWITCHING WEAPONS: AC-8 AUTOCANNON] [WEIGHT TRANSFER: COMPENSATING] [MOBILITY IMPACT: SIGNIFICANT]

The Autocannon's substantial mass strains compromised musculature, each movement sending fresh pain signals that medical systems struggle to suppress:

[PAIN SUPPRESSION: 87% EFFECTIVE] [MUSCLE EFFICIENCY: 41% OF BASELINE] [HYDRAULIC ASSIST: MAXIMUM] [POWER CONSUMPTION: ACCELERATED] [ESTIMATED OPERATIONAL WINDOW: DECREASED TO 1.8 HOURS]

I establish defensible position beneath the rising flag, using Liberty's Promise's urban infrastructure for cover:

[POSITION ESTABLISHED: MUNICIPAL PLAZA FOUNTAIN] [COVER QUALITY: MODERATE] [FIELDS OF FIRE: 270°] [MOBILITY: LIMITED] [DEFENSIBILITY: 63%]

Firing solution algorithms optimize ammunition expenditure against target density:

[FIRING SOLUTION: CALCULATED] [TARGET DENSITY: EXTREME] [AMMUNITION CONSERVATION: MINIMAL CONCERN] [RECOMMENDED PATTERN: SWEEPING FIRE] [ACCEPTABLE COLLATERAL DAMAGE: 100%]

The AC-8 roars to life, its recoil managed by suit hydraulics:

[AC-8 AUTOCANNON: FIRING] [RECOIL FORCE: 24.7KG PER ROUND] [SUIT COMPENSATION: 73% EFFECTIVE] [SKELETAL STRESS: MODERATE] [MUSCLE STRAIN: SEVERE – CHEMICAL SUPPRESSION ACTIVE]

The Voteless fall in geometrically precise rows around Liberty's Promise's central plaza, their bodies creating concentric circles of the dead.

[FLAG DEPLOYMENT PROGRESS: 43%] [TIME REMAINING: 34 SECONDS] [THREAT DENSITY: STILL INCREASING] [AMMUNITION: AC-8 DEPLETING] [ROUNDS REMAINING: 64/100]

[T-00:43:12] Second Illuminate Interloper fighter detected above Liberty's Promise commercial district. Range: 63 meters. Descent trajectory: Attack pattern

[AERIAL THREAT DETECTED] [CLASSIFICATION: ILLUMINATE INTERLOPER] [RANGE: 63M AND CLOSING] [WEAPONS: CHARGING] [TARGETING: CONFIRMED – YOUR POSITION] [DEFENSIVE OPTIONS: LIMITED]

Another fighter craft materializes through Liberty's Promise's snowstorm, energy signatures indicating weapons cycling to critical charge. Targeting systems locked on my position with inhuman precision.

Ammunition status critical:

[AC-8 AUTOCANNON: DEPLETED] [AR-23 LIBERATOR: EMPTY] [AVAILABLE WEAPON: P-19 REDEEMER] [TACTICAL ASSESSMENT: INADEQUATE] [SURVIVAL PROBABILITY: 17%]

I draw the P-19 Redeemer—a pragmatic acknowledgment of tactical desperation:

[WEAPON READY: P-19 REDEEMER] [AMMUNITION: 31/124] [EFFECTIVE RANGE: 37M] [TARGET RANGE: 63M] [PROBABILITY OF EFFECT: 12%]

Knowledge of propulsion system vulnerabilities guides targeting solution toward theoretical weakness identified during weapons development:

[TARGETING: GRAVITATIONAL STABILIZER] [LOCATION: VENTRAL PORT NACELLE] [VULNERABLE COMPONENT: COOLING SYSTEM] [REQUIRED PRECISION: EXTREME] [ASSISTANCE: SUIT TARGETING ENHANCEMENT ENGAGED]

[T-00:43:20] P-19 Redeemer discharged. Three consecutive bursts at maximum effective range. Impact confirmed: Minimal effect

[ROUNDS FIRED: 9] [IMPACTS: 7] [DAMAGE ASSESSMENT: MINIMAL] [PENETRATION: INSUFFICIENT] [CRAFT STATUS: UNDETERRED]

The Interloper continues its attack vector through Liberty's Promise's urban canyon, weapons systems charging to lethal capacity:

[FLAG DEPLOYMENT PROGRESS: 83%] [TIME REMAINING: 10 SECONDS] [INCOMING ATTACK: IMMINENT] [DEFENSIVE OPTIONS: EXHAUSTED] [SURVIVAL PROBABILITY: DECREASING]

[T-00:43:42] Stratagem beacon activated. Request: Gatling emplacement

[STRATAGEM SELECTED: GATLING EMPLACEMENT] [CODE SEQUENCE: DOWN-UP-RIGHT-RIGHT-UP] [NEURAL TRANSMISSION: ENGAGED] [TARGETING COORDINATES: TRANSMITTED] [REQUEST STATUS: ACCEPTED]

My fingers execute the stratagem code with autonomic precision despite neural damage. The beacon launches skyward from Liberty's Promise's central plaza, target coordinates locked to optimal defensive position.

Commander Vega confirms: "Stratagem authorized—Liberty's Promise coordinates confirmed—Gatling deployment in 3…2…1—"

[T-00:43:57] Hellpod impact in Liberty's Promise central plaza. Gatling emplacement deployed

[HELLPOD IMPACT: CONFIRMED] [DEPLOYMENT: SUCCESSFUL] [SYSTEM INITIALIZATION: AUTOMATIC] [TARGETING: ACQUISITION IN PROGRESS] [PRIORITY TARGET: ILLUMINATE INTERLOPER]

The automated weapon system initializes with mechanical efficiency, its deployment temporarily clearing the immediate area of Voteless through kinetic impact alone:

[GATLING OPERATIONAL] [RATE OF FIRE: 6,000 RPM] [AMMUNITION: 12,000 ROUNDS] [BARREL ROTATION: OPTIMAL] [TARGETING: ACQUIRED]

Armor-piercing rounds tear through the Interloper's hull with systematic precision:

[IMPACTS REGISTERED: MULTIPLE] [PENETRATION: SUCCESSFUL] [CRITICAL SYSTEMS: COMPROMISED] [ENERGY CONTAINMENT: FAILING] [DETONATION: IMMINENT]

The craft shudders under the assault before primary power containment fails catastrophically. Sensors register the explosion parameters:

[DETONATION ENERGY: 312KG TNT EQUIVALENT] [BLAST RADIUS: 73M] [FIREBALL TEMPERATURE: 2,700°F] [STRUCTURAL DAMAGE: SIGNIFICANT TO SURROUNDING BUILDINGS] [Voteless CASUALTIES: 47 TERMINATED IN BLAST]

Flag deployment reaches completion:

[FLAG DEPLOYMENT: 100% COMPLETE] [SUPER EARTH BANNER: FULLY EXTENDED] [TERRITORIAL CLAIM: ESTABLISHED] [SYMBOLIC OBJECTIVE: ACHIEVED] [DEMOCRACY: MANIFESTED]

The standard stands fully extended above Liberty's Promise City, reclaiming the colony symbolically if not practically.

[T-00:44:15] Coordinated Illuminate counterattack. Multiple weapons converge on position. Suit integrity: 43%

[INCOMING FIRE: MULTIPLE SOURCES] [EVASIVE ACTION: NOT POSSIBLE] [DEFENSIVE POSITION: COMPROMISED] [IMPACT IMMINENT: CALCULATING VECTORS]

Three more energy weapon impacts converge simultaneously from different positions throughout Liberty's Promise:

[IMPACT: LEFT ARM] [PENETRATION: COMPLETE] [NEURAL CONNECTIONS: SEVERED] [FUNCTIONALITY: 0%] [ARM STATUS: INERT]

Suit seals breaches automatically, but damage assessment is terminal for the limb:

[SUIT INTEGRITY: 43%] [AUTOMATIC SEALING: ENGAGED] [MEDICAL INTERVENTION: INSUFFICIENT] [REGENERATION PROTOCOLS: EXCEEDED] [FUNCTIONALITY LOSS: PERMANENT WITHOUT SURGICAL INTERVENTION]

Eleven distinct wound channels now documented in the suit's medical log. Blood loss reaching critical thresholds:

[BLOOD VOLUME: 73% OF NORMAL] [PRESSURE: 97/64 – STABILIZING THROUGH CHEMICAL INTERVENTION] [TRANSFUSION RECOMMENDED: NOT AVAILABLE] [SYNTHETIC BLOOD SUBSTITUTE: DEPLETED] [STIMULANT COMPENSATION: MAXIMUM]

Core temperature continues declining despite thermal regulatory systems:

[CORE TEMPERATURE: 95.3°F] [HYPOTHERMIA: EARLY STAGE] [THERMAL REGULATION: MAXIMUM OUTPUT] [POWER CONSUMPTION: CRITICAL] [ESTIMATED SYSTEM FAILURE: 74 MINUTES]

The Voteless advance continues unabated throughout Liberty's Promise, their numbers seemingly infinite. The entire former population mobilized against a single defender.

[T-00:45:01] Stratagem beacon activated. Request: 500 Kiloton Bomb

[STRATAGEM SELECTED: 500 KILOTON BOMB] [YIELD: 500KT CONVENTIONAL EXPLOSIVE] [CODE SEQUENCE: UP-RIGHT-DOWN-DOWN-DOWN] [NEURAL TRANSMISSION: ENGAGED] [TARGETING COORDINATES: CURRENT POSITION] [WARNING: MINIMUM SAFE DISTANCE REQUIRED]

My functioning arm executes the stratagem sequence with practiced efficiency despite degraded neural transmission. The beacon launches skyward from Liberty's Promise's central plaza, penetrating the snowstorm toward Our Lady of Midnight.

Lieutenant Kim's voice cuts through interference: "500 kiloton deployment confirmed—Liberty's Promise target locked—detonation in 15 seconds—RUN, Praxis!"

[T-00:45:08] Stratagem accepted. Orbital bombardment inbound. Detonation in: 15 seconds

[ORBITAL BOMBARDMENT: INBOUND] [TARGET: LIBERTY'S PROMISE CENTRAL PLAZA] [DETONATION: T-MINUS 15 SECONDS] [MINIMUM SAFE DISTANCE: 800M] [CURRENT DISTANCE: 0M] [SURVIVAL PROBABILITY: 0% WITHOUT IMMEDIATE EVACUATION]

I force my body through Liberty's Promise's snow-choked streets, each step requiring neural override of multiple system failure warnings:

[MOBILITY: 31% OF BASELINE] [SPEED: 3.7 M/S – WELL BELOW OPTIMAL] [DISTANCE COVERED: CALCULATING…] [SAFE RADIUS PROBABILITY: CALCULATING…] [FATALITY RISK: EXTREME]

Suit administers final reserves of performance enhancers:

[EMERGENCY RESERVES: ACCESSED] [STIMULANT COCKTAIL: DEPLOYED] [CONCENTRATION: BEYOND SAFE PARAMETERS] [CARDIOVASCULAR RISK: SEVERE] [NEUROLOGICAL RISK: SEVERE] [JUSTIFICATION: SURVIVAL PRIORITY EXCEEDS MEDICAL SAFETY PROTOCOLS]

The chemical flood creates momentary superhuman capability:

[STIMULANT EFFECT: IMMEDIATE] [STRENGTH BOOST: +73% BASELINE] [SPEED BOOST: +81% BASELINE] [PAIN SUPPRESSION: TOTAL] [COGNITIVE ENHANCEMENT: MAXIMUM] [DURATION: LIMITED – PHYSIOLOGICAL BURNOUT IMMINENT]

[T-00:45:23] Minimum safe distance achieved: 1.2 seconds before detonation

[DISTANCE FROM EPICENTER: 803M] [MINIMUM SAFE DISTANCE: 800M] [MARGIN OF SAFETY: MINIMAL] [DEFENSIVE POSITION: INADEQUATE] [RECOMMENDATION: PRONE POSITION, HEAD COVERED]

The detonation wave lifts me bodily from Liberty's Promise's snow-covered streets, hurling me against reinforced infrastructure with physics-defying force:

[G-FORCE EXPERIENCED: 7.3G] [ACCELERATION: NON-SURVIVABLE WITHOUT SUIT PROTECTION] [IMPACT ENERGY: EXCEEDS SUIT ABSORPTION CAPACITY] [SKELETAL STRESS: EXTREME] [INTERNAL ORGAN DISPLACEMENT: SIGNIFICANT]

Suit sensors record the detonation metrics with scientific precision:

[DETONATION YIELD: 500KT] [FIREBALL RADIUS: 0.67KM] [BLAST WAVE VELOCITY: 2,400 M/S] [TEMPERATURE AT EPICENTER: 2,700°F] [INFRASTRUCTURE DESTRUCTION: TOTAL WITHIN 0.5KM] [Voteless TERMINATED: ESTIMATED 3,000+]

The conventional explosive's mushroom cloud rises through Liberty's Promise's skyline—momentarily clearing a perfect circle of visibility. The snow around the blast zone vaporizes instantly, revealing frozen permafrost beneath.

Internal sensors record additional trauma:

[IMPACT DAMAGE: MULTIPLE] [RIB FRACTURES: 2 ADDITIONAL] [SHOULDER DISLOCATION: RIGHT] [SPINAL COMPRESSION: MODERATE] [CEREBRAL ACCELERATION: SUB-CONCUSSIVE] [MEDICAL ALERT: INJURIES NON-CRITICAL BUT ACCUMULATING]

[T-00:46:40] Visual confirmation: Flag remains standing despite blast

[VISUAL ACQUISITION: SUPER EARTH FLAG] [STATUS: INTACT DESPITE BLAST WAVE] [MATERIAL INTEGRITY: MAINTAINED] [POSITION: UPRIGHT] [SYMBOLIC SIGNIFICANCE: MAXIMUM]

The standard endures above Liberty's Promise—fabricated from materials I personally helped engineer during my time in weapons development:

[FLAG MATERIAL SPECIFICATIONS] [COMPOSITION: REINFORCED CARBON-TITANIUM WEAVE] [HEAT RESISTANCE: 3,000°F] [TENSILE STRENGTH: 7,200 PSI] [RADIATION SHIELDING: BUILT-IN] [SYMBOLIC REINFORCEMENT: DEMOCRACY ENDURES]

[T-00:49:15] Movement detected throughout Liberty's Promise's remaining structures. Pursuit force. Voteless reinforcements: 300+ signatures

[PROXIMITY ALERT: MULTIPLE VECTORS] [SIGNATURES DETECTED: 300+] [CLASSIFICATION: Voteless] [DISTANCE: VARIED – NEAREST 147M] [APPROACH SPEED: 8.7 M/S] [BEHAVIORAL ASSESSMENT: INCREASED AGGRESSION]

They emerge from Liberty's Promise's white void once more. Illuminate controllers having withdrawn to safe operational distance, still directing their biological weapons with inhuman precision from surviving high-rise structures.

Physiological systems approach terminal failure parameters:

[PHYSIOLOGICAL STATUS: CRITICAL] [WOUNDS: 11 DISTINCT TRAUMA SITES] [BLOOD VOLUME: 68% OF BASELINE] [OXYGEN SATURATION: 91%] [CORE TEMPERATURE: 94.7°F] [STIMULANT LEVELS: TOXIC BUT NECESSARY]

Cognitive processes maintained solely through pharmaceutical override of biological limitations:

[COGNITIVE FUNCTION: MAINTAINED] [DECISION-MAKING: INTACT] [TACTICAL AWARENESS: FUNCTIONAL] [PAIN PERCEPTION: CHEMICALLY SUPPRESSED] [SURVIVAL INSTINCT: DOMINANT]

P-19 Redeemer clutched in functioning hand:

[WEAPON STATUS: P-19 REDEEMER] [AMMUNITION: 22/124] [EFFECTIVE RANGE: 37M] [FIRING MODE: SEMI-AUTOMATIC FOR CONSERVATION] [TARGETING: MAXIMUM PRECISION REQUIRED]

[T-00:53:22] Incoming transmission detected. Source: "Our Lady of Midnight"

[TRANSMISSION DETECTED] [SOURCE: OUR LADY OF MIDNIGHT] [SIGNAL INTEGRITY: 27%] [RADIATION INTERFERENCE: SEVERE] [DECRYPTION: AUTOMATIC]

Commander Vega's voice materializes through static storms: "Praxis—ship status critical—radiation levels beyond survivable parameters—Lieutenant Reeves prepping final extraction—northeastern evacuation zone—coordinates uploading—emergency package deployed—this is our last shot—"

Lieutenant Kim adds: "Half the crew showing radiation sickness already—Reeves is symptomatic but still operational—we're deploying everything we have left—get to those coordinates—"

[T-00:54:01] Stratagem impact at Liberty's Promise northeastern evacuation zone: Resupply package. Contents: AMMUNITION + MEDICAL

[STRATAGEM IMPACT DETECTED] [LOCATION: NORTHEASTERN EVACUATION ZONE] [CLASSIFICATION: RESUPPLY PACKAGE] [CONTENTS: AMMUNITION + ADVANCED MEDICAL] [DISTANCE: 173M] [ROUTE: CALCULATING OPTIMAL PATH]

The Hellpod impacts near Liberty's Promise's designated evacuation point, its contents representing potential survival:

[SURVIVAL PROBABILITY: INCREASED TO 37%] [OBJECTIVE: REACH PACKAGE] [OBSTACLES: Voteless CONCENTRATION] [MOBILITY: SEVERELY COMPROMISED] [AMMUNITION: CRITICALLY LOW]

Tactical movement algorithms calculate optimal route through Liberty's Promise's urban battleground:

[ROUTE CALCULATED] [DISTANCE: 173M] [ESTIMATED TIME: 46 SECONDS AT CURRENT MOBILITY] [COVER POINTS: IDENTIFIED] [CHOKE POINTS: FLAGGED] [Voteless DENSITY: HIGHEST ALONG CENTRAL AVENUE]

I execute precision movement through snow-choked terrain, each step precisely calculated despite physiological deterioration:

[MOVEMENT MODE: TACTICAL ADVANCE] [COVER UTILIZATION: MAXIMUM] [NOISE DISCIPLINE: OPTIMAL] [VISIBILITY: MINIMIZED] [ENERGY EXPENDITURE: PRECISELY MANAGED]

Three Voteless intercept path. The Redeemer responds with mathematical precision:

[TARGETS ACQUIRED: 3] [DISTANCE: 23M] [FIRING SOLUTION: CALCULATED] [ROUNDS EXPENDED: 3] [NEURAL DISRUPTION: CONFIRMED] [AMMUNITION REMAINING: 19/124]

I reach the resupply package, medical systems immediately integrating with suit infrastructure:

[PACKAGE ACCESSED] [AMMUNITION TRANSFER: AUTOMATIC] [AR-23 LIBERATOR: RELOADED 405/405] [P-19 REDEEMER: RELOADED 124/124] [MEDICAL PACKAGE: IDENTIFIED]

The combat medical package connects directly to central venous access point:

[MEDICAL INJECTION: INITIATED] [CLASSIFICATION: MILITARY-GRADE BATTLE RESTORATION] [CONTENTS: NANITE HEALING SWARM + SYNTHETIC BLOOD + COMBAT STIMULANTS] [DELIVERY: INTRAVENOUS] [EFFECT: IMMEDIATE AND PROFOUND]

Effects manifest throughout physiological systems:

[TISSUE REGENERATION: ACCELERATED 400%] [PAIN SUPPRESSION: EXCEEDING NORMAL PARAMETERS BY 250%] [NEURAL FUNCTION: ENHANCED BEYOND HUMAN BASELINE BY 173%] [BLOOD VOLUME: RESTORING THROUGH SYNTHETIC REPLACEMENT] [COGNITIVE FUNCTION: HYPER-ACCELERATED]

The eleven wound channels begin reconstructive processes using military-grade medical nanotechnology:

[NANITE SWARM: DEPLOYED] [TARGETING: WOUND CHANNELS] [FUNCTION: ACCELERATED HEALING] [DEBRIS REMOVAL: ACTIVE] [INFECTION PREVENTION: 100%] [SCAR FORMATION: MINIMIZED]

[T-00:55:40] Extraction zone identified. Distance: 340 meters across Liberty's Promise's northern district. Terrain: Urban ruins covered in deep snow

[EXTRACTION ZONE IDENTIFIED] [COORDINATES: LIBERTY'S PROMISE SPACEPORT] [DISTANCE: 340M] [TERRAIN: URBAN RUINS + DEEP SNOW] [Voteless CONCENTRATION: EXTREME] [ROUTE CALCULATION: INITIATED]

Our Lady of Midnight transmits: "Extraction craft preparing—Lieutenant Reeves still conscious—ETA 9 minutes—we've lost engineering deck to radiation—life support failing—this is our final—repeat FINAL—operation—"

Each step calculated for maximum efficiency through Liberty's Promise's frozen battlefield:

[MOVEMENT EFFICIENCY: OPTIMIZED] [ENERGY CONSERVATION: PRIORITY] [COVER UTILIZATION: CONTINUOUS] [THREAT ASSESSMENT: CONSTANT] [WEAPON READY: AR-23 LIBERATOR]

The Liberator creates precision defensive patterns that exploit Liberty's Promise's urban architecture:

[FIRING SOLUTION: CALCULATED] [TARGETING: NEURAL CLUSTERS] [AMMUNITION EXPENDITURE: CONTROLLED] [KILL EFFICIENCY: 97.3%] [ROUNDS REMAINING: 378/405]

The Voteless fall in geometrically satisfying configurations, their frozen corpses forming tactical cover positions that I exploit systematically as I traverse Liberty's Promise.

The advanced battlefield pharmaceuticals create cognitive enhancement exceeding human capability:

[COGNITIVE ENHANCEMENT: EXTREME] [TIME PERCEPTION: SLOWED 40%] [VISUAL PROCESSING: HYPER-DETAILED] [ENVIRONMENTAL AWARENESS: TOTAL] [THREAT IDENTIFICATION: INSTANTANEOUS] [FIRING SOLUTION CALCULATION: ACCELERATED]

[T-01:02:14] Extraction zone reached at Liberty's Promise spaceport facility. Tactical assessment: Initially clear

[DESTINATION REACHED: LIBERTY'S PROMISE SPACEPORT] [AREA ASSESSMENT: TEMPORARILY CLEAR] [Voteless ACTIVITY: CONCENTRATED ELSEWHERE] [DEFENSIVE POTENTIAL: MODERATE] [EXTRACTION ETA: 2 MINUTES 17 SECONDS]

Tactical experience dictates caution despite apparent security. Stratagem beacons deployed in optimized defensive configuration:

[STRATAGEM DEPLOYED: GATLING EMPLACEMENT] [POSITION: MAXIMUM COVERAGE OF APPROACH VECTORS] [FIELD OF FIRE: 270°] [AMMUNITION: 12,000 ROUNDS] [TARGETING: AUTONOMOUS]

[STRATAGEM DEPLOYED: ANTI-PERSONNEL MINES] [ARRANGEMENT: OVERLAPPING DETONATION ZONES] [COVERAGE: ALL SECONDARY APPROACHES] [QUANTITY: 24 DEVICES] [TRIGGER SENSITIVITY: MAXIMUM]

[STRATAGEM DEPLOYED: STATIC FIELD] [GENERATOR POSITION: OPTIMAL] [COVERAGE RADIUS: 50M] [EFFECT: MOVEMENT REDUCTION 42%] [POWER: MAXIMUM]

From orbit, Our Lady of Midnight transmits final approach data:

[TRANSMISSION RECEIVED] [SOURCE: OUR LADY OF MIDNIGHT] [EXTRACTION CRAFT: EN ROUTE] [PILOT: LT. REEVES] [STATUS: RADIATION SICKNESS STAGE 2] [DETERMINATION: MAXIMUM] [ETA: 1 MINUTE 43 SECONDS]

Commander Vega's final transmission: "Ship breaking apart—reactor containment failing—Reeves is our last operational pilot—radiation has—everyone else—doing this on stimulants and willpower—get on that craft—complete the mission—democracy must—"

The transmission dissolves into unintelligible static. Radiation has claimed Our Lady of Midnight's communication systems.

[T-01:03:35] Multiple subterranean access points detected throughout Liberty's Promise spaceport. Voteless emerging: All sectors

[PROXIMITY ALERT: MASSIVE MOVEMENT] [SUBTERRANEAN ACCESS: MULTIPLE POINTS ACTIVATING] [Voteless EMERGENCE: SIMULTANEOUS] [QUANTITY: BEYOND COUNTING CAPACITY] [COORDINATION: PERFECT] [TACTICAL ASSESSMENT: OVERWHELMING FORCE]

They emerge simultaneously from all vectors within Liberty's Promise's spaceport facility—maintenance tunnels, collapsed infrastructure, ventilation systems. Illuminate tactical brilliance on display as they spring the perfect ambush.

Defensive systems engage automatically throughout Liberty's Promise's extraction zone:

[GATLING EMPLACEMENT: ACTIVATED] [FIRING RATE: 6,000 RPM] [TARGETING: HIGHEST CONCENTRATION AREAS] [AMMUNITION EXPENDITURE: RAPID] [EFFECTIVENESS: HIGH BUT INSUFFICIENT]

[ANTI-PERSONNEL MINES: DETONATING] [PATTERN: SEQUENTIAL AS TRIGGERED] [CASUALTIES: NUMEROUS] [EFFECT: TEMPORARY CHANNELIZATION OF ENEMY MOVEMENT] [LIMITATION: RAPIDLY DEPLETING]

[STATIC FIELD: OPERATIONAL] [EFFECT: Voteless MOVEMENT -42%] [COVERAGE: 50M RADIUS] [LIMITATION: SLOWING BUT NOT STOPPING ADVANCE] [ASSESSMENT: BUYING TIME ONLY]

Analysis confirms defensive inadequacy:

[DEFENSIVE ASSESSMENT: INSUFFICIENT] [ENEMY NUMBERS: EXCEEDING DEFENSIVE CAPACITY BY 317%] [AMMUNITION EXPENDITURE: UNSUSTAINABLE] [PERIMETER BREACH: INEVITABLE] [EXTRACTION WINDOW: NARROWING]

[T-01:04:12] Full defensive engagement. Liberator discharged continuously throughout Liberty's Promise extraction zone

[WEAPON STATUS: AR-23 LIBERATOR] [FIRING MODE: FULL AUTO] [RATE OF FIRE: MAXIMUM] [TARGETING: PRIORITY THREATS] [AMMUNITION CONSERVATION: DEPRIORITIZED]

The weapon's thermal signature exceeds design parameters:

[BARREL TEMPERATURE: 742°F] [COOLING SYSTEM: OVERWHELMED] [FEED MECHANISM: STRESS INDICATORS] [FAILURE PROBABILITY: INCREASING WITH SUSTAINED FIRE] [AMMUNITION REMAINING: 217/405]

The combat pharmaceuticals reach maximum saturation:

[STIMULANT LEVELS: MAXIMUM SATURATION] [PERCEPTION ALTERATION: EXTREME] [TIME DILATION: SUBJECTIVE 40% SLOWDOWN] [COGNITIVE PROCESSING: HYPER-ACCELERATED] [MOTOR CONTROL: ENHANCED BEYOND HUMAN CAPABILITY]

[T-01:05:01] "Our Lady of Midnight" extraction craft detected on approach to Liberty's Promise spaceport

[AERIAL CONTACT: IDENTIFIED] [CLASSIFICATION: EXTRACTION CRAFT] [IFF: OUR LADY OF MIDNIGHT] [PILOT: LT. REEVES] [APPROACH VECTOR: OPTIMAL DESPITE CONDITIONS] [ETA: 27 SECONDS]

The craft's engines cut through Liberty's Promise's storm conditions with determined precision. Lieutenant Reeves' voice materializes through static:

"This is—Reeves—one approach—no second chances—radiation levels—systems failing—hold position—coming in hot—"

Her voice reveals the strain of stage 2 radiation sickness – vocal tremors, periodic breaks, the determination of a pilot who knows this is her final flight.

Landing zone increasingly compromised by enemy concentration. Defensive perimeter contracting as Voteless numbers overwhelm established killzones:

[PERIMETER STATUS: COLLAPSING] [GATLING AMMUNITION: 27%] [MINES: DEPLETED] [STATIC FIELD: FAILING] [LIBERATOR AMMUNITION: 143/405] [TACTICAL OPTIONS: DIMINISHING]

Liberator thermal warning indicators exceed maximum threshold:

[WEAPON WARNING: CRITICAL TEMPERATURE] [BARREL INTEGRITY: COMPROMISED] [COOLING FAILURE: IMMINENT] [CONTINUED FIRING: NOT RECOMMENDED] [SWITCHING TO: P-19 REDEEMER]

The sidearm's rapid fire creates interlocking fields of terminal ballistics:

[WEAPON ACTIVE: P-19 REDEEMER] [FIRING MODE: FULL AUTO] [RATE OF FIRE: 1,100 RPM] [RECOIL MANAGEMENT: AUTOMATIC] [TARGETING: MAXIMUM DENSITY ZONES]

Voteless drop in mathematically predictable patterns, immediately replaced by identical units emerging from Liberty's Promise's urban labyrinth.

[T-01:05:27] Final defensive stand. Ammunition critically low

[DEFENSIVE POSITION: BACK TO LANDING ZONE] [MOBILITY: MINIMAL – STATIC DEFENSE] [FIELD OF FIRE: 180°] [AMMUNITION STATUS: P-19 REDEEMER 47/124] [RELOADING: NOT VIABLE]

My position established with back against extraction craft's projected landing zone. Firing solutions executed with maximum efficiency across Liberty's Promise's spaceport approach vectors:

[FIRING PATTERN: OPTIMIZED] [TARGET SELECTION: PRIORITY THREATS] [AMMUNITION EXPENDITURE: PRECISELY CALCULATED] [NEURAL TARGETING: ENHANCED BY STIMULANTS] [KILL EFFICIENCY: 100% - ZERO WASTED ROUNDS]

Double-tap technique delivering cranial impacts to each Voteless. Ammunition conservation protocols in full effect despite desperate situation.

[T-01:05:49] Extraction craft landed at Liberty's Promise spaceport. Boarding ramp deployed

[EXTRACTION CRAFT: LANDED] [POSITION: 2M BEHIND CURRENT POSITION] [BOARDING RAMP: DEPLOYED] [ENGINE STATUS: MAINTAINING POWER] [DEPARTURE WINDOW: EXTREMELY LIMITED]

Lieutenant Reeves visible through cockpit transparency, her face showing clear radiation sickness symptoms – nosebleed, facial lesions, capillary hemorrhaging in eyes. Her voice struggles through the comm system:

"Get—aboard—now—systems failing—singularity radiation—affecting stabilizers—thirty seconds—maximum—"

Three remaining rounds in the P-19 Redeemer. Three final Voteless charging position:

[TARGETS: 3 FINAL Voteless] [RANGE: 7M AND CLOSING] [AMMUNITION: 3 ROUNDS REMAINING] [TARGETING SOLUTION: CALCULATED] [PROBABILITY OF SUCCESS: 97.3%]

Three perfect shot placements. Three former colonists returned to stillness.

[T-01:06:02] Board complete. Extraction craft sealing. Altitude increasing above Liberty's Promise City

[BOARDING: COMPLETE] [RAMP STATUS: CLOSING] [SEAL INTEGRITY: COMPROMISED – Voteless INTERFERENCE] [ALTITUDE: INCREASING] [WARNING: HULL BREACH ATTEMPT IN PROGRESS]

As the craft lifts from Liberty's Promise's frozen surface, multiple Voteless attempt to climb aboard:

[HULL BREACH ATTEMPT: MULTIPLE Voteless] [QUANTITY: 7 SPECIMENS] [ATTACHMENT POINTS: BOARDING RAMP, LANDING STRUTS, SENSOR ARRAY] [THREAT LEVEL: CRITICAL] [ACTION REQUIRED: IMMEDIATE]

The P-19 Redeemer's magazine empty, I grab emergency tool from bulkhead:

[EMERGENCY TOOL: ACCESSED] [CLASSIFICATION: MAINTENANCE PRY BAR] [LENGTH: 73CM] [COMPOSITION: HARDENED STEEL] [EFFECTIVENESS AS WEAPON: LIMITED BUT VIABLE]

First Voteless breaches partially sealed boarding ramp, fingers extending through 7cm gap:

[Voteless BREACH: IN PROGRESS] [LOCATION: BOARDING RAMP] [GAP SIZE: 7CM AND WIDENING] [TIME TO FULL BREACH: 12 SECONDS] [ACTION: REQUIRED IMMEDIATELY]

I drive maintenance tool through gap with hydraulic assistance from suit, penetrating Voteless cranial cavity:

[IMPACT DELIVERED: MAXIMUM FORCE] [PENETRATION: COMPLETE] [TARGET STATUS: NEUTRALIZED] [TOOL STATUS: RETRIEVABLE] [REMAINING THREATS: 6]

Lieutenant Reeves' voice cuts through ship's internal comm: "Hold—something—emergency protocols—"

She engages emergency thruster sequence, acceleration pushing craft beyond safe atmospheric exit parameters:

[G-FORCE: 7.3G AND INCREASING] [STRUCTURAL INTEGRITY: STRESSED] [Voteless ATTACHMENT: WEAKENING] [ALTITUDE: 1,700M AND CLIMBING] [ATMOSPHERIC EXIT: IMMINENT]

External temperature sensors register dramatic increase as friction heats external hull:

[EXTERNAL TEMPERATURE: 1,473°F] [HULL MATERIAL: APPROACHING THERMAL LIMITS] [Voteless ATTACHED: COMBUSTING] [THREAT ELIMINATION: PROCEEDING] [ESTIMATED CLEARANCE: 7 SECONDS]

[T-01:06:25] Stratagem beacon activated. Request: 500 Kiloton Bomb

[FINAL STRATAGEM: ACTIVATED] [TARGET: LIBERTY'S PROMISE CENTRAL PLAZA] [AUTHORIZATION: TRANSMITTED] [BEACON DEPLOYMENT: SUCCESSFUL] [DETONATION: PENDING ORBITAL CALCULATION]

One final contribution to mission parameters. Left-Down-Right-Right-Left-Up. Beacon away, targeted at Liberty's Promise's city center.

Lieutenant Reeves acknowledges through pain-strained voice: "Final—package—away—detonation—thirty seconds—"

[T-01:06:52] From altitude: Detonation observed. Blast radius: 1.7km. Estimated casualties: TOTAL

[DETONATION OBSERVED] [YIELD: 500KT] [BLAST RADIUS: 1.7KM] [TARGET: LIBERTY'S PROMISE CITY CENTER] [Voteless CASUALTIES: ESTIMATED 9,000+] [ILLUMINATE CASUALTIES: UNKNOWN BUT SUBSTANTIAL]

Through the extraction craft viewport, Liberty's Promise's flag remains visible for 3.8 seconds before atmospheric disturbance obscures visual confirmation. Still standing. Democracy endures within Liberty's Promise despite abandonment by its designated defenders.

The craft achieves orbital insertion, violent shuddering indicating structural compromise:

[ORBITAL INSERTION: ACHIEVED] [CRAFT INTEGRITY: 73%] [RADIATION LEVELS: EXTREME] [LIFE SUPPORT: FAILING] [PILOT CONDITION: CRITICAL – RADIATION POISONING]

[T-01:09:17] Medical intervention initiated aboard extraction craft

[MEDICAL SYSTEMS: ACTIVATED] [SUIT DISENGAGEMENT: INITIATED] [TRAUMA ASSESSMENT: COMPREHENSIVE] [TREATMENT PRIORITY: STABILIZATION] [SURVIVAL PROGNOSIS: GUARDED BUT VIABLE]

Suit disengagement reveals the full extent of Liberty's Promise operation damage:

[PHYSICAL ASSESSMENT: WOUNDS CATALOGED] [ENERGY WEAPON IMPACTS: 8] [PENETRATION DEPTH: VARIED 1.7-4.7CM] [FRAGMENTATION WOUNDS: 3] [SKELETAL FRACTURES: 9] [INTERNAL HEMORRHAGING: MODERATE BUT CONTROLLED]

The ship's medical AI begins triage protocols:

[TREATMENT INITIATED: PRIMARY STABILIZATION] [SYNTHETIC BLOOD: ADMINISTERED] [NANITE HEALING SWARM: REINFORCED] [SKELETAL STABILIZERS: APPLIED] [WOUND CLOSURE: IN PROGRESS]

Combat stimulants being systematically filtered:

[STIMULANT REMOVAL: INITIATED] [DETOXIFICATION PROTOCOLS: ENGAGED] [LIVER SUPPORT: ARTIFICIAL] [KIDNEY FUNCTION: ASSISTED] [NEUROLOGICAL MONITORING: CONTINUOUS]

The pain returns in waves as suppression chemicals degrade:

[PAIN LEVELS: INCREASING] [SUPPRESSION: DECREASING] [NEURAL TRANSMISSION: RETURNING TO NORMAL] [BIOLOGICAL FEEDBACK: RESTORING] [CONSCIOUSNESS: MAINTAINED DESPITE DISCOMFORT]

I reject additional analgesic compounds offered by medical system:

[PAIN MANAGEMENT: OFFERED] [RESPONSE: REJECTED] [JUSTIFICATION: TACTICAL AWARENESS PRIORITY] [COGNITIVE FUNCTION: MAINTAINED DESPITE PAIN] [MISSION FOCUS: ABSOLUTE]

[T-01:12:40] Video feed concludes – Helmet removed

[HELMET REMOVAL: COMPLETE] [VIDEO FEED: TERMINATED] [NEURAL INTERFACE: DISENGAGED] [MISSION RECORDING: SAVED TO SECURE SERVER] [TRANSMISSION TO COMMAND: PENDING]

[End Combat Footage]

[T-01:13:22] Orbital communication established with Our Lady of Midnight

Lieutenant Kim's voice materializes through static: "Praxis—Commander Vega is gone—radiation—ship breaking apart—we have one more mission—Illuminate mothership—behind singularity—you're patched up enough—democracy needs—final strike—"

MISSION ASSESSMENT:

Illuminate mind control pylon neutralized within Liberty's Promise City with extreme prejudice

Territory secured and claimed for Super Earth

Democratic principles maintained against overwhelming odds

Casualty ratio: 1:562 (Helldiver:Enemy)

Total wounds sustained: 11

Mission abandoned by all SEAF vessels except "Our Lady of Midnight"

SOS transmitted by original Liberty's Promise team, then by surviving operative - no response received except from operative's assigned vessel

Secondary mission requirement identified: Illuminate mothership beyond singularity

INQUIRY FOR COMMAND: This operative formally requests immediate investigation into command structure decisions regarding Liberty's Promise operation on PILEN V. Specific inquiry demanded into commanding officers who withdrew support assets after deploying personnel into active combat zone. Their abandonment of deployed forces constitutes dereliction of duty, violation of Helldiver operational protocols, and direct contravention of democratic principles that our organization exists to defend.

PHYSIOLOGICAL EVALUATION:

Multiple fractures (9): Ribs (5), clavicle, radius, ulna, left orbital socket

Energy weapon penetration wounds (8): Various locations with associated tissue carbonization

Fragmentation wounds (3): Lower back, right thigh, left shoulder

Mild traumatic brain injury: Consistent with blast exposure and psychic assault

Combat stimulant toxicity: Level 4 (requiring 72-hour detoxification protocol)

Current operational capacity: 37% of baseline

Recommended recovery period: 96 hours (Rejected by operative)

Return to combat status: IMMEDIATE

PERSONAL ADDENDUM: On Earth, I designed weapons systems based on theoretical operational parameters. I calculated survival probabilities using pristine mathematical models. I developed defensive countermeasures against theoretical threats.

Liberty's Promise rendered theory obsolete. The mission failure point wasn't technological—it was psychological. The fundamental breakdown occurred not in our weapons or defenses, but in the willingness of command structure to maintain support when resistance intensified.

I survived eleven distinct wounds and completed all mission parameters throughout Liberty's Promise. Others abandoned their posts without engaging the enemy. The comparison requires no elaboration.

I will return to operational status immediately, not because physical recovery has occurred, but because Super Earth requires personnel who understand that democracy demands continuation despite resistance. Who comprehend that an SOS response creates binding obligation toward mission completion rather than justification for withdrawal.

The physical wounds will heal according to predictable biological processes. The systemic failure of command structure integrity represents damage beyond conventional repair parameters.

The Illuminate mothership awaits beyond the singularity. Our Lady of Midnight is dying. Lieutenant Reeves is dying. Every crew member sacrificed to radiation poisoning deserves completion of this final mission. Democracy will be delivered to the source of the threat, regardless of personal cost.

For Super Earth. For Democracy. For Liberty's Promise.

Dr. Praxis, Master Sergeant Weapons Systems Design Division (Formerly) 59th Helldivers Combat Battalion (Currently)

[wolfewaithdesn512]

Further exploration of the "political message" brief

Tried to tie a handful of elements together here, hopefully the use of Helvetica isn't too scary in this context. I used it as I thought amidst all the curvature and slightly entropic aspects of this piece, the linear, put-together build of a good sans-serif would be a nice touch to help bring it all together.

With the quotations, I was thinking about my usage of newspaper clippings for another class, feeling inspired by those and the strips you'd get from label printers; they add their own texture & style to this piece, while letting the rest of the imagery have its own stage to be presented. And I suppose this is the smooth transition into talking about that.

I am a huge fan of curves and blobs. I'm a lot of different things but the one thing that remains consistent is that my brain and my body are entirely composed of them, so it was only fitting I portray the assets of tangata whenua using these vectors. Everything except a calm sea & sky conjoining on the horizon; the crops, the land, the sands and the sun are composed of these. These are being tampered with by the hand coming in from the left hand side, to represent "this House" from the quotation, that being NZ Parliament.

To add some texture to the sky, I decided to add a half-tone pattern of waves (my own imagery) to emulate altocumulus clouds that I'd seen many times while living here, which I felt reflected well the patterns I associate with this country. My decision to flip the landscape 90 degrees was an experiment to see how it would match a portrait orientation, and I would say it turned out quite refreshing and even successful. What are we thinking though?

Bibliography:

Maipi-Clarke, H.R. (2023, 12 December) Maiden speech. New Zealand Parliament. https://www.parliament.nz/en/pb/hansard-debates/rhr/document/HansS_20231212_062118000/maipi-clarke-hana-rawhiti

[katyspersonal]

When you started drawing? And how? Your works are so detailed and you feel the perspective so Q_Q Your drawing of old hunter from DLC is incredibly cool, I am looking respectfully

Oh- You mean this ( x ) one? Haha, yeah, it was an art commission, so I tried to give it the best I could... Though maybe using something I was paid for as a chance to practice perspective was a little irresponcible :') But the customer was happy, and this is what matters!

To be honest, I've been drawing for as long as I can remember...? I have quite the regrets about having basically none of my drawings from childhood survive, because it's been a LOT. But I've been going over the top with details, colors and settings since the age of like, 4-5 I think? I recall the caretakers at kindergarden REALLY loving my drawing of underwater, because I killed it with variety of fish and seaweed, despite having no references or knowledge! Also, fun fact - the very first art criticism of my life from me was towards a girl that colored every woman in her coloring book as blonde with blue eyes! I criticized her saying that there were other colors for people and that it was boring to be so samey dsfjjdshfsd Had to apologize, but.. yeah, it was the ultimate "I've always been this way" moment if I've seen one. :')

I used to visit classes to practice my drawing in elementary school, though! But it was mostly environment and animals, when I was more interested in drawing people at that time! The period from 8 to 12 years was the one where I kept creating OCs obsessively, and stories for them, and I've had like 6 comics I've been drawing and coloring at the same time (mostly comedy + fantasy)! I think what really inspired me to start creating the comics and characters that were mostly young girls with elemental powers was the Russian comic, Rainbow Knights x) (Журнал "Юла", припоминаешь? хд) I was obsessed with it, and I was obsessed with excuse to use more colors, effects and nature/elemental aesthetic. And yes, it was all trdaitional! I love using crayons, markers, pens and pencils for coloring. My clumsy hands were never good for paintbrushes... I moved more onto digital around the age of 14. It was when I've found a summer job, and earned enough money to buy a tablet! So.. I started prioritize digital art since then! But it had the form of me first drawing something on the paper, and then scanning and fixing/lining/coloring it on the computer for a LONG time! Well, it was taking some time to get used to, as well, so I also had some drawings I did with my mouse and vector tool in PS or SAI, like this:

It is one of the only few remaining "ancient" ones, since most of them got lost forever on the old hard drive! ...I still HAVE this hard drive, I just have no idea how to extract anything from it.. It is kinda broken :U But if I get my hands on very old doodles trapped there, I will share!

^ I believe this was the first doodle that I did 100% on the computer AND with the tablet! Without mouse, without first drawing traditonally and then digitally, but just on the computer, from start to finish! But it was still hard to do, so I kept with the use of paper and pencil for some more while. Like- I hoped I'd find some old drawings for this ask, but all I found were traditional versions of some of my drawings!

You could tell that using traditional paper + pencil were beneficial for anatomy and proportions. And that I used to be better at that, VERY much better. And that it was sorta... easier to 'get lost' in the process? It was a simpler life when not only I was far less depressed and broken, not only I had more spare time in schoo/uni years, but also just... I did not feel burnt out. Or guilty over the fact of not finishing new drawing "fast enough" (and thus, looking like a loser). I also had less things online to drain my spare time, less distractions... I kinda miss that time, really...

All in all, I've never learned to draw PROPERLY. I was self-taught but not studying too hard, mostly I was just analysing art of artists I loved to improve my own, and asking advice from good artists to fix this or that! Hence, my skill used to be better! Year 2015-16 was my most productive year artistically! I've been drawing a bunch of (then) popular cartoon stuff, as well as TONS of fanart for Rick and Morty RP community, and all the things were sooooo bright, colorful and full of energy...

And now meet the man that sorta ended my art career :^) I've picked interest in Mark (Endlish localisation called him Marx and I hate it lol), and that pulled me into the rest of K1rby. Except I could not actually play anything (besides 64 Crystal Shards that I emulated), so I compensated with letsplays and anime. And Super Paper Mario was a side obsession. xD But.... yeah, since MARK, dark ages for my art started. No, no, my art was good! Awesome, even! I kept people begging me to "please draw K1rby again" for years since fandom shifting! Words like, 'no one ever cared about this universe and characters the same way you do'... But! Drawing 'creatures' for 2-3 years completely destroyed my prior (already loose) knowledge of human anatomy and proportions, and I am still struggling to recover that former skill! :')

Finally, year later, around February/March 2021, I've gotten pulled into Bloodb0rne! Badly. And thanks to Mic0lash. Huh, it is always some madman, isn't it? xD But I felt very self-consious about my art... I felt like serious, detailed, dark and beautiful atmosphere of BB deserved better than my "overly cutesy" and "tone-deaf" art.... annnnd if this sounds like something I'd never say, but rather as an unfair criticism from some antsy reddit-ish asshole? It is because it is EXACTLY what it was! :')

But in either case, the Doll was the first time I've used paper and pencil again in many years. I felt so... alive? I recall the feeling I could only describe as 'blood returned in my veins' but spiritual, you know? It felt like so much fun! To remember how to draw traditonally, to break out of my 'round cutesy' comfort zone- heck, I even downloaded brushes for my SAI for the first time in my life, just to color the characters better! Learned new coloring style, too: usually my coloring was very rigid and relying on very concrete colors for shadow and base.. but from this point on, I prioritized more 'chaotic' approach, as I felt it was more appropriate!

....and so, now we are here. x)

You could tell that some of the things I am just used to persisted, and that colorful, "childish" energy is still slipping through the cracks. Soulsb0rne games are ideal for how my mind works... but perhaps not for how my soul works. There is just something in me that craves that sillyness, overly colorful designs and settings, and maybe ER is closer to that aesthetic? Yeah, had I not been criticized on my art harshly upon joining BB, maybe my art would've been way more cute and 'free'! I always loved drawing many details, but something about the route I've taken about drawing made it very heavy. My brain short-circuits at the AMOUNT of the details I keep in mind, yet I can't rest unless I got it "at least 90% correct", even when it is a darn shitpost ;-; I will figure out what went wrong compared with the way I used to draw humans..... someday.

Thank you for asking, though! Ha! Honorable mention: tons of shitposty comics and doodles I kept drawing in classes, both school and uni! x)

[ohmysatan42]

Guys I just found out they are making another despicable me movie.

So anyway I just wanted to say it wasn't til year 12 physics that I realized when vector is doing the whole direction and magnitude thing it's a really clever funny joke about vectors being thingies (idk my words aren't wording) with both direction and magnitude. Suffice to say I passed my exams by remembering how vectors worked because of despicable me. My friends from that class still joke about it.

Thanks for coming to me TED talk.

[aibyrdidini]

UNLOCKING THE POWER OF AI WITH EASYLIBPAL 2/2

EXPANDED COMPONENTS AND DETAILS OF EASYLIBPAL:

1. Easylibpal Class: The core component of the library, responsible for handling algorithm selection, model fitting, and prediction generation

2. Algorithm Selection and Support:

Supports classic AI algorithms such as Linear Regression, Logistic Regression, Support Vector Machine (SVM), Naive Bayes, and K-Nearest Neighbors (K-NN).

and

- Decision Trees

- Random Forest

- AdaBoost

- Gradient Boosting

3. Integration with Popular Libraries: Seamless integration with essential Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn for enhanced functionality.

4. Data Handling:

- DataLoader class for importing and preprocessing data from various formats (CSV, JSON, SQL databases).

- DataTransformer class for feature scaling, normalization, and encoding categorical variables.

- Includes functions for loading and preprocessing datasets to prepare them for training and testing.

- `FeatureSelector` class: Provides methods for feature selection and dimensionality reduction.

5. Model Evaluation:

- Evaluator class to assess model performance using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.

- Methods for generating confusion matrices and classification reports.

6. Model Training: Contains methods for fitting the selected algorithm with the training data.

- `fit` method: Trains the selected algorithm on the provided training data.

7. Prediction Generation: Allows users to make predictions using the trained model on new data.

- `predict` method: Makes predictions using the trained model on new data.

- `predict_proba` method: Returns the predicted probabilities for classification tasks.

8. Model Evaluation:

- `Evaluator` class: Assesses model performance using various metrics (e.g., accuracy, precision, recall, F1-score, ROC-AUC).

- `cross_validate` method: Performs cross-validation to evaluate the model's performance.

- `confusion_matrix` method: Generates a confusion matrix for classification tasks.

- `classification_report` method: Provides a detailed classification report.

9. Hyperparameter Tuning:

- Tuner class that uses techniques likes Grid Search and Random Search for hyperparameter optimization.

10. Visualization:

- Integration with Matplotlib and Seaborn for generating plots to analyze model performance and data characteristics.

- Visualization support: Enables users to visualize data, model performance, and predictions using plotting functionalities.

- `Visualizer` class: Integrates with Matplotlib and Seaborn to generate plots for model performance analysis and data visualization.

- `plot_confusion_matrix` method: Visualizes the confusion matrix.

- `plot_roc_curve` method: Plots the Receiver Operating Characteristic (ROC) curve.

- `plot_feature_importance` method: Visualizes feature importance for applicable algorithms.

11. Utility Functions:

- Functions for saving and loading trained models.

- Logging functionalities to track the model training and prediction processes.

- `save_model` method: Saves the trained model to a file.

- `load_model` method: Loads a previously trained model from a file.

- `set_logger` method: Configures logging functionality for tracking model training and prediction processes.

12. User-Friendly Interface: Provides a simplified and intuitive interface for users to interact with and apply classic AI algorithms without extensive knowledge or configuration.

13.. Error Handling: Incorporates mechanisms to handle invalid inputs, errors during training, and other potential issues during algorithm usage.

- Custom exception classes for handling specific errors and providing informative error messages to users.

14. Documentation: Comprehensive documentation to guide users on how to use Easylibpal effectively and efficiently

- Comprehensive documentation explaining the usage and functionality of each component.

- Example scripts demonstrating how to use Easylibpal for various AI tasks and datasets.

15. Testing Suite:

- Unit tests for each component to ensure code reliability and maintainability.

- Integration tests to verify the smooth interaction between different components.

IMPLEMENTATION EXAMPLE WITH ADDITIONAL FEATURES:

Here is an example of how the expanded Easylibpal library could be structured and used:

```python

import numpy as np

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.preprocessing import StandardScaler

from easylibpal import Easylibpal, DataLoader, Evaluator, Tuner

# Example DataLoader

class DataLoader:

def load_data(self, filepath, file_type='csv'):

if file_type == 'csv':

return pd.read_csv(filepath)

else:

raise ValueError("Unsupported file type provided.")

# Example Evaluator

class Evaluator:

def evaluate(self, model, X_test, y_test):

predictions = model.predict(X_test)

accuracy = np.mean(predictions == y_test)

return {'accuracy': accuracy}

# Example usage of Easylibpal with DataLoader and Evaluator

if __name__ == "__main__":

# Load and prepare the data

data_loader = DataLoader()

data = data_loader.load_data('path/to/your/data.csv')

X = data.iloc[:, :-1]

y = data.iloc[:, -1]

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Scale features

scaler = StandardScaler()

X_train_scaled = scaler.fit_transform(X_train)

X_test_scaled = scaler.transform(X_test)

# Initialize Easylibpal with the desired algorithm

model = Easylibpal('Random Forest')

model.fit(X_train_scaled, y_train)

# Evaluate the model

evaluator = Evaluator()

results = evaluator.evaluate(model, X_test_scaled, y_test)

print(f"Model Accuracy: {results['accuracy']}")

# Optional: Use Tuner for hyperparameter optimization

tuner = Tuner(model, param_grid={'n_estimators': [100, 200], 'max_depth': [10, 20, 30]})

best_params = tuner.optimize(X_train_scaled, y_train)

print(f"Best Parameters: {best_params}")

```

This example demonstrates the structured approach to using Easylibpal with enhanced data handling, model evaluation, and optional hyperparameter tuning. The library empowers users to handle real-world datasets, apply various machine learning algorithms, and evaluate their performance with ease, making it an invaluable tool for developers and data scientists aiming to implement AI solutions efficiently.

Easylibpal is dedicated to making the latest AI technology accessible to everyone, regardless of their background or expertise. Our platform simplifies the process of selecting and implementing classic AI algorithms, enabling users across various industries to harness the power of artificial intelligence with ease. By democratizing access to AI, we aim to accelerate innovation and empower users to achieve their goals with confidence. Easylibpal's approach involves a democratization framework that reduces entry barriers, lowers the cost of building AI solutions, and speeds up the adoption of AI in both academic and business settings.

Below are examples showcasing how each main component of the Easylibpal library could be implemented and used in practice to provide a user-friendly interface for utilizing classic AI algorithms.

1. Core Components

Easylibpal Class Example:

```python

class Easylibpal:

def __init__(self, algorithm):

self.algorithm = algorithm

self.model = None

def fit(self, X, y):

# Simplified example: Instantiate and train a model based on the selected algorithm

if self.algorithm == 'Linear Regression':

from sklearn.linear_model import LinearRegression

self.model = LinearRegression()

elif self.algorithm == 'Random Forest':

from sklearn.ensemble import RandomForestClassifier

self.model = RandomForestClassifier()

self.model.fit(X, y)

def predict(self, X):

return self.model.predict(X)

```

2. Data Handling

DataLoader Class Example:

```python

class DataLoader:

def load_data(self, filepath, file_type='csv'):

if file_type == 'csv':

import pandas as pd

return pd.read_csv(filepath)

else:

raise ValueError("Unsupported file type provided.")

```

3. Model Evaluation

Evaluator Class Example:

```python

from sklearn.metrics import accuracy_score, classification_report

class Evaluator:

def evaluate(self, model, X_test, y_test):

predictions = model.predict(X_test)

accuracy = accuracy_score(y_test, predictions)

report = classification_report(y_test, predictions)

return {'accuracy': accuracy, 'report': report}

```

4. Hyperparameter Tuning

Tuner Class Example:

```python

from sklearn.model_selection import GridSearchCV

class Tuner:

def __init__(self, model, param_grid):

self.model = model

self.param_grid = param_grid

def optimize(self, X, y):

grid_search = GridSearchCV(self.model, self.param_grid, cv=5)

grid_search.fit(X, y)

return grid_search.best_params_

```

5. Visualization

Visualizer Class Example:

```python

import matplotlib.pyplot as plt

class Visualizer:

def plot_confusion_matrix(self, cm, classes, normalize=False, title='Confusion matrix'):

plt.imshow(cm, interpolation='nearest', cmap=plt.cm.Blues)

plt.title(title)

plt.colorbar()

tick_marks = np.arange(len(classes))

plt.xticks(tick_marks, classes, rotation=45)

plt.yticks(tick_marks, classes)

plt.ylabel('True label')

plt.xlabel('Predicted label')

plt.show()

```

6. Utility Functions

Save and Load Model Example:

```python

import joblib

def save_model(model, filename):

joblib.dump(model, filename)

def load_model(filename):

return joblib.load(filename)

```

7. Example Usage Script

Using Easylibpal in a Script:

```python

# Assuming Easylibpal and other classes have been imported

data_loader = DataLoader()

data = data_loader.load_data('data.csv')

X = data.drop('Target', axis=1)

y = data['Target']

model = Easylibpal('Random Forest')

model.fit(X, y)

evaluator = Evaluator()

results = evaluator.evaluate(model, X, y)

print("Accuracy:", results['accuracy'])

print("Report:", results['report'])

visualizer = Visualizer()

visualizer.plot_confusion_matrix(results['cm'], classes=['Class1', 'Class2'])

save_model(model, 'trained_model.pkl')

loaded_model = load_model('trained_model.pkl')

```

These examples illustrate the practical implementation and use of the Easylibpal library components, aiming to simplify the application of AI algorithms for users with varying levels of expertise in machine learning.

EASYLIBPAL IMPLEMENTATION:

Step 1: Define the Problem

First, we need to define the problem we want to solve. For this POC, let's assume we want to predict house prices based on various features like the number of bedrooms, square footage, and location.

Step 2: Choose an Appropriate Algorithm

Given our problem, a supervised learning algorithm like linear regression would be suitable. We'll use Scikit-learn, a popular library for machine learning in Python, to implement this algorithm.

Step 3: Prepare Your Data

We'll use Pandas to load and prepare our dataset. This involves cleaning the data, handling missing values, and splitting the dataset into training and testing sets.

Step 4: Implement the Algorithm

Now, we'll use Scikit-learn to implement the linear regression algorithm. We'll train the model on our training data and then test its performance on the testing data.

Step 5: Evaluate the Model

Finally, we'll evaluate the performance of our model using metrics like Mean Squared Error (MSE) and R-squared.

Python Code POC

```python

import numpy as np

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LinearRegression

from sklearn.metrics import mean_squared_error, r2_score

# Load the dataset

data = pd.read_csv('house_prices.csv')

# Prepare the data

X = data'bedrooms', 'square_footage', 'location'

y = data['price']

# Split the data into training and testing sets

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Create and train the model

model = LinearRegression()

model.fit(X_train, y_train)

# Make predictions

predictions = model.predict(X_test)

# Evaluate the model

mse = mean_squared_error(y_test, predictions)

r2 = r2_score(y_test, predictions)

print(f'Mean Squared Error: {mse}')

print(f'R-squared: {r2}')

```

Below is an implementation, Easylibpal provides a simple interface to instantiate and utilize classic AI algorithms such as Linear Regression, Logistic Regression, SVM, Naive Bayes, and K-NN. Users can easily create an instance of Easylibpal with their desired algorithm, fit the model with training data, and make predictions, all with minimal code and hassle. This demonstrates the power of Easylibpal in simplifying the integration of AI algorithms for various tasks.

```python

# Import necessary libraries

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

from sklearn.linear_model import LinearRegression

from sklearn.linear_model import LogisticRegression

from sklearn.svm import SVC

from sklearn.naive_bayes import GaussianNB

from sklearn.neighbors import KNeighborsClassifier

class Easylibpal:

def __init__(self, algorithm):

self.algorithm = algorithm

def fit(self, X, y):

if self.algorithm == 'Linear Regression':

self.model = LinearRegression()

elif self.algorithm == 'Logistic Regression':

self.model = LogisticRegression()

elif self.algorithm == 'SVM':

self.model = SVC()

elif self.algorithm == 'Naive Bayes':

self.model = GaussianNB()

elif self.algorithm == 'K-NN':

self.model = KNeighborsClassifier()

else:

raise ValueError("Invalid algorithm specified.")

self.model.fit(X, y)

def predict(self, X):

return self.model.predict(X)

# Example usage:

# Initialize Easylibpal with the desired algorithm

easy_algo = Easylibpal('Linear Regression')

# Generate some sample data

X = np.array([[1], [2], [3], [4]])

y = np.array([2, 4, 6, 8])

# Fit the model

easy_algo.fit(X, y)

# Make predictions

predictions = easy_algo.predict(X)

# Plot the results

plt.scatter(X, y)

plt.plot(X, predictions, color='red')

plt.title('Linear Regression with Easylibpal')

plt.xlabel('X')

plt.ylabel('y')

plt.show()

```

Easylibpal is an innovative Python library designed to simplify the integration and use of classic AI algorithms in a user-friendly manner. It aims to bridge the gap between the complexity of AI libraries and the ease of use, making it accessible for developers and data scientists alike. Easylibpal abstracts the underlying complexity of each algorithm, providing a unified interface that allows users to apply these algorithms with minimal configuration and understanding of the underlying mechanisms.

ENHANCED DATASET HANDLING

Easylibpal should be able to handle datasets more efficiently. This includes loading datasets from various sources (e.g., CSV files, databases), preprocessing data (e.g., normalization, handling missing values), and splitting data into training and testing sets.

```python

import os

from sklearn.model_selection import train_test_split

class Easylibpal:

# Existing code...

def load_dataset(self, filepath):

"""Loads a dataset from a CSV file."""

if not os.path.exists(filepath):

raise FileNotFoundError("Dataset file not found.")

return pd.read_csv(filepath)

def preprocess_data(self, dataset):

"""Preprocesses the dataset."""

# Implement data preprocessing steps here

return dataset

def split_data(self, X, y, test_size=0.2):

"""Splits the dataset into training and testing sets."""

return train_test_split(X, y, test_size=test_size)

```

Additional Algorithms

Easylibpal should support a wider range of algorithms. This includes decision trees, random forests, and gradient boosting machines.

```python

from sklearn.tree import DecisionTreeClassifier

from sklearn.ensemble import RandomForestClassifier

from sklearn.ensemble import GradientBoostingClassifier

class Easylibpal:

# Existing code...

def fit(self, X, y):

# Existing code...

elif self.algorithm == 'Decision Tree':

self.model = DecisionTreeClassifier()

elif self.algorithm == 'Random Forest':

self.model = RandomForestClassifier()

elif self.algorithm == 'Gradient Boosting':

self.model = GradientBoostingClassifier()

# Add more algorithms as needed

```

User-Friendly Features

To make Easylibpal even more user-friendly, consider adding features like:

- Automatic hyperparameter tuning: Implementing a simple interface for hyperparameter tuning using GridSearchCV or RandomizedSearchCV.

- Model evaluation metrics: Providing easy access to common evaluation metrics like accuracy, precision, recall, and F1 score.

- Visualization tools: Adding methods for plotting model performance, confusion matrices, and feature importance.

```python

from sklearn.metrics import accuracy_score, classification_report

from sklearn.model_selection import GridSearchCV

class Easylibpal:

# Existing code...

def evaluate_model(self, X_test, y_test):

"""Evaluates the model using accuracy and classification report."""

y_pred = self.predict(X_test)

print("Accuracy:", accuracy_score(y_test, y_pred))

print(classification_report(y_test, y_pred))

def tune_hyperparameters(self, X, y, param_grid):

"""Tunes the model's hyperparameters using GridSearchCV."""

grid_search = GridSearchCV(self.model, param_grid, cv=5)

grid_search.fit(X, y)

self.model = grid_search.best_estimator_

```

Easylibpal leverages the power of Python and its rich ecosystem of AI and machine learning libraries, such as scikit-learn, to implement the classic algorithms. It provides a high-level API that abstracts the specifics of each algorithm, allowing users to focus on the problem at hand rather than the intricacies of the algorithm.

Python Code Snippets for Easylibpal

Below are Python code snippets demonstrating the use of Easylibpal with classic AI algorithms. Each snippet demonstrates how to use Easylibpal to apply a specific algorithm to a dataset.

# Linear Regression

```python

from Easylibpal import Easylibpal

# Initialize Easylibpal with a dataset

Easylibpal = Easylibpal(dataset='your_dataset.csv')

# Apply Linear Regression

result = Easylibpal.apply_algorithm('linear_regression', target_column='target')

# Print the result

print(result)

```

# Logistic Regression

```python

from Easylibpal import Easylibpal

# Initialize Easylibpal with a dataset

Easylibpal = Easylibpal(dataset='your_dataset.csv')

# Apply Logistic Regression

result = Easylibpal.apply_algorithm('logistic_regression', target_column='target')

# Print the result

print(result)

```

# Support Vector Machines (SVM)

```python

from Easylibpal import Easylibpal

# Initialize Easylibpal with a dataset

Easylibpal = Easylibpal(dataset='your_dataset.csv')

# Apply SVM

result = Easylibpal.apply_algorithm('svm', target_column='target')

# Print the result

print(result)

```

# Naive Bayes

```python

from Easylibpal import Easylibpal

# Initialize Easylibpal with a dataset

Easylibpal = Easylibpal(dataset='your_dataset.csv')

# Apply Naive Bayes

result = Easylibpal.apply_algorithm('naive_bayes', target_column='target')

# Print the result

print(result)

```

# K-Nearest Neighbors (K-NN)

```python

from Easylibpal import Easylibpal

# Initialize Easylibpal with a dataset

Easylibpal = Easylibpal(dataset='your_dataset.csv')

# Apply K-NN

result = Easylibpal.apply_algorithm('knn', target_column='target')

# Print the result

print(result)

```

ABSTRACTION AND ESSENTIAL COMPLEXITY

- Essential Complexity: This refers to the inherent complexity of the problem domain, which cannot be reduced regardless of the programming language or framework used. It includes the logic and algorithm needed to solve the problem. For example, the essential complexity of sorting a list remains the same across different programming languages.

- Accidental Complexity: This is the complexity introduced by the choice of programming language, framework, or libraries. It can be reduced or eliminated through abstraction. For instance, using a high-level API in Python can hide the complexity of lower-level operations, making the code more readable and maintainable.

HOW EASYLIBPAL ABSTRACTS COMPLEXITY

Easylibpal aims to reduce accidental complexity by providing a high-level API that encapsulates the details of each classic AI algorithm. This abstraction allows users to apply these algorithms without needing to understand the underlying mechanisms or the specifics of the algorithm's implementation.

- Simplified Interface: Easylibpal offers a unified interface for applying various algorithms, such as Linear Regression, Logistic Regression, SVM, Naive Bayes, and K-NN. This interface abstracts the complexity of each algorithm, making it easier for users to apply them to their datasets.

- Runtime Fusion: By evaluating sub-expressions and sharing them across multiple terms, Easylibpal can optimize the execution of algorithms. This approach, similar to runtime fusion in abstract algorithms, allows for efficient computation without duplicating work, thereby reducing the computational complexity.

- Focus on Essential Complexity: While Easylibpal abstracts away the accidental complexity; it ensures that the essential complexity of the problem domain remains at the forefront. This means that while the implementation details are hidden, the core logic and algorithmic approach are still accessible and understandable to the user.

To implement Easylibpal, one would need to create a Python class that encapsulates the functionality of each classic AI algorithm. This class would provide methods for loading datasets, preprocessing data, and applying the algorithm with minimal configuration required from the user. The implementation would leverage existing libraries like scikit-learn for the actual algorithmic computations, abstracting away the complexity of these libraries.

Here's a conceptual example of how the Easylibpal class might be structured for applying a Linear Regression algorithm:

```python

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def apply_linear_regression(self, target_column):

# Abstracted implementation of Linear Regression

# This method would internally use scikit-learn or another library

# to perform the actual computation, abstracting the complexity

pass

# Usage

Easylibpal = Easylibpal(dataset='your_dataset.csv')

result = Easylibpal.apply_linear_regression(target_column='target')

```

This example demonstrates the concept of Easylibpal by abstracting the complexity of applying a Linear Regression algorithm. The actual implementation would need to include the specifics of loading the dataset, preprocessing it, and applying the algorithm using an underlying library like scikit-learn.

Easylibpal abstracts the complexity of classic AI algorithms by providing a simplified interface that hides the intricacies of each algorithm's implementation. This abstraction allows users to apply these algorithms with minimal configuration and understanding of the underlying mechanisms. Here are examples of specific algorithms that Easylibpal abstracts:

To implement Easylibpal, one would need to create a Python class that encapsulates the functionality of each classic AI algorithm. This class would provide methods for loading datasets, preprocessing data, and applying the algorithm with minimal configuration required from the user. The implementation would leverage existing libraries like scikit-learn for the actual algorithmic computations, abstracting away the complexity of these libraries.

Here's a conceptual example of how the Easylibpal class might be structured for applying a Linear Regression algorithm:

```python

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def apply_linear_regression(self, target_column):

# Abstracted implementation of Linear Regression

# This method would internally use scikit-learn or another library

# to perform the actual computation, abstracting the complexity

pass

# Usage

Easylibpal = Easylibpal(dataset='your_dataset.csv')

result = Easylibpal.apply_linear_regression(target_column='target')

```

This example demonstrates the concept of Easylibpal by abstracting the complexity of applying a Linear Regression algorithm. The actual implementation would need to include the specifics of loading the dataset, preprocessing it, and applying the algorithm using an underlying library like scikit-learn.

Easylibpal abstracts the complexity of feature selection for classic AI algorithms by providing a simplified interface that automates the process of selecting the most relevant features for each algorithm. This abstraction is crucial because feature selection is a critical step in machine learning that can significantly impact the performance of a model. Here's how Easylibpal handles feature selection for the mentioned algorithms:

To implement feature selection in Easylibpal, one could use scikit-learn's `SelectKBest` or `RFE` classes for feature selection based on statistical tests or model coefficients. Here's a conceptual example of how feature selection might be integrated into the Easylibpal class for Linear Regression:

```python

from sklearn.feature_selection import SelectKBest, f_regression

from sklearn.linear_model import LinearRegression

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def apply_linear_regression(self, target_column):

# Feature selection using SelectKBest

selector = SelectKBest(score_func=f_regression, k=10)

X_new = selector.fit_transform(self.dataset.drop(target_column, axis=1), self.dataset[target_column])

# Train Linear Regression model

model = LinearRegression()

model.fit(X_new, self.dataset[target_column])

# Return the trained model

return model

# Usage

Easylibpal = Easylibpal(dataset='your_dataset.csv')

model = Easylibpal.apply_linear_regression(target_column='target')

```

This example demonstrates how Easylibpal abstracts the complexity of feature selection for Linear Regression by using scikit-learn's `SelectKBest` to select the top 10 features based on their statistical significance in predicting the target variable. The actual implementation would need to adapt this approach for each algorithm, considering the specific characteristics and requirements of each algorithm.

To implement feature selection in Easylibpal, one could use scikit-learn's `SelectKBest`, `RFE`, or other feature selection classes based on the algorithm's requirements. Here's a conceptual example of how feature selection might be integrated into the Easylibpal class for Logistic Regression using RFE:

```python

from sklearn.feature_selection import RFE

from sklearn.linear_model import LogisticRegression

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def apply_logistic_regression(self, target_column):

# Feature selection using RFE

model = LogisticRegression()

rfe = RFE(model, n_features_to_select=10)

rfe.fit(self.dataset.drop(target_column, axis=1), self.dataset[target_column])

# Train Logistic Regression model

model.fit(self.dataset.drop(target_column, axis=1), self.dataset[target_column])

# Return the trained model

return model

# Usage

Easylibpal = Easylibpal(dataset='your_dataset.csv')

model = Easylibpal.apply_logistic_regression(target_column='target')

```

This example demonstrates how Easylibpal abstracts the complexity of feature selection for Logistic Regression by using scikit-learn's `RFE` to select the top 10 features based on their importance in the model. The actual implementation would need to adapt this approach for each algorithm, considering the specific characteristics and requirements of each algorithm.

EASYLIBPAL HANDLES DIFFERENT TYPES OF DATASETS

Easylibpal handles different types of datasets with varying structures by adopting a flexible and adaptable approach to data preprocessing and transformation. This approach is inspired by the principles of tidy data and the need to ensure data is in a consistent, usable format before applying AI algorithms. Here's how Easylibpal addresses the challenges posed by varying dataset structures:

One Type in Multiple Tables

When datasets contain different variables, the same variables with different names, different file formats, or different conventions for missing values, Easylibpal employs a process similar to tidying data. This involves identifying and standardizing the structure of each dataset, ensuring that each variable is consistently named and formatted across datasets. This process might include renaming columns, converting data types, and handling missing values in a uniform manner. For datasets stored in different file formats, Easylibpal would use appropriate libraries (e.g., pandas for CSV, Excel files, and SQL databases) to load and preprocess the data before applying the algorithms.

Multiple Types in One Table

For datasets that involve values collected at multiple levels or on different types of observational units, Easylibpal applies a normalization process. This involves breaking down the dataset into multiple tables, each representing a distinct type of observational unit. For example, if a dataset contains information about songs and their rankings over time, Easylibpal would separate this into two tables: one for song details and another for rankings. This normalization ensures that each fact is expressed in only one place, reducing inconsistencies and making the data more manageable for analysis.

Data Semantics

Easylibpal ensures that the data is organized in a way that aligns with the principles of data semantics, where every value belongs to a variable and an observation. This organization is crucial for the algorithms to interpret the data correctly. Easylibpal might use functions like `pivot_longer` and `pivot_wider` from the tidyverse or equivalent functions in pandas to reshape the data into a long format, where each row represents a single observation and each column represents a single variable. This format is particularly useful for algorithms that require a consistent structure for input data.

Messy Data

Dealing with messy data, which can include inconsistent data types, missing values, and outliers, is a common challenge in data science. Easylibpal addresses this by implementing robust data cleaning and preprocessing steps. This includes handling missing values (e.g., imputation or deletion), converting data types to ensure consistency, and identifying and removing outliers. These steps are crucial for preparing the data in a format that is suitable for the algorithms, ensuring that the algorithms can effectively learn from the data without being hindered by its inconsistencies.

To implement these principles in Python, Easylibpal would leverage libraries like pandas for data manipulation and preprocessing. Here's a conceptual example of how Easylibpal might handle a dataset with multiple types in one table:

```python

import pandas as pd

# Load the dataset

dataset = pd.read_csv('your_dataset.csv')

# Normalize the dataset by separating it into two tables

song_table = dataset'artist', 'track'.drop_duplicates().reset_index(drop=True)

song_table['song_id'] = range(1, len(song_table) + 1)

ranking_table = dataset'artist', 'track', 'week', 'rank'.drop_duplicates().reset_index(drop=True)

# Now, song_table and ranking_table can be used separately for analysis

```

This example demonstrates how Easylibpal might normalize a dataset with multiple types of observational units into separate tables, ensuring that each type of observational unit is stored in its own table. The actual implementation would need to adapt this approach based on the specific structure and requirements of the dataset being processed.

CLEAN DATA

Easylibpal employs a comprehensive set of data cleaning and preprocessing steps to handle messy data, ensuring that the data is in a suitable format for machine learning algorithms. These steps are crucial for improving the accuracy and reliability of the models, as well as preventing misleading results and conclusions. Here's a detailed look at the specific steps Easylibpal might employ:

1. Remove Irrelevant Data

The first step involves identifying and removing data that is not relevant to the analysis or modeling task at hand. This could include columns or rows that do not contribute to the predictive power of the model or are not necessary for the analysis .

2. Deduplicate Data

Deduplication is the process of removing duplicate entries from the dataset. Duplicates can skew the analysis and lead to incorrect conclusions. Easylibpal would use appropriate methods to identify and remove duplicates, ensuring that each entry in the dataset is unique.

3. Fix Structural Errors

Structural errors in the dataset, such as inconsistent data types, incorrect values, or formatting issues, can significantly impact the performance of machine learning algorithms. Easylibpal would employ data cleaning techniques to correct these errors, ensuring that the data is consistent and correctly formatted.

4. Deal with Missing Data

Handling missing data is a common challenge in data preprocessing. Easylibpal might use techniques such as imputation (filling missing values with statistical estimates like mean, median, or mode) or deletion (removing rows or columns with missing values) to address this issue. The choice of method depends on the nature of the data and the specific requirements of the analysis.

5. Filter Out Data Outliers

Outliers can significantly affect the performance of machine learning models. Easylibpal would use statistical methods to identify and filter out outliers, ensuring that the data is more representative of the population being analyzed.

6. Validate Data

The final step involves validating the cleaned and preprocessed data to ensure its quality and accuracy. This could include checking for consistency, verifying the correctness of the data, and ensuring that the data meets the requirements of the machine learning algorithms. Easylibpal would employ validation techniques to confirm that the data is ready for analysis.

To implement these data cleaning and preprocessing steps in Python, Easylibpal would leverage libraries like pandas and scikit-learn. Here's a conceptual example of how these steps might be integrated into the Easylibpal class:

```python

import pandas as pd

from sklearn.impute import SimpleImputer

from sklearn.preprocessing import StandardScaler

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def clean_and_preprocess(self):

# Remove irrelevant data

self.dataset = self.dataset.drop(['irrelevant_column'], axis=1)

# Deduplicate data

self.dataset = self.dataset.drop_duplicates()

# Fix structural errors (example: correct data type)

self.dataset['correct_data_type_column'] = self.dataset['correct_data_type_column'].astype(float)

# Deal with missing data (example: imputation)

imputer = SimpleImputer(strategy='mean')

self.dataset['missing_data_column'] = imputer.fit_transform(self.dataset'missing_data_column')

# Filter out data outliers (example: using Z-score)

# This step requires a more detailed implementation based on the specific dataset

# Validate data (example: checking for NaN values)

assert not self.dataset.isnull().values.any(), "Data still contains NaN values"

# Return the cleaned and preprocessed dataset

return self.dataset

# Usage

Easylibpal = Easylibpal(dataset=pd.read_csv('your_dataset.csv'))

cleaned_dataset = Easylibpal.clean_and_preprocess()

```

This example demonstrates a simplified approach to data cleaning and preprocessing within Easylibpal. The actual implementation would need to adapt these steps based on the specific characteristics and requirements of the dataset being processed.

VALUE DATA

Easylibpal determines which data is irrelevant and can be removed through a combination of domain knowledge, data analysis, and automated techniques. The process involves identifying data that does not contribute to the analysis, research, or goals of the project, and removing it to improve the quality, efficiency, and clarity of the data. Here's how Easylibpal might approach this:

Domain Knowledge

Easylibpal leverages domain knowledge to identify data that is not relevant to the specific goals of the analysis or modeling task. This could include data that is out of scope, outdated, duplicated, or erroneous. By understanding the context and objectives of the project, Easylibpal can systematically exclude data that does not add value to the analysis.

Data Analysis

Easylibpal employs data analysis techniques to identify irrelevant data. This involves examining the dataset to understand the relationships between variables, the distribution of data, and the presence of outliers or anomalies. Data that does not have a significant impact on the predictive power of the model or the insights derived from the analysis is considered irrelevant.

Automated Techniques

Easylibpal uses automated tools and methods to remove irrelevant data. This includes filtering techniques to select or exclude certain rows or columns based on criteria or conditions, aggregating data to reduce its complexity, and deduplicating to remove duplicate entries. Tools like Excel, Google Sheets, Tableau, Power BI, OpenRefine, Python, R, Data Linter, Data Cleaner, and Data Wrangler can be employed for these purposes .

Examples of Irrelevant Data

- Personal Identifiable Information (PII): Data such as names, addresses, and phone numbers are irrelevant for most analytical purposes and should be removed to protect privacy and comply with data protection regulations .

- URLs and HTML Tags: These are typically not relevant to the analysis and can be removed to clean up the dataset.

- Boilerplate Text: Excessive blank space or boilerplate text (e.g., in emails) adds noise to the data and can be removed.

- Tracking Codes: These are used for tracking user interactions and do not contribute to the analysis.

To implement these steps in Python, Easylibpal might use pandas for data manipulation and filtering. Here's a conceptual example of how to remove irrelevant data:

```python

import pandas as pd

# Load the dataset

dataset = pd.read_csv('your_dataset.csv')

# Remove irrelevant columns (example: email addresses)

dataset = dataset.drop(['email_address'], axis=1)

# Remove rows with missing values (example: if a column is required for analysis)

dataset = dataset.dropna(subset=['required_column'])

# Deduplicate data

dataset = dataset.drop_duplicates()

# Return the cleaned dataset

cleaned_dataset = dataset

```

This example demonstrates how Easylibpal might remove irrelevant data from a dataset using Python and pandas. The actual implementation would need to adapt these steps based on the specific characteristics and requirements of the dataset being processed.

Detecting Inconsistencies

Easylibpal starts by detecting inconsistencies in the data. This involves identifying discrepancies in data types, missing values, duplicates, and formatting errors. By detecting these inconsistencies, Easylibpal can take targeted actions to address them.

Handling Formatting Errors

Formatting errors, such as inconsistent data types for the same feature, can significantly impact the analysis. Easylibpal uses functions like `astype()` in pandas to convert data types, ensuring uniformity and consistency across the dataset. This step is crucial for preparing the data for analysis, as it ensures that each feature is in the correct format expected by the algorithms.

Handling Missing Values

Missing values are a common issue in datasets. Easylibpal addresses this by consulting with subject matter experts to understand why data might be missing. If the missing data is missing completely at random, Easylibpal might choose to drop it. However, for other cases, Easylibpal might employ imputation techniques to fill in missing values, ensuring that the dataset is complete and ready for analysis.

Handling Duplicates

Duplicate entries can skew the analysis and lead to incorrect conclusions. Easylibpal uses pandas to identify and remove duplicates, ensuring that each entry in the dataset is unique. This step is crucial for maintaining the integrity of the data and ensuring that the analysis is based on distinct observations.

Handling Inconsistent Values

Inconsistent values, such as different representations of the same concept (e.g., "yes" vs. "y" for a binary variable), can also pose challenges. Easylibpal employs data cleaning techniques to standardize these values, ensuring that the data is consistent and can be accurately analyzed.

To implement these steps in Python, Easylibpal would leverage pandas for data manipulation and preprocessing. Here's a conceptual example of how these steps might be integrated into the Easylibpal class:

```python

import pandas as pd

class Easylibpal:

def __init__(self, dataset):

self.dataset = dataset

# Load and preprocess the dataset

def clean_and_preprocess(self):

# Detect inconsistencies (example: check data types)

print(self.dataset.dtypes)

# Handle formatting errors (example: convert data types)

self.dataset['date_column'] = pd.to_datetime(self.dataset['date_column'])

# Handle missing values (example: drop rows with missing values)

self.dataset = self.dataset.dropna(subset=['required_column'])

# Handle duplicates (example: drop duplicates)

self.dataset = self.dataset.drop_duplicates()

# Handle inconsistent values (example: standardize values)

self.dataset['binary_column'] = self.dataset['binary_column'].map({'yes': 1, 'no': 0})

# Return the cleaned and preprocessed dataset

return self.dataset

# Usage

Easylibpal = Easylibpal(dataset=pd.read_csv('your_dataset.csv'))

cleaned_dataset = Easylibpal.clean_and_preprocess()

```

This example demonstrates a simplified approach to handling inconsistent or messy data within Easylibpal. The actual implementation would need to adapt these steps based on the specific characteristics and requirements of the dataset being processed.

Statistical Imputation

Statistical imputation involves replacing missing values with statistical estimates such as the mean, median, or mode of the available data. This method is straightforward and can be effective for numerical data. For categorical data, mode imputation is commonly used. The choice of imputation method depends on the distribution of the data and the nature of the missing values.

Model-Based Imputation

Model-based imputation uses machine learning models to predict missing values. This approach can be more sophisticated and potentially more accurate than statistical imputation, especially for complex datasets. Techniques like K-Nearest Neighbors (KNN) imputation can be used, where the missing values are replaced with the values of the K nearest neighbors in the feature space.

Using SimpleImputer in scikit-learn

The scikit-learn library provides the `SimpleImputer` class, which supports both statistical and model-based imputation. `SimpleImputer` can be used to replace missing values with the mean, median, or most frequent value (mode) of the column. It also supports more advanced imputation methods like KNN imputation.

To implement these imputation techniques in Python, Easylibpal might use the `SimpleImputer` class from scikit-learn. Here's an example of how to use `SimpleImputer` for statistical imputation:

```python

from sklearn.impute import SimpleImputer

import pandas as pd

# Load the dataset

dataset = pd.read_csv('your_dataset.csv')

# Initialize SimpleImputer for numerical columns

num_imputer = SimpleImputer(strategy='mean')

# Fit and transform the numerical columns

dataset'numerical_column1', 'numerical_column2' = num_imputer.fit_transform(dataset'numerical_column1', 'numerical_column2')

# Initialize SimpleImputer for categorical columns

cat_imputer = SimpleImputer(strategy='most_frequent')

# Fit and transform the categorical columns

dataset'categorical_column1', 'categorical_column2' = cat_imputer.fit_transform(dataset'categorical_column1', 'categorical_column2')

# The dataset now has missing values imputed

```

This example demonstrates how to use `SimpleImputer` to fill in missing values in both numerical and categorical columns of a dataset. The actual implementation would need to adapt these steps based on the specific characteristics and requirements of the dataset being processed.

Model-based imputation techniques, such as Multiple Imputation by Chained Equations (MICE), offer powerful ways to handle missing data by using statistical models to predict missing values. However, these techniques come with their own set of limitations and potential drawbacks:

1. Complexity and Computational Cost

Model-based imputation methods can be computationally intensive, especially for large datasets or complex models. This can lead to longer processing times and increased computational resources required for imputation.

2. Overfitting and Convergence Issues

These methods are prone to overfitting, where the imputation model captures noise in the data rather than the underlying pattern. Overfitting can lead to imputed values that are too closely aligned with the observed data, potentially introducing bias into the analysis. Additionally, convergence issues may arise, where the imputation process does not settle on a stable solution.

3. Assumptions About Missing Data

Model-based imputation techniques often assume that the data is missing at random (MAR), which means that the probability of a value being missing is not related to the values of other variables. However, this assumption may not hold true in all cases, leading to biased imputations if the data is missing not at random (MNAR).

4. Need for Suitable Regression Models

For each variable with missing values, a suitable regression model must be chosen. Selecting the wrong model can lead to inaccurate imputations. The choice of model depends on the nature of the data and the relationship between the variable with missing values and other variables.

5. Combining Imputed Datasets

After imputing missing values, there is a challenge in combining the multiple imputed datasets to produce a single, final dataset. This requires careful consideration of how to aggregate the imputed values and can introduce additional complexity and uncertainty into the analysis.

6. Lack of Transparency

The process of model-based imputation can be less transparent than simpler imputation methods, such as mean or median imputation. This can make it harder to justify the imputation process, especially in contexts where the reasons for missing data are important, such as in healthcare research.

Despite these limitations, model-based imputation techniques can be highly effective for handling missing data in datasets where a amusingness is MAR and where the relationships between variables are complex. Careful consideration of the assumptions, the choice of models, and the methods for combining imputed datasets are crucial to mitigate these drawbacks and ensure the validity of the imputation process.

USING EASYLIBPAL FOR AI ALGORITHM INTEGRATION OFFERS SEVERAL SIGNIFICANT BENEFITS, PARTICULARLY IN ENHANCING EVERYDAY LIFE AND REVOLUTIONIZING VARIOUS SECTORS. HERE'S A DETAILED LOOK AT THE ADVANTAGES:

1. Enhanced Communication: AI, through Easylibpal, can significantly improve communication by categorizing messages, prioritizing inboxes, and providing instant customer support through chatbots. This ensures that critical information is not missed and that customer queries are resolved promptly.

2. Creative Endeavors: Beyond mundane tasks, AI can also contribute to creative endeavors. For instance, photo editing applications can use AI algorithms to enhance images, suggesting edits that align with aesthetic preferences. Music composition tools can generate melodies based on user input, inspiring musicians and amateurs alike to explore new artistic horizons. These innovations empower individuals to express themselves creatively with AI as a collaborative partner.

3. Daily Life Enhancement: AI, integrated through Easylibpal, has the potential to enhance daily life exponentially. Smart homes equipped with AI-driven systems can adjust lighting, temperature, and security settings according to user preferences. Autonomous vehicles promise safer and more efficient commuting experiences. Predictive analytics can optimize supply chains, reducing waste and ensuring goods reach users when needed.

4. Paradigm Shift in Technology Interaction: The integration of AI into our daily lives is not just a trend; it's a paradigm shift that's redefining how we interact with technology. By streamlining routine tasks, personalizing experiences, revolutionizing healthcare, enhancing communication, and fueling creativity, AI is opening doors to a more convenient, efficient, and tailored existence.

5. Responsible Benefit Harnessing: As we embrace AI's transformational power, it's essential to approach its integration with a sense of responsibility, ensuring that its benefits are harnessed for the betterment of society as a whole. This approach aligns with the ethical considerations of using AI, emphasizing the importance of using AI in a way that benefits all stakeholders.

In summary, Easylibpal facilitates the integration and use of AI algorithms in a manner that is accessible and beneficial across various domains, from enhancing communication and creative endeavors to revolutionizing daily life and promoting a paradigm shift in technology interaction. This integration not only streamlines the application of AI but also ensures that its benefits are harnessed responsibly for the betterment of society.

USING EASYLIBPAL OVER TRADITIONAL AI LIBRARIES OFFERS SEVERAL BENEFITS, PARTICULARLY IN TERMS OF EASE OF USE, EFFICIENCY, AND THE ABILITY TO APPLY AI ALGORITHMS WITH MINIMAL CONFIGURATION. HERE ARE THE KEY ADVANTAGES:

- Simplified Integration: Easylibpal abstracts the complexity of traditional AI libraries, making it easier for users to integrate classic AI algorithms into their projects. This simplification reduces the learning curve and allows developers and data scientists to focus on their core tasks without getting bogged down by the intricacies of AI implementation.

- User-Friendly Interface: By providing a unified platform for various AI algorithms, Easylibpal offers a user-friendly interface that streamlines the process of selecting and applying algorithms. This interface is designed to be intuitive and accessible, enabling users to experiment with different algorithms with minimal effort.

- Enhanced Productivity: The ability to effortlessly instantiate algorithms, fit models with training data, and make predictions with minimal configuration significantly enhances productivity. This efficiency allows for rapid prototyping and deployment of AI solutions, enabling users to bring their ideas to life more quickly.

- Democratization of AI: Easylibpal democratizes access to classic AI algorithms, making them accessible to a wider range of users, including those with limited programming experience. This democratization empowers users to leverage AI in various domains, fostering innovation and creativity.

- Automation of Repetitive Tasks: By automating the process of applying AI algorithms, Easylibpal helps users save time on repetitive tasks, allowing them to focus on more complex and creative aspects of their projects. This automation is particularly beneficial for users who may not have extensive experience with AI but still wish to incorporate AI capabilities into their work.

- Personalized Learning and Discovery: Easylibpal can be used to enhance personalized learning experiences and discovery mechanisms, similar to the benefits seen in academic libraries. By analyzing user behaviors and preferences, Easylibpal can tailor recommendations and resource suggestions to individual needs, fostering a more engaging and relevant learning journey.

- Data Management and Analysis: Easylibpal aids in managing large datasets efficiently and deriving meaningful insights from data. This capability is crucial in today's data-driven world, where the ability to analyze and interpret large volumes of data can significantly impact research outcomes and decision-making processes.

In summary, Easylibpal offers a simplified, user-friendly approach to applying classic AI algorithms, enhancing productivity, democratizing access to AI, and automating repetitive tasks. These benefits make Easylibpal a valuable tool for developers, data scientists, and users looking to leverage AI in their projects without the complexities associated with traditional AI libraries.

[merjashourov]

What are the important topics in the C++ language?

C++ Introduction

C++ Basics

Features

Installation

cout, cin, end

Variable

Data types

Keywords

Operators

Identifiers

Expression

3. Control statement

If-else and it's type

Switch

Loop

Entry control

Exit control

Break statement

Continue statement

Goto statement

Comment statement

4. Function

Call by values and call by reference

Recursion

Storage classes

5. Array

Simple array

Multidimensional array

6. Pointer basic

Pointers

Refrences

Memory management

7. Object and Class

Object oriented programme introduction and benifites and concept

Object class

Constructor

Destructor

Static

Structure

Enumeration

Friend function

Math function

8. Inheritance

9. Polymorphism

10. Abstraction

11. Namespace

12. Strings

13. Exception

Exception handling

Try/catch

User defined

14. Templates

15. Signal handling

16. File and Stream

File and stream

getline()

17. int to string

18. STL (Standard Template Library)

STL components

Vector

Deque

List

Set

Stack

Queue

Priority queue

Map

Multimap

Betset

Algorithm

And many more

19. Iterators and it's concept

20. After above can go through to C++11 and C++17

[cavewithshadows]

(Too Many) Admiral Les Buenamigo Head-Canons

1. Grew up as a family friend of Alonzo Freeman (Alonzo being named after Les’ father), where Les was something of a little brother to Alonzo. 

2. Les has always been fascinated by and talented with engineering.

3. Worked as part of the Support Team for Nova Squadron at Starfleet Academy, which is where he met Carol Mariner. 

4. Introduced Alonzo and Carol to each other, and was one of Alonzo’s groomsmen at the wedding.

5. Assigned to the Galaxy-class Project at Utopia Planitia right out of the Academy... and remained an Ensign for the duration of the project (which was about six years).

6. Pattern emerged where Les was assigned to various projects that would last for years, and only get promoted at the end. (Danube Runabout project, Defiant class project). Meanwhile, his friends are working their way up the ranks, with Alzono already in the Admiralty, and Carol a mid-ranking officer on the Enterprise.

7. Les dreams of making a name for himself in Starfleet, designing the Texas-class starship. Finally, he is assigned to the Prometheus-class Project as a Lieutenant Commander, where he is promised a chance to work on his own project once this is done.

8. Problem is, part of the assignment is the Prometheus’ auto-piloting during Multi-Vector Assault Mode, and while Les is a fantastic engineer, computer programming is not his skillset. But his career is saved when he notices the talents of young Samanthan Rutherford, who IS brilliant with computers.

9. Les basically trades starship parts to Samanthan (for his shuttle races) in exchange for his computer code for Prometheus. The young man gets better parts for his shuttles, Starfleet gets top-running computer code, and Les gets the credit, and, in his mind, a long overdue promotion and chance to work on his own project.

10. Les encourages Samanthan to apply to Starfleet Academy, intending to use him to complete the Texas-class, which Les has now come to envision as an automated starship, based on the Prometheus class. 

11. Unfortunately, there is an “accident” (secretly the result of Samanthan’s demented and evil-prone AI code), but Les can’t let this kill, or even delay, his project. So, he gives a bogus investigative report blaming human error, wipes Samanthan’s memory upon his Cyborg conversion, and uses his connections to arrange a transfer to a different division in Starfleet (Carol’s division, but as a staff officer for some bigwig). (It is because Les covered everything up that he did not discover the AI was the cause of the “accident”, leaving the problem unaddressed for years).

12. Legitimately does good work during the Breen Attack on Earth in the Dominion War, where he jury-rigs a shield that saves a good chunk of Starfleet Command, as well as a visiting member of the Federation Council. The Admiral that Les was a staff officer for was critically injured, so Les was tapped to fill the position temporarily. With his connections to the highly-ranked Alonzo, as well as a grateful Federation Councilor, Les’ position is made permanent.

13. Prior to this, Les was the one to give Beckett Mariner her two years of horse-riding lessons (teaching her how to be a cowgirl, basically), and also tutored her for Early Admission to Starfleet Academy (a la Wesley Crusher, only it worked). 

14. Les is the source of Beckett’s philosophy of ‘rules that get in the way of helping people are better off broken’, because that is how Les justifies his corner-cutting to himself.

15. Used his new rank to help protect Beckett’s career after Beckett went AWOL from her second starship to rescue General K’orin from a Klingon prison. Les’ help ensured that Beckett was not discharged, but instead transferred to Carol’s division of Starfleet (though not to the Cerritos just yet).

16. Les continues to be friendly with Alonzo and Carol, but now that he is in Carol’s division, he quietly stonewalls Carol’s idea for Operation Swing-By until his baby, the Texas-class, is ready, because he likes Carol’s idea and decided to steal it to make a name for himself and his class of starship.

17. The Texas-class is actually a masterclass in starship engineering, and would make an excellent starship, if it hadn’t been for Les’ insistence on making it automated. And if he hadn’t used Samanthan Rutherford’s AI coding (but if he’d used anyone else’s, he wouldn’t have been able to take the credit).

18. Sam Rutherford was assigned to the Cerritos so that Les could keep tabs on him, since it wouldn’t be strange for Les to keep track of his friend Carol’s ship.

19. Les was the one, along with Alonzo, to transfer Beckett to the Cerritos from the Quito, as a genuine friendly favor.

PS: Hello everyone! This is my first major post here! I had a lot of fun thinking these up, and I hope it captures the right feel for this character. Les is someone sociopathic and self-obsessed, but slick. There should be enough here to justify Beckett calling him “Uncle Les”, and for his corruption to be unthinkable to Carol. Not only that, but he has to go from Lieutenant Commander (as seen in Rutherford’s cyborg-based memory) to Vice Admiral in only a few years. Go ahead and share any thoughts or head-canons you have about him as well!

[fuckblast]

Damn yeah I agree with prev, telling high schoolers (12-19) to avoid "common and trite" images fucking sucks like who's got the fundamentals so down by then. You're in high school! Draw feathers and angels and birds and stuff on fire! Elementary?? You're not professional fucking artists!! At all!!

There might be some people out there who learning how to replicate a popular shoe logo is helpful for! In my digital design class we used existing sports logos to practice vectors.

And even then literally who gives a shit. If someone is grasping the principles you want to impart while drawing a puffy cloud, who gives a shit.

have i ever shown you guys my professor’s DNI list

[foundationclasses]

Full Chapter Class 12 Current Electricity as per NCERT 2025

CBSE Class 12 Class 12 Physics Chapter 3:

CBSE Notes of Class 12 for Chapter 3 Current Electricity provides a detailed overview of the fundamental concepts related to electric current and the principles governing its flow through conductors.

These notes have been carefully made by the teachers at MKC Prayagraj (Major Kalshi Classes) to help Class 12 students understand the topics clearly and prepare well for their exams.

This chapter covers important topics such as Ohm's Law, which explains the relationship between voltage, current, and resistance in a circuit. It also includes the concepts of resistivity, conductivity, and the temperature dependence of resistance. 

These notes are designed to help students understand the intricacies of current electricity, preparing them for both theoretical and practical aspects of the subject.

Current Electricity Overview

CBSE Class 12 Physics Notes for Chapter 3 Current Electricity  have been prepared by subject experts of MKC. These notes cover the basics of electric current, Ohm's Law, resistivity, and conductivity, as well as how temperature affects resistance. 

They also explain how resistors work in series and parallel, and how to use Kirchhoff's laws to solve complex circuits. These notes are designed to make difficult topics easier to understand, making them a valuable resource for students learning about current electricity.

CBSE Class 12 Physics Notes Chapter 3 PDF

CBSE Class 12 Physics Notes for Chapter 3 Current Electricity are available for download in PDF format through the link provided below. These notes are designed to help students grasp key concepts such as electric current, Ohm's Law, and circuit analysis. 

With clear explanations and practical examples these notes are a great resource for thorough preparation. Download the PDF to access detailed explanations and enhance your understanding of current electricity.

CBSE Class 12 Physics Notes Chapter 3 Current Electricity PDF

Physics Notes Chapter 3 Current Electricity

Here are important notes for Class 12 students on CBSE Physics Chapter 3 Current Electricity. This chapter explains the basics of electric current which is the flow of electric charge through a conductor.

It also covers current carriers like electrons in metals and ions in solutions that move to create the current. The chapter talks about drift velocity which is the average speed of these carriers when an electric field is applied. 

You’ll also learn about Ohm's Law, Kirchhoff’s Rules and how resistors work in circuits. These notes are helpful for understanding how electricity flows in circuits.

Electric Current

Electric current is the flow of electric charge through a conductor. In most cases, this charge is carried by electrons moving through a wire or other conductive material. The amount of electric charge that flows through a conductor per unit time is defined as the current which is represented by the symbol II I.

It is important to note that electric current is considered a scalar quantity . Even though it has a direction (from positive to negative terminal), it is not a vector because it does not follow the rules of vector addition.

Current Carriers

Current carriers are the charged particles that move through a conductor to create an electric current. Depending on the type of material (solid, liquid, or gas), the nature of these current carriers can vary:

In Solids :

The most common current carriers in solids, especially metals, are electrons . In metallic conductors, free electrons move through the lattice of positive ions when an electric field is applied, resulting in a current.

Metals have a large number of free electrons that are not bound to any particular atom, allowing them to move easily through the material.

In Liquids :

In liquids, the current is carried by ions . When an electric field is applied, positive ions (cations) move towards the negative electrode (cathode), and negative ions (anions) move towards the positive electrode (anode).

This movement of ions constitutes an electric current. An example of this is the conduction of electricity in saltwater or any other electrolyte solution.

In Gases :

In gases, current carriers are a mix of electrons and ions . Normally, gases are poor conductors, but under certain conditions (like high voltage), they can become ionized.

In ionized gases, free electrons and ions move under the influence of an electric field, resulting in a current. This phenomenon is commonly seen in neon signs or lightning.

Drift Velocity

Drift velocity is the average velocity that a charged particle, such as an electron, attains due to an electric field applied across a conductor. It represents the net motion of charge carriers in a conductor when an electric field is applied. 

Drift velocity is different from the random thermal velocity of the particles, which is much higher.

Ohm’s Law

Ohm’s Law is a fundamental principle in electrical engineering and physics that relates the voltage, current, and resistance in an electrical circuit. It states that the current through a conductor between two points is directly proportional to the voltage across the two points, provided the temperature remains constant.

Drawbacks of Ohm’s Law

While Ohm's Law is widely applicable, it has certain limitations and does not apply to all materials and situations:

Non-Linear V-I Relationship : Ohm's Law assumes a linear relationship between voltage and current. If the relationship between V and I is non-linear, Ohm's Law does not apply. This nonlinearity can occur in devices like diodes and transistors, where the resistance changes with the voltage or current.

Dependence on Voltage Sign : In some materials and devices, the relationship between current and voltage can depend on the sign of the voltage. For example, certain semiconductor devices may exhibit different behaviors when the polarity of the applied voltage changes, leading to a non-Ohmic behavior.

Non-Unique Relation : Ohm's Law implies a unique resistance for a given conductor. However, in practical scenarios, the resistance can vary with factors like temperature, frequency of the applied voltage, and the presence of impurities. This makes the relation between current and voltage non-unique in some cases.

Electrical Resistance

Electrical Resistance is a measure of how much a material opposes the flow of electric current. It quantifies how difficult it is for electric charge to pass through a conductor

or component. Understanding electrical resistance is crucial for analyzing and designing electrical circuits.

Colour Code for Carbon Resistors

Colour Code for Carbon Resistors is a system used to identify the value of a resistor through a series of coloured bands printed on its body. 

Each colour represents a specific digit or multiplier, and the combination of these colours gives the resistance value of the resistor. This code system simplifies the process of reading resistor values without needing to measure them directly.

Here is a overview of how the colour code works:

First Band : Represents the first significant digit of the resistor value.

Second Band : Represents the second significant digit.

Third Band : Represents the multiplier (which tells you the power of ten by which the combined digits should be multiplied).

Fourth Band (if present) : Represents the tolerance, which indicates how much the actual resistance might vary from the stated value.

What Are Kirchhoff’s Rules?

Kirchhoff’s Rules are fundamental principles used to analyze electrical circuits. They are important for solving complex circuits involving multiple resistors, power sources, and other components. There are two primary rules:

1. Kirchhoff’s Voltage Law (KVL)

Statement : The algebraic sum of all the voltages around any closed loop in a circuit is zero.

Explanation : KVL is based on the conservation of energy. In a closed circuit loop, the total amount of energy gained from voltage sources (like batteries) must be equal to the total amount of energy lost in resistive elements (like resistors). Therefore, when you sum up all the voltage rises and drops around a loop, they must add up to zero.

2. Kirchhoff’s Current Law (KCL)

Statement : The sum of currents entering a junction (or node) in a circuit is equal to the sum of currents leaving the junction.

Explanation : KCL is based on the principle of conservation of electric charge. At any electrical junction, the amount of current flowing into the junction must equal the amount of current flowing out. This ensures that charge is neither created nor destroyed at the junction.

Potentiometer

A potentiometer is a versatile electrical device used to measure and compare potential differences (voltages) with high accuracy. It operates based on the principle of measuring voltage by balancing it against a known reference voltage.

Combination of resistors

Resistors are objects used to restrict the flow of charges in any conductor. However, these individual resistors can be arranged in different patterns to obtain different results. Resistors can be connected in 2 main ways:

In series

In parallel

Resistors in parallel

Resistors in parallel means when resistors are connected one below the other. All ends are connected to a common junction.

The above image shows that four resistors, R1, R2, R3, and R4, are connected in parallel. A potential difference V is applied at its ends.

Some important properties

Equivalent resistance R is

1/R = 1/R1 + 1/R2 + 1/R3 + 1/R4

The potential difference across each resistor is the same.

The electric current ‘I’ drawn from the source equals the sum of currents flowing through individual currents.

I = I1 + I2 + I3 + I4

Benefits of CBSE Class 12 Physics Notes Chapter 3 Current Electricity

Comprehensive Understanding : The notes provide a thorough explanation of key concepts in current electricity, such as electric current, drift velocity, Ohm’s Law, electrical resistance, and more. This comprehensive coverage helps students grasp fundamental principles clearly.

Clarity on Core Concepts : Topics like electric current, current carriers, and drift velocity are explained in a detailed yet easy-to-understand manner, making complex concepts more accessible to students.

Detailed Examples : The notes include detailed examples and problems, which help students apply theoretical concepts to practical situations, enhancing their problem-solving skills.

Key Formulas and Definitions : Important formulas, definitions, and laws such as Kirchhoff’s laws and Ohm’s Law are highlighted, providing quick reference points for study and revision.

Exam Preparation : The notes are structured to align with the CBSE curriculum, making them an excellent resource for exam preparation. They include common questions and answers that are likely to appear in exams.

Application of Concepts : The section on the colour code for carbon resistors and resistor combinations helps students understand practical applications and real-life uses of current electricity concepts.

Concept Reinforcement : By covering topics like current density, conductance, and electrical conductivity in detail, the notes reinforce students' understanding and provide a solid foundation for more advanced studies in physics.

Current Electricity Class 12 | NCERT Solutions & Full Chapter Guide

Struggling with Class 12 Physics Chapter. Current Electricity? You're not alone. This chapter is concept-heavy and crucial for scoring in CBSE Boards, JEE, NEET, and NDA. But don't worry. MKC (Major Kalshi Classes) has made it easy for you!

What You’ll Get in MKC's Full Chapter Guide:

NCERT-based Notes & Solutions by expert faculty

Step-by-step breakdown 

Solved numerical examples & past year questions

Quick revision tips & visual concept explanations

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FAQ

Q1. What is electric current and how is it measured?

Ans: Electric current is the flow of electric charge through a conductor, typically carried by electrons. It is measured in amperes (A) and represented by the symbol I. The formula is:

I=QtI = \frac{Q}{t}I=tQ​

Where Q = charge (in coulombs), t = time (in seconds).

Q2. What is Ohm’s Law?

Ans: Ohm’s Law states that the current (I) passing through a conductor between two points is directly proportional to the voltage (V) across the two points, provided temperature remains constant.

V=IRV = IRV=IR

Where R is the resistance in ohms (Ω).

Q3. What are the limitations of Ohm’s Law?

Ans:

Not applicable to non-ohmic devices like diodes and transistors.

Fails when the temperature of the conductor changes.

Not valid if the V-I relationship is non-linear.

Q4. What is drift velocity?

Ans: Drift velocity is the average velocity acquired by charge carriers (like electrons) in a conductor under the influence of an electric field. It is typically very small.

Q5. What is the difference between conductance and conductivity?

Ans:

Conductance (G) is the reciprocal of resistance: G=1RG = \frac{1}{R}G=R1​

Conductivity (σ) is a material property that describes how well a material conducts electricity. It is the reciprocal of resistivity.

Q6. What are Kirchhoff’s Rules?

Ans:

Kirchhoff’s Current Law (KCL): The sum of currents entering a junction equals the sum leaving it.

Kirchhoff’s Voltage Law (KVL): The sum of potential differences around any closed loop in a circuit is zero.

Q7. What is the colour code for carbon resistors?

Ans: Carbon resistors use coloured bands to represent resistance values.

1st & 2nd bands: Significant digits

3rd band: Multiplier

4th band: Tolerance Example: Red (2), Violet (7), Orange (×1000), Gold (±5%)

Q8. How are resistors connected in series and parallel?

Ans:

Series: Req=R1+R2+R3+...R_{eq} = R_1 + R_2 + R_3 + ...Req​=R1​+R2​+R3​+... Same current flows through all resistors.

Parallel: 1Req=1R1+1R2+...\frac{1}{R_{eq}} = \frac{1}{R_1} + \frac{1}{R_2} + ...Req​1​=R1​1​+R2​1​+...

Voltage across each resistor is the same.

Q9. What are current carriers in different states of matter?

Ans:

Solids (metals): Free electrons

Liquids: Ions (cations and anions)

Gases: Electrons and ions (only when ionized)

Q10. What is a potentiometer and its application?

Ans: A potentiometer is an instrument used to measure potential differences accurately by balancing them against a known voltage. It is commonly used in comparing emf of cells and calibrating voltmeters.

Q11. Why is electric current considered a scalar quantity?

Ans: Despite having a direction, electric current is considered scalar because it does not follow vector addition laws and only magnitude matters in calculations.

Q12. What is the unit of resistivity and conductivity?

Ans:

Resistivity (ρ): ohm-meter (Ω·m)

Conductivity (σ): siemens per meter (S/m)

Q13. How does temperature affect resistance?

Ans: In most conductors, resistance increases with temperature due to increased collision of electrons. In semiconductors, resistance typically decreases with temperature.

[drmikewatts]

Soft Computing, Volume 29, Issue 6, March 2025

1) On subresiduated lattice ordered commutative monoids and some of its subvarieties

Author(s): Juan Manuel Cornejo, Hernán Javier San Martín, Valeria Anahí Sígal

Pages: 2517 - 2529

2) Dynamic updating approximations of local multigranulation neighborhood covering rough sets

Author(s): Qi Shi, Yan-Lan Zhang

Pages: 2531 - 2550

3) Relationships between various ideals in L-algebra

Author(s): S. Saidi Goraghani, R. A. Borzooei

Pages: 2551 - 2562

4) Numerical algorithm for solving third-order Emden–Fowler type pantograph differential equations: Taylor operational matrix method

Author(s): Nikita Saha, Randhir Singh

Pages: 2563 - 2579

5) L-fuzzy transforms: an operator-oriented approach

Author(s): A. P. Singh, S. P. Tiwari, I. Perfilieva

Pages: 2581 - 2593

6) A golden section-based group decision-making approach to software trustworthiness evaluation

Author(s): Chuan Yue

Pages: 2595 - 2618

7) The impact of hydrogen energy storage aqua electrolyzer fuels cell on automatic generation control of power system using optimal FGS PID controller

Author(s): Ankur Rai, Dushmanta Kumar Das

Pages: 2619 - 2638

8) Choquet integral in ranking data: on the construction of a measure of importance and interaction

Author(s): M. Eugenia Cornejo, Jesús Medina, Andreja Tepavčević

Pages: 2639 - 2651

9) Applications of integrals and extreme value of solution of uncertain age-dependent population equation with migration source

Author(s): Lu Yang

Pages: 2653 - 2668

10) A modified slacks-based measure of efficiency and super-efficiency under zero and negative data

Author(s): Ehsan Zanboori

Pages: 2669 - 2686

11) Optimal stress levels and inference procedures for constant stress accelerated life test under bathtub-shaped lifetime model

Author(s): Çağatay Çetinkaya

Pages: 2687 - 2714

12) Fc-gcn: A formal concept-enhanced graph convolution network model

Author(s): Kai Wu, Chao Zhang, Vincenzo Loia

Pages: 2715 - 2725

13) A model-free feature extraction procedure for interval-valued time series prediction

Author(s): Wan Tian, Zhongfeng Qin, Tao Hu

Pages: 2727 - 2741

14) Neutrosophic multi-choice 4D-transportation problem for different quality items

Author(s): Dipankar Chakraborty, Sarbari Samanta, Dipak Kumar Jana

Pages: 2743 - 2767

15) Optimizing energy harvesting in web of things services: a metaheuristic approach with retrial queue under working vacation

Author(s): N. Micheal Mathavavisakan, K. Indhira, Sherif I. Ammar

Pages: 2769 - 2790

16) Differentiation or undifferentiation? analysis of car-sharing strategies for the vehicle manufacturer

Author(s): Xin Yu, Zhongwei Chen, Zhi-Ping Fan

Pages: 2791 - 2806

17) A two-stage optimization replacement policy with multiple spare units

Author(s): Chunxiao Zhang, Hejiao Shen, Chao Yan

Pages: 2807 - 2817

18) A new model for facility bus terminal location problem based on modified Kerre’s inequality

Author(s): Sahar Rahdar, Reza Ghanbari, Donya Heidari

Pages: 2819 - 2828

19) A new metaheuristic optimization algorithm based on the participation of smart students to increase the class performance

Author(s): Einollah Pira, Alireza Rouhi

Pages: 2829 - 2844

20) A novel stochastic machine learning approach for resilient-leagile supplier selection: a circular supply chain in the era of industry 4.0

Author(s): Bahar Javan Molaei, Mohssen Ghanavati-Nejad, Mohammad Sheikhalishahi

Pages: 2845 - 2866

21) An arithmetic–geometric mean difference based approach to consistency index and priority vector of pairwise comparison matrices

Author(s): Yuan-Kai Hu, Fang Liu, Shi-Shan Wang

Pages: 2867 - 2884

22) On pure ideals in semilattices

Author(s): Nilesh Mundlik, Mayur Kshirsagar

Pages: 2885 - 2889

23) Innovative image encryption approach based on bitwise XOR high nonlinear S-boxes and random permutation

Author(s): Fırat Artuğer

Pages: 2891 - 2903

24) Evolutionary optimization in VANET services: a comprehensive survey, challenges and futuristic approach

Author(s): Madhuri Badole, Anuradha Thakare, Diego Oliva

Pages: 2905 - 2929

25) Wind farm layout optimization based on Harris hawk optimization algorithm with variable weight coefficients and Jansen wake model

Author(s): Min Wang, Jie-Sheng Wang, Yu-Cai Wang

Pages: 2931 - 2969

26) Construction and empirical research of a subjective-and-objective-analysis model of the online learning behavior

Author(s): Ke Wang, Kun Zheng, Ying Wang

Pages: 2971 - 2982

27) A synchronous spatiotemporal graph neural network for short-term traffic flow prediction

Author(s): Zhao Zhang, Xiaohong Jiao

Pages: 2983 - 2997

28) Modeling of metaheuristic-based dual cluster head selection with routing protocol for energy-efficient wireless sensor networks

Author(s): Maddikera Krishna Reddy, Anusha Sowbarnika Veluswamy, Syed Shameem

Pages: 2999 - 3020

29) Expansive detector via hybrid temporal and transposed convolutional mechanism for weld proximity defects

Author(s): Zihua Chen, Runmei Zhang, Kuan-ching Li

Pages: 3021 - 3034

30) Forecasting of exchange rate time series based on event-aware transformer mode

Author(s): Siyi Zhang, Tong Che, Ping Feng

Pages: 3035 - 3045

31) Sustainability, innovation and knowledge: a complex relationship based on an empirical study

Author(s): Sebastian-Ion Ceptureanu, Eduard-Gabriel Ceptureanu, Adriana Lavinia Iancu

Pages: 3047 - 3062

32) Why does economics need complexity?

Author(s): Mauro Gallegati, Silvia Gallegati

Pages: 3063 - 3072

33) A review for finding determinants of some band matrices

Author(s): Maryam Shams Solary

Pages: 3073 - 3082

34) Modeling and simulating a startup ecosystem development with a delayed differential equation

Author(s): Alessio Brini, Viviana Fanelli

Pages: 3083 - 3095

35) Explainable Grouped Deep Echo State Network for EEG-based emotion recognition

Author(s): Samar Bouazizi, Hela Ltifi

Pages: 3097 - 3114

[1358456]

Math!

I had a good chat with my friend today, and among various stuff discussed, one thing particularly caught my attention and intrigue. And that is... why so many people, including said friend, hated math in high school.

Friend: "I really hated math in high school." Me: "Heh. Now that's something you shouldn't say in front of someone who majored in pure math." Friend: "I suppose. But really though. If you weren't in those classes too, I would've been doomed."

A little homage to a previous conversation several years ago...

Me: "Vote? Me? Heh. I don't give a damn. I still haven't voted once, and most likely never will." Friend: "Aww, that's not something you say in front of someone who majored in political science." Me: "Heh. Maybe."

Anyways. The whole "I hated math in high school" thing... I heard it a lot over the years, and the reason is almost always because of trigonometry. It feels like, the moment sin and cos enter the field, a solid half of the students are like "f*ck this, I'm out". Only a small few get to hate math because of how it just blows their mind. When a + b no longer equals b + a, or when you can make a cone that has finite volume but infinite surface area, which means you can fill it up with paint but never be able to fully paint the interior... hehe. There are things that are mathematically possible but realistically impossible, usually when dealing with infinite or near 0 numbers.

So, many people hate the whole trigonometry thing, and I kind of get it. It's not something you'll ever need outside of math class for a vast majority of people. So they complain why the hell were they forced to sit through all that? And the answer is... well, it sucks for them. Because the thing is, trigonometry is so basic and fundamental in everything math, that it can't be pushed back to university or grade 12, even, when math is no longer mandatory. In university, you need to be very familiar with everything trig right off the bat, or you're f*cked. There are two irrational numbers that appear absolutely everywhere in math, to the point that I believe those the signatures of the one who created math, and those are e and pi. e being the natural number (the natural number is not a natural number...), and pi being... that pi. Why are they everywhere? Because e^x is everywhere and sin and cos are also everywhere. But at least those who hated math got to escape while the angles were still in degrees, no one had to worry about integrating using trig identities, and when you were still actually evaluating sin and cos.

The next most common math complaint I heard, which I only heard while I was tutoring grade 12 students, is... why is the course "calculus and vectors" when vectors have nothing to do with calculus? It's like... in the middle of the course, you suddenly abandon the entirety of the first half to learn something completely unrelated. And then you have to re-remember the first half for the exam! The answer for that one is because the grade 12 curriculum got changed in a very dumb manner. Calculus was too hard so they pulled calculus out of calculus and the remaining husk became "advanced functions". And that was because the grade 11 math course was called "functions" so they couldn't use that name again. And calculus by itself was too short so they pulled vectors out of the removed geometry course and now it's "calculus and vectors". ... And then in university I had to do vector calculus! "Oh, so this is where it merges..." heh. Just the concept of f(x) blows some people's minds. Well, here's f(x, y) for starters! ... And drawing 4D graphs...

Of course, this is just referring to the Ontario math curriculum. So those who live outside of Ontario, Canada, which would be... most everyone, your high school math woes (if you had 'em) might be a little different. But I'm betting that trig stuff was still the kicker.

[valiaschoolofmanagement]

MHT-CET 2025

Table of Contents

What is MHT CET Exam?

MHT CET 2025 latest news and updates

MHT CET 2025 Highlights

What is the Exam date of MHT CET 2025?

MHT CET 2025 Important Dates and Schedule

MHT CET 2025 Eligibility Criteria

MHT CET 2025  exam syllabus 2025

MHT CET Exam Pattern 2025

MHT CET 2025 Application Fee

Documents required to fill MHT CET application form 2025.

How to fill the MHT CET application form 2025?

How to download MHT CET admit card 2025?

MHT CET 2025 Preparation Tips

MHT CET 2025 registration last date

How to check MHT CET result 2025?

MHT CET Score Accepting Colleges

MHT CET 2025 FAQs

What is MHT CET Exam?

The Maharashtra Common Entrance Test (MHT CET) is a yearly exam. It is organized by the State Common Entrance Test Cell in Maharashtra. This is the entry point for students who want to join PGDM and undergraduate courses in Engineering, Pharmacy, and Agriculture in Maharashtra. The exam tests candidates’ skills in subjects such as Physics, Chemistry, Mathematics, and Biology. This depends on the course they choose. For MHT CET 2025, the exams for the PCB (Physics, Chemistry, Biology) group are set for April 9 to 17. The PCM (Physics, Chemistry, Mathematics) group exams will occur from April 19 to 27. Aspiring candidates must have completed their 10+2 education or its equivalent to be eligible.

The application process is online. Applicants should regularly check official notifications to submit on time. Success in MHT CET can lead to respected institutions like Valia School of Management College. They offer quality PGDM education and promising career paths.

MHT CET 2025 Latest News and Updates

Exam Dates Announced: The Maharashtra Common Entrance Test (MHT CET) 2025 will be conducted on the following dates:​

PCM Group: April 19 to 27, 2025 (excluding April 24).​

PCB Group: April 9 to 17, 2025 (excluding April 10 and 14).​

Application Process:

The registration for MHT CET 2025 started on December 30, 2024.​

The deadline for application submission without a late fee was February 15, 2025.​

Applicants were allowed to register with a late fee until February 28, 2025.​

Correction Window: Candidates had the opportunity to correct their application forms from March 10 to 12, 2025.​

Admit Cards: The admit cards for MHT CET 2025 are expected to be released in April 2025.​

Syllabus Updates: The State Common Entrance Test Cell has introduced changes to the Class 11 syllabus for MHT CET 2025, including additions in Physics (vectors and error analysis), Chemistry (chemistry in everyday life), and Mathematics (conic sections), while removing the topic of measures of dispersion.​

Exam Pattern: The revised exam pattern for MHT CET 2025 has been made available online, detailing the structure and format of the examination.

Normalization Process: For exams conducted in multiple shifts with varying difficulty levels, the State CET Cell has released a normalization method to ensure fairness in score calculation. This process applies to exams such as the MAH MBA CET 2025, scheduled between April 1 and 3, and the MAH MCA CET 2025, which concluded on March 23.​

Admit Card Release for MBA/MMS CET: The admit cards for the MAH MBA/MMS CET 2025 were released on March 25, 2025. Registered candidates can download their exam call letters from the official website.​

MHT CET 2025 Highlights

AspectDetailsExam NameMaharashtra Common Entrance Test (MHT CET)Conducting AuthorityState Common Entrance Test Cell, MaharashtraFrequencyAnnuallyExam LevelState-levelCourses OfferedUndergraduate courses in Engineering, Pharmacy, and AgricultureApplication ModeOnlineExam ModeOnline (Computer-Based Test)Exam DatesPCM Group: April 19 to 27, 2025 (excluding April 24, 2025)PCB Group: April 9 to 17, 2025 (excluding April 10 and 14, 2025)Exam Duration3 hours (180 minutes)Subjects CoveredPCM Group: Physics, Chemistry, Mathematics.PCB Group: Physics, Chemistry, BiologyQuestion DistributionClass 11 Syllabus: 20% of questionsClass 12 Syllabus: 80% of questionsMarking SchemePhysics & Chemistry: 1 mark per questionMathematics: 2 marks per questionBiology: 1 mark per questionNo Negative MarkingLanguage OptionsPhysics & Chemistry: English/Marathi/UrduMathematics: EnglishBiology: English/Marathi/UrduOfficial Websitecetcell.mahacet.org

What is the Exam Date of MHT CET 2025?

The Maharashtra Common Entrance Test (MHT CET) 2025 is a key exam for students aspiring to pursue undergraduate courses in engineering, pharmacy, and other related fields. For the year 2025, the exam dates are scheduled as follows:

Engineering (PCM Group): April 19 to April 27, 2025 (excluding April 24)

Pharmacy (PCB Group): April 9 to April 17, 2025 (excluding April 10 and 14)

These dates are subject to change, so candidates should frequently check the official MHT CET website ( https://cetcell.mahacet.org/  ) for any updates.

Valia School of Management accepts the MHT CET exam for its Post Graduate Diploma in Management (PGDM) programs. If you’re considering applying for PGDM at VSM, staying updated on the MHT CET exam schedule is important. The MHT CET serves as a primary route for admission, and timely preparation can help you achieve the best possible result.

Make sure you don’t miss the exam window, and start preparing well in advance for a successful application to Valia School of Management.

MHT CET 2025 Important Dates and Schedule

The Maharashtra Common Entrance Test (MHT CET) is a gateway for students aiming to pursue various undergraduate and postgraduate programs in Maharashtra. Below is the detailed schedule for MHT CET 2025 to keep you on track for the exam and its associated processes:EventDateApplication Start DateMarch 1st, 2025Last Date to ApplyMarch 31st, 2025Admit Card ReleaseApril 10th, 2025MHT CET 2025 Exam (PCM Group)May 15th–17th, 2025MHT CET 2025 Exam (PCB Group)May 18th–20th, 2025Result DeclarationJune 30th, 2025Counseling Start DateJuly 5th, 2025Counseling Registration DeadlineJuly 15th, 2025

MHT CET 2025 Key Details You Should Know:

Eligibility: Available for students who have completed or are in their final year of 12th grade with relevant subjects.

Mode of Exam: The exam will be computer-based, offering a smooth and modern testing experience.

Subject Options: Students can appear for either PCM (Physics, Chemistry, Mathematics) or PCB (Physics, Chemistry, Biology).

Languages Available: English, Marathi, and Urdu.

Why You Should Prepare Ahead:

Time Management: Knowing the schedule will help you plan your study timetable and focus on essential topics.

Avoid Last-Minute Rush: Apply early to avoid complications with the registration process and ensure timely receipt of your admit card.

MHT CET 2025 Eligibility Criteria

To ensure that you’re eligible to appear for the MHT CET 2025 exam, you must meet the following criteria. 

1. Nationality Requirements

Only Indian Nationals are eligible to apply for MHT CET 2025.

Overseas Citizens of India (OCI) and Persons of Indian Origin (PIO) are also allowed to apply for certain courses, provided they fulfill all the eligibility conditions.

2. Educational Qualifications

For Engineering & Technology Courses (PCM Group):

Candidates must have passed the 12th or equivalent exam with at least 50% aggregate marks (45% for reserved categories) in Physics, Chemistry, and Mathematics.

For Health Science Courses (PCB Group):

Students must have passed the 12th exam with at least 50% aggregate marks (45% for reserved categories) in Physics, Chemistry, and Biology.

For Other Courses (e.g., Pharmacy):

Students must have passed the 12th exam with relevant subjects like Physics, Chemistry, and Mathematics/Biology, depending on the course.

3. Domicile Requirements

Maharashtra Domicile Students:

Maharashtra residents and students from the state are given preference in category-based seat allotment.

Other State Students:

Students from outside Maharashtra can apply, but will be considered under the All India category for admission purposes.

4. Age Criteria

There is no upper age limit for MHT CET 2025, making it accessible to students of any age group.

5. Minimum Marks in 12th Grade

General Category: A minimum of 50% marks in 12th grade is required.

Reserved Category: Candidates from reserved categories (SC, ST, OBC) need at least 45% marks.

6. Course-Specific Eligibility

Certain professional courses (like Engineering, Medical, and Pharmacy) may have additional eligibility criteria based on your educational background. Be sure to check the specific requirements for the course you wish to pursue.

MHT CET 2025  Exam Syllabus 2025

The MHT CET 2025 exam syllabus is designed to test the knowledge and understanding of students in various subjects. Here’s a breakdown of the syllabus for students preparing for the MHT CET 2025:

MHT CET 2025 Syllabus Overview:

The MHT CET 2025 syllabus is divided into two major categories based on the subject stream: PCM (Physics, Chemistry, Mathematics) and PCB (Physics, Chemistry, Biology). Both streams will test students on their understanding of concepts taught in the 11th and 12th grades.

1. MHT CET 2025 Syllabus for PCM (Physics, Chemistry, Mathematics)

Physics:

Mechanics: Laws of motion, work-energy theorem, rotational motion

Electrostatics: Coulomb’s law, electric fields, potential and capacitance

Optics: Reflection, refraction, optical instruments

Thermodynamics: Laws of thermodynamics, heat engines, entropy

Chemistry:

Physical Chemistry: Chemical kinetics, equilibrium, thermodynamics, acids & bases

Inorganic Chemistry: Periodic table, p-block elements, d- and f-block elements

Organic Chemistry: Hydrocarbons, alcohols, phenols, and ethers

Mathematics:

Algebra: Polynomials, quadratic equations, matrices, determinants

Calculus: Differentiation, integration, limits, continuity

Coordinate Geometry: Straight lines, circles, parabola

Vectors and 3D Geometry: Vector operations, planes, lines in space

2. MHT CET 2025 Syllabus for PCB (Physics, Chemistry, Biology):

Physics:

Mechanics: Laws of motion, friction, work-energy theorem

Optics: Reflection, refraction, optical instruments

Electromagnetism: Magnetic fields, Gauss’s law, electromagnetic waves

Chemistry:

Organic Chemistry: Hydrocarbons, biomolecules, polymers

Inorganic Chemistry: Elements and periodic table, chemical bonding

Physical Chemistry: Chemical equilibrium, solutions, colligative properties

Biology:

Cell Biology: Cell structure, cell division, biomolecules

Human Physiology: Digestive, respiratory, circulatory systems

Plant Physiology: Photosynthesis, transpiration, plant hormones

Genetics and Evolution: Mendelian inheritance, molecular genetics, evolution theory

MHT CET 2025 Exam Pattern

The MHT CET 2025 exam pattern is structured to assess a candidate’s knowledge in subjects such as Physics, Chemistry, Mathematics, and Biology. Below is detailed information about the MHT CET 2025 exam pattern to help you understand the structure and prepare effectively:

1. Mode of Examination

The MHT CET 2025 will be a Computer-Based Test (CBT), conducted online for a seamless testing experience.

2. Total Number of Questions

Total Questions in MHT CET 2025: 200 questions in total, divided into subject groups:

PCM Group (Physics, Chemistry, Mathematics): 150 questions

PCB Group (Physics, Chemistry, Biology): 150 questions

3. Subject-wise Distribution

For PCM Group:

Physics: 50 questions

Chemistry: 50 questions

Mathematics: 50 questions

For PCB Group:

Physics: 50 questions

Chemistry: 50 questions

Biology: 50 questions

4. Type of Questions

The MHT CET 2025 will consist of Multiple Choice Questions (MCQs), with four options, where only one option is correct.

5. Marking Scheme

Correct Answer: +1 mark for each correct answer.

No Negative Marking: There is no penalty for incorrect answers in MHT CET 2025.

6. Duration of the Exam

The MHT CET 2025 exam will be of 3 hours (180 minutes) duration.

7. Difficulty Level

The MHT CET 2025 exam will test your conceptual knowledge and problem-solving skills. The level of difficulty is generally based on the syllabus prescribed by the Maharashtra State Board for 11th and 12th grades.

8. Language Options

The MHT CET 2025 will be available in three languages: English, Marathi, and Urdu.

9. Syllabus Coverage

The exam will primarily focus on topics from the 11th and 12th grades under the Maharashtra State Board syllabus, ensuring a fair and standardized evaluation for all candidates.

Why You Should Know the MHT CET 2025 Exam Pattern:

Time Management: Understanding the MHT CET 2025 exam pattern will help you manage your time effectively during the test.

Focused Preparation: Knowing the number of questions, subject distribution, and type of questions will allow you to create a focused study plan for MHT CET 2025.

MHT CET 2025 Application Fee

The MHT CET 2025 application process includes an application fee that must be paid during registration. Below are the details about the application fee structure and payment process:

MHT CET 2025 Application Fee Details:

General Category (Maharashtra State, All India): ₹800

Reserved Category (Maharashtra State): ₹600

Female Candidates (Maharashtra State, All India): ₹600

Outside Maharashtra State (OMS): ₹800

Person with Disability (PWD): ₹600

MHT CET 2025 Payment Methods:

Online Payment: Through Credit/Debit Card, Net Banking, or UPI.

Offline Payment: Not applicable. Only online payment options are accepted.

Important Points to Note:

The application fee is non-refundable, so double-check your details before making the payment.

Make sure  you pay the fee before the last date to avoid issues with your registration.

Keep a copy of the payment receipt for future reference.

Documents Required to Fill MHT CET 2025 Application Form

When applying for MHT CET 2025, it’s essential to have all the required documents ready to ensure a smooth and successful application process. Below is the list of documents you’ll need to submit while filling out the MHT CET 2025 application form:

Valid Email ID and Mobile Number

These will be used for communication regarding your MHT CET 2025 application status, updates on the exam, admit card release, and results.

Scanned Photograph

A recent passport-sized photograph in JPEG format (size: 20KB to 50KB). Ensure your photograph meets the specifications mentioned on the official portal for MHT CET 2025.

Scanned Signature

Your signature in JPEG format (size: 10KB to 20KB). Make sure your signature is clear and legible, as it will be used throughout the MHT CET 2025 process.

Valid ID Proof

A government-issued ID like Aadhaar Card, Passport, Voter ID, or Driving License is required for identity verification during MHT CET 2025.

Class 10 Marksheet

This is necessary for proof of your date of birth and educational qualifications while applying for MHT CET 2025.

Class 12 Marksheet (or Equivalent)

Required for candidates who have passed or are appearing for the 12th grade (or equivalent). If you are in your final year, a provisional certificate will be required for MHT CET 2025.

Caste Certificate (if applicable)

If you belong to a reserved category (SC/ST/OBC), you will need to upload your caste certificate while applying for MHT CET 2025.

Domicile Certificate (if applicable)

Maharashtra residents must provide a domicile certificate as part of the eligibility criteria for MHT CET 2025.

PwD Certificate (if applicable)

If you have a disability, you must upload the PwD certificate issued by a recognized medical authority for MHT CET 2025.

Credit/Debit Card or Bank Details

To pay the MHT CET 2025 application fee, you will need access to a working debit/credit card or other available online payment methods.

Why These Documents Are Essential for MHT CET 2025:

Avoids Delays: Having all the required documents ready for MHT CET 2025 ensures a smooth application process without last-minute rushes or complications.

Accurate Application: Submitting the correct documents will help with prompt verification and prevent any rejections or delays in the MHT CET 2025 process.

How to Fill the MHT CET Application Form 2025?

It’s important to fill out the MHT CET 2025 application form correctly. This helps make the registration process smooth. Follow these step-by-step instructions to complete your application without any errors.

Step-by-Step Process to Fill MHT CET 2025 Application Form

1. Visit the official website.

Go to cetcell.mahacet.org (official site).

Click on the “MHT CET 2025 Registration” link.

2. Register Yourself

Click on New Registration and enter:

Name, Date of Birth, Email ID, and Mobile Number.

Create a strong password and note it for future use.

Verify your email and mobile number via OTP.

3. Fill out the application form.

Log in with your credentials.

Provide personal details such as name, gender, category, and domicile.

Enter academic details (Class 10 & 12 scores, school name, board, etc.).

Select your exam group – PCM (Physics, Chemistry, Math) or PCB (Physics, Chemistry, Biology).

4. Upload Required Documents

Recent passport-size photograph (JPG/JPEG format, 15 KB–50 KB).

Scanned signature (JPG/JPEG format, 5 KB–20 KB).

Category certificate (if applicable).

5. Select Exam Center Preferences

Choose your preferred exam city from the given list.

Try to select a center close to your location for convenience.

6. Pay the application fee.

General category: ₹800

Reserved categories (SC/ST/OBC): ₹600

Payment mode: Online via debit card, credit card, net banking, or UPI.

7. Review and submit

Double-check all details before final submission.

Click “Submit” and download the confirmation page.

Print the application receipt for future reference.

Note: 

Apply early to avoid last-minute technical glitches.

Use a valid email ID and mobile number for future communication.

Confirm scanned documents meet the size and format requirements.

Keep many copies of your application form and payment receipt.

How to Download MHT CET 2025 Admit Card?

The MHT CET 2025 Admit Card is a integral document required to appear for the MHT CET 2025 exam. Follow these simple steps to download it without any trouble.

Step-by-Step Process to Download MHT CET 2025 Admit Card:

Visit the official website.

Visit cetcell.mahacet.org. This is the official Maharashtra CET Cell website. You can access your MHT CET 2025 admit card there.

Click on the MHT CET 2025 admit card link.

On the homepage, look for “MHT CET 2025 Admit Card Download” and click on it.

Enter login credentials

Input your MHT CET 2025 application number and the password used during registration.

Verify and submit

Double-check that the details entered are correct, then click the “Submit” button.

Download and print the MHT CET 2025 admit card.

Your MHT CET 2025 admit card will appear on the screen.

Click on “Download” and save it as a PDF.

Take a clear printout in color to carry to the MHT CET 2025 exam center.

MHT CET 2025 Preparation Tips

Preparing for MHT CET 2025 requires a smart approach, discipline, and the right strategies. Whether you’re a student or a parent guiding your child, these expert-backed tips will ensure better performance in the MHT CET 2025 exam.

1. Understand the MHT CET 2025 Exam Pattern & Syllabus

MHT CET 2025 follows a computer-based test (CBT) format with multiple-choice questions (MCQs).

It covers Physics, Chemistry, Mathematics (PCM) for engineering and Physics, Chemistry, Biology (PCB) for medical courses.

80% weightage is given to the Class 12 syllabus, and 20% to Class 11 syllabus.

2. Create a Well-Structured Study Plan for MHT CET 2025

Divide your study schedule into manageable daily targets for each subject.

Focus more on high-weightage topics from the MHT CET 2025 syllabus.

Allocate separate time for revision and mock tests.

3. Choose the Right Study Materials for MHT CET 2025

NCERT textbooks are the primary resource for concept clarity.

Use reference books like H.C. Verma for Physics, O.P. Tandon for Chemistry, and R.D. Sharma for Mathematics.

Practice with previous years’ MHT CET question papers to understand the difficulty level.

4. Attempt MHT CET 2025 Mock Tests & Solve Sample Papers

Taking full-length MHT CET 2025 mock tests will improve time management and accuracy.

Analyze your performance after each test to identify weak areas.

Solving past 10 years’ MHT CET papers will familiarize you with the exam format.

5. Focus on Time Management & Speed for MHT CET 2025

MHT CET 2025 has no negative marking, so attempt all questions wisely.

Try to improve your problem-solving speed by setting a timer during practice.

Avoid spending too much time on a single question; move on and return later if time permits.

6. Strengthen Your Weak Areas in MHT CET 2025 Preparation

Identify challenging topics and devote extra time to mastering them.

Take help from online lectures, coaching classes, or study groups if needed.

Revise important formulas, concepts, and reactions regularly.

7. Maintain a Healthy Lifestyle During MHT CET 2025 Preparation

Adequate sleep and a balanced diet will keep your mind fresh and active.

Take short breaks between study sessions to stay focused.

Practice meditation or light exercise to reduce stress and enhance concentration.

 MHT CET 2025 Registration Last Date

The last date to register for MHT CET 2025 is March 31, 2025. Students must complete their applications on the official portal before the deadline to avoid late fees or disqualification. Ensure all required documents are uploaded correctly to secure your exam slot. Apply early to prevent last-minute issues.

MHT CET Score PGDM Accepting Colleges in Mumbai

Here is a list of top PGDM colleges in Mumbai that accept MHT CET scores:College NameCourse OfferedKey HighlightsValia School of ManagementPGDMAICTE-approved, industry-relevant curriculum, strong placement supportVivekanand Business School (VBS)PGDMSpecializations in Marketing, Finance, HR, strong corporate tie-upsWelingkar Institute of Management (WeSchool)PGDMRanked among top B-schools, innovation-driven programsSIES College of Management Studies (SIESCOMS)PGDMAICTE-approved, high placement record, strong alumni networkChetana’s Institute of Management and Research (CIMR)PGDMFocus on practical learning, industry collaborationsMET Institute of ManagementPGDMState-of-the-art infrastructure, global exposure programsN. L. Dalmia Institute of Management StudiesPGDMStrong placement cell, finance-focused curriculum

Why Choose PGDM Colleges Accepting MHT CET?

Industry-Oriented Curriculum: Programs are aligned with real-world business needs.

Placement Opportunities: Strong corporate tie-ups ensure better job prospects.

Accreditation & Recognition: AICTE-approved institutions with excellent academic reputation.

Specializations Available: Marketing, Finance, HR, Operations, Business Analytics, etc.

Networking & Alumni Support: Access to a strong professional network for career growth.

MHT CET 2025 FAQs

1. What is MHT CET 2025?

MHT CET (Maharashtra Common Entrance Test) is a state-level entrance exam conducted by the State Common Entrance Test Cell, Maharashtra for admission to undergraduate courses in Engineering, Pharmacy, and Agriculture, as well as postgraduate programs in management (PGDM/MBA) for selected institutes.

2. What is the mode of MHT CET 2025 exam?

MHT CET 2025 will be conducted in an online, computer-based mode (CBT).

3. What is the application process for MHT CET 2025?

Visit the official website: cetcell.mahacet.org

Click on MHT CET 2025 Registration and fill in the required details.

Upload the necessary documents (photograph, signature, and academic details).

Pay the application fee and submit the form.

4. What is the exam pattern for MHT CET 2025?

The exam consists of multiple-choice questions (MCQs).

Subjects covered: Physics, Chemistry, Mathematics (PCM) / Biology (PCB).

Total Marks: 200

Time Duration: 180 minutes

Marking Scheme: No negative marking

5. Can I apply for both PCM and PCB groups?

Yes, candidates can apply for both groups by selecting the combined PCM & PCB option during registration.

6. When will the MHT CET 2025 admit card be released?

The admit card will be available for download from the 2nd week of April 2025 on the official website.

7. What is the cutoff score for MHT CET 2025?

The cutoff score varies every year based on factors such as:

Difficulty level of the exam

Number of applicants

Seat availability in colleges

 The official cutoff will be released after the result declaration.

8. What happens after MHT CET 2025 results are declared?

After the results are announced, students must:

Register for counseling on the CET Cell portal.

Choose preferred colleges and courses.

Attend document verification and seat allotment rounds.

9. Can I get admission to Valia School of Management through MHT CET?

Yes! Valia School of Management accepts MHT CET scores for PGDM/MBA admissions. Candidates who qualify for the exam should apply during the CAP (Centralized Admission Process) counseling.