#Arizona Process Servers

[voidsdamned]

Wicked Natures - The Ghoul/OC (female character)

Summary: Bounty hunters are frequent customers at Mulholland's Saloon, and Rue's taken quite a shine to one gunslinger in particular: a cantankerous, old Ghoul in a tattered duster. Witness her unabashedly lust after him in all his irradiated glory (as we are all currently doing), as well as navigate the precarious relationship she unfortunately has with local law enforcement.

Minors, do not interact.

Content Warnings: first chapter is honestly mild, but there are mentions of prostitution, drinking, lots of swearing, a bit of filthy talk, threats of violence, and an incredibly horny-on-main protagonist.

I've been sharing this from Ao3, but I wanted to try this format to see if more people vibed with it.

Enjoy.

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Chapter One: Wicked Natures

Nestled somewhere along the old California-Nevada state line –and just a tick away from Arizona– is the moderately successful settlement of Dust, so named because it’s plain dusty and dry and really not much happens. Which is some kind of miracle, not only because it’s along a trade route (and has a large, fresh, ground water source), but because usually something is always going on in the Wasteland (different factions blowing each other to shite) or some group of na’er-do-well’s are trying to stir up trouble (raiders, slavers, Fiends, supermutants, chicken fuckers, desperados, or anyone who’s just generally having a bad day).

That’s not to say Dust doesn’t have its problems. Rue’s chased off several perverts with bestial inclinations before –back when her Pa and she had a ranch with several dozen head of brahmin– and they’ve had their encounters with Wasteland scum. Fiends come drifting through now and again, making everyone uncomfortable and wary of their backsides. The occasional bad egg blows into town, pickpocketing and shit-stirring, but they don’t stay. Raiders used to be a much bigger problem before the current sheriff, Deck Craven, moved on into town with his large posse, big guns, and pockets full of caps. Which, now that Rue thinks on it, he might have just been an incredibly enterprising raider who knew how to market himself.

Point is, he took over Dust and rules with a firm fist. Things stay quiet, because he likes them quiet. And he ensures that quiet by hunting down troublemakers with his posse and offering bounties on jackasses a bit too troublesome for him to go after himself. Deck’s real generous with those bounties, too, and so Dust sees a lot of foot traffic from bounty hunters. And they can be a mixed bag. The lone, quiet drifters. The arrogant pricks always running their mouths. The depraved murderers who found a way to make caps off their wicked natures.

Rue doesn’t mind the bounty hunters; in fact, she has a favourite among them: a Ghoul, who seems to be a mix of the three personalities she’s observed. He travels alone. A gunfight broke out in the streets once, and Rue could hear him goading opponents with quips, sass, and smarm. He’s mean and venomous as a nightstalker –brutal as one, too. And Rue… Rue’s an idiot that became just a wee bit enamored with him after he blasted a hole through the guts of a guy who kept cupping her ass while she was just trying to do her goddamn job as a server at Mulholland’s Saloon.

He hadn’t done it for her. Nah, the handsy motherfucker was the Ghoul’s target, but still. It was the most romantic thing to have happened to Rue in all her life, and she realizes how sad that is.

She tried to thank him. He said he didn’t do shit for her. She realized that, but he’d inadvertently helped her out in the process. So, she was thankful. He’d snorted –the sound dismissive and uninterested– taken a knee, pulled out a wicked knife, and proceeded to free the head of the pervert’s bleeding body in record time.

“If you’re so thankful, you can clean up my mess.”

And he’d left her there, blood drenched and with a body at her feet (one she did clean up, along with all that crimson). She felt like she was on fire.

Since that day well over a year ago, she’s been working on the Ghoul. Bounties bring him to Dust often, and alcoholism brings him to Mulholland’s for at least one drink before he hits the road. Rue always makes sure she’s the one who tends to him (none of the other girls want to), not minding that for the longest he vastly ignored her presence or that he never said, “Thank you.” Or that when he did acknowledge her, it was usually with a snide, “They still lettin’ you work here?”

With people like the Ghoul, relationships are built in agonizingly slow increments (and usually by wearing them down until they just get tired –which Rue is really good at). Rue doesn’t mind putting in the time. She thinks the Ghoul is fun and doesn’t have much else to do.

Her efforts have slowly begun to bear fruit. Lately when the Ghoul comes to visit, his comments aren’t quite as snide, and maybe when he snorts at her or what she’s saying it’s because he finds her somewhat amusing. When his mood is right, she can even get him talking about what he’s been up to –where he’s been. Those occasions thrill her to no end. He’s been all around, seen nasty and crazy shit. Rue’s not from Dust, but she’s never really left Dust, and she just eats his tales up.

Honestly, she wants to eat him up (not in the Fiend way), not really feeling alive until he’s moseying into Mulholland’s. She watches out the saloon’s busted and cracked windows every day for him to come breezing in.

“Head out your ass, Rue. Business is pickin’ up.”

Rue, leaned heavy into the bar with her chin propped on her fist, jumps back into the present. Grey eyes tick away from the nearest window –all that hazy orange-grey and nothingness outside– and to the barkeep, Hal, who watches her tiredly. He jerks his thumb towards a table of four that had just sat themselves down in her section. She recognizes all four: the squared-away, smiling face of Bo Fortenberry; the short, wiry frame of Len Thomas; the sharp, grimy edges of Gen Guthrie; and the complete, total roundness of Fat Patrick. The four look like they’ve come straight from the ranch they all work at, coated head-to-toe in a fine dusting of orange-grey with faces sun-reddened (and what is likely brahmin shit caked on their worn, working boots that she’ll have to clean up later).

Rue sighs, more at the state of them than their presence. The four of them are fine enough fellows, but she’s told them time and time again they ought to clean up a bit –at least kick the shit off their boots– before they step in anybody’s business. She shakes her head, smiling tiredly. She could remind them, but honestly, men never really listen.

“Two pitchers for me, Hal,” she bids of the barkeep, reaching below the splintering bar for four mugs. She takes them in one hand, and when Hal sets pitchers before her, she manages to take them in the other.

She pops over to their table, greeting them with a large smile and asking them how work had been today.

Bo Fortenberry makes a fart sound with his mouth as she sets a mug down before each of them. “Same as every other day. Too damn hot. Too damn dusty. Just enough caps to make it bearable.”

The three others agree with varied grunts and noises. Len Thomas asks, “Slow day, Rue?”

She nods as she places the pitchers. Bo goes after them immediately, pouring everyone a too-full glass. “First new table I’ve had in an hour, but it’ll get better now that everyone’s gettin’ off work.”

“They got that new girl comin’ in tonight?” Gen Guthrie queries.

“Tam? Yeah, but you’ll have to get in line, pal. She’s got a waitin’ list long as my arm.”

Gen clicks his tongue and shakes his head. His mug goes to his mouth for him to take a long, long draw.

“Y’know Adel will bump ya to the top of the list if ya grease her palms a bit.”

“Tired of greasin’ Adel’s palms,” he grumbles.

“Don’t know what else to tell ya. The only language she speaks is caps and whiskey.”

Agreements all around –along with a fair bit of eye rolling and a snort or two. Fat Patrick polishes off his mug. Bo pours him another; Fat Patrick just dumps it down his throat. “You ever think about makin’ the switch?” the round man asks, and Rue’s expert at keeping the grimace off her face. “You’d probably make a helluva lot more money bein’ a prostitute.”

Rue just keeps smiling that unreadable, unthinking smile that keeps her safe. “Y’know Deck wants you callin’ ‘em courtesans,” she gently chides. “And I dunno. I like doin’ just this. I make what I need, and I don’t gotta worry about if the person I’m fuckin’ washed their dick. We keep havin’ to put Lara on medicine ‘cause one of her regulars won’t wash his dick. Just don’t sound fun.”

Bo laughs as he sloppily pours another round for him and his friends, emptying one pitcher. Rue makes a sly gesture behind her back towards the bar for Hal to get two more pitchers ready. “Yeah, guess you’re right. The guy who stuck his prick in that dead gulper comes in here a lot, and I’ve heard him pesterin’ Adel ‘bout ya before.”

Rue makes an exaggerated gagging noise, even though it is disgusting enough to warrant the sounds she makes. Len can’t handle things like that and tells her to knock it off.

“He ever tell anyone why he did that shit?” Len asks around the rim of his mug.

“He said he thought the texture’d be fun,” Fat Patrick supplies, draining his freshly-poured mug in seconds and banging it on the table twice to be refilled. Bo obliges. “He never said what it felt like, though.”

“Naw, he told me it was like bubblegum,” Gen cuts in.

“Where would he have gotten enough gum to figure that out wi- wait, think he’s the reason why Shade and Sundries hasn’t had gum in months?” Rue poses. “Think he keeps like a wad of it all ready for him by his bed?”

Gen and Fat Patrick chuckle like teenage boys. Len looks disgusted. Bo nods thoughtfully. “Bet he does. Bet it’s all crusty and weird.”

Rue grins wider. “Bet it’s all oozy.”

“Shut the fuck up, Bo,” Len groans, genuinely looking green. “And don’t goad him, Rue.”

She only grins wider and winks. “I’ll getcha guys more beer.”

The whole table likes the sound of that, insisting she keep it coming for a bit.

Rue keeps the beer coming, fast becoming a whirlwind of excellent customer service as more and more people trickle into Mulholland’s. More ranch hands. Drifters. Caravaners. Bounty hunters. They fill up all the tables, and everyone wants something different. Everyone needs her attention –even tables that aren’t her own. They need more. They want to chat. They want her. And when someone makes that known, she always points them to the second floor where foot traffic is heavy and the sounds of headboards banging against the walls, hoots, hollers, moans, and rutting are just barely muffled by the jaunty music pouring from the old juke box.

It’s a mess, but it is one Rue knows well. She can navigate it. She can profit off it. Her pockets fast fill with caps, and as the night wears on, the saloon starts emptying out. Things get a bit quieter. She’s able to slow down, and though a break is nice, she likes to be busy. To run around like crazy. She keeps herself preoccupied by gathering up all the dirty mugs, tumblers, and shot glasses she can to take for washing and cleaning messes that aren’t hers to clean.

It is as Rue fills her serving tray with dirty mugs that she spies the saloon’s double doors swing open, parting for a man with a presence like a rare thunderstorm: dark, looming, and electric. She watches him cross the floor, tattered duster flapping at his heels as he swaggers up to his table –a dim, corner table not too far from the exit where one can watch the whole of the first floor. Doesn’t matter there’s a small group already sitting at it. He’s got a sawed-off shotgun in hand, and all he has to do is motion with it to get the party to move on. Of course, the men give him dirty, hostile looks, but his stare is meaner. His gun isn’t for show. He will drop a guy for something as petty as them being in his favourite chair.

The group relocates themselves, and the Ghoul makes himself comfy. He sits all spread out in his chair, posture open, lazy, and uncaring. The brim of his hat is dipped low, making the shadows of him deeper. And though Rue can’t see his eyes, she can feel them. She winks in his direction, scoops up her tray, and heads directly to the bar, setting down her load and asking Hal for a whiskey neat.

He gets it to her, and she makes her way to the Ghoul with perhaps the brightest smile she’s worn all day.

“Hey stranger,” she greets him, setting his drink before him. “Good to see ya.”

The Ghoul doesn’t greet her, doesn’t lift his head to meet her eyes. He only takes the whiskey, swirls it ‘round, and says, “Did I say I wanted whiskey?”

He’s got a mean drawl, one the other servers balk at. Hell, they balk at him in general. Rue’s the only one in the establishment not afraid to serve him, and they think she’s dumber than rocks for it.

Rue, unfazed, doesn’t miss a beat. In fact, she smiles wider, “You always want whiskey, and then bourbon. Ya end up askin’ for somethin’ with… olives? And then I tell ya I still don’t know what the fuck olives are. And, sweetie, I still don’t know what the fuck olives are.”

That gets a short, quiet laugh out of the Ghoul, and he drinks the whiskey down like water.

“Comin’ in from a successful hunt?” she ventures, attempting a conversation and hoping he’s in the mood for one.

The Ghoul dips his head. “Ugly fella outta New Reno.” He turns his empty glass in his hands and finally looks up at her, lets her see that radiation-warped face and hard, deep set, whiskey eyes. His gaze is expectant, she ought to know exactly what he wants. Rue does; she signals to the bar for another. “Good girl.”

She warms and successfully manages not to giggle. “Ever been to New Reno?”

He only offers a, “Passed through.”

Rue knows to drop it with an answer like that. He’s not interested in talking about it. “Already pop in to see Deck?”

The Ghoul nods.

“Ever figure what he does with all the heads you bring him?”

“Jars ‘em,” is the Ghoul’s simple answer. “Got himself a whole closet full of floatin’ heads and a chair sittin’ in the middle.”

“Ooh.” Rue smiles for a different reason now, wanting to do a little victory dance. She settles for a slight swaying from side-to-side as she taps her fingers delightedly together. “Always knew Deck was a weirdo.” She reaches into her skirt pocket, pulling out a full, fresh Vial. The Ghoul’s eyes are on it, firmly fastened, as she sets it on the table. “Appreciate the tidbit.”

The Ghoul pockets the Vial, shaking his head. “Always thinkin’ I’m doin’ somethin’ for you…. Only reason I know is ‘cause he wanted to be a show-off today.” He taps a finger on the table, impatient, before pointing to the bar. “Hop to it, sweetheart.”

She smiles sweetly at him. “Of course.”

And that is how the remainder of the night goes: Rue cleaning up and popping in on the Ghoul, bringing him drinks until Hal calls in his tab and shuts the bar down for the night. Though closed, the first floor doesn’t empty out completely. People still come and go from the second floor, and a few are passed out on the floor after imbibing a bit too much. The Ghoul remains in his seat, soaking in the dim-orange light of the saloon. He’ll head out when he’s good and ready –or when he’s tired of her pestering him, which Rue fully intends on doing.

She’s only half-serious when she sidles up alongside his table, leans into it, and asks, “Think I can be a bounty hunter with you?”

He spits on the ground just shy of her feet. “Nah.”

“Why?”

The Ghoul watches her for a long moment, as if he can’t tell if she’s being serious or not. “I work alone. You ain’t built for it.”

Rue waves that away. “Sure I am. I’ve killed like… three people, and I promise my shootin’s good. Pa was an ex-ranger. He taught me.”

The Ghoul doesn’t have any eyebrows, but the spot where his left one would be raises. “NCR?”

She nods.

“Huh.” He tips back in his seat, eyes staying on her as he gives her an appraising up-down that has her brain spinning until he shakes his head. “But that’s not enough. Dust is pretty cozy livin’ all things considered. You wouldn’t last out in the Wastes. And, full offense here, you don’t always seem like y’know what’s going on. I question how strong your grip on reality is whenever ya come up to talk to me.”

Rue’s unfazed. She’s been called an airhead in far meaner ways. “Believe it or not, you’re not the first person to say somethin’ like that to me. BUT, it’s not eve-.”

“Oh, no, pumpkin, I fully believe that.”

Rue only smiles. “I’m not half as dumb as people say I am, y’know.”

He snorts. “Don’t know that, and doubt it.”

She insists, “I’m tough.”

“Again, doubt it. …Whatcha wanna leave Dust for anyway? Seem to have it pretty good here.”

Rue almost frowns, almost scoffs. But she keeps herself in check, knowing that from the outside her lifestyle does probably look pretty damn lush. She’s got a roof over her head and a decent means of living, but the way things actually are, are seldom what they look like. Her last scraps of freedom are hanging by a wispy, frayed thread.

“I hate it here,” her voice is pitched low even though no one’s really around, and those that are, are either too twisted or conked out on the floor. “I always feel like I’m waitin’ on the other shoe to drop. I’m the only one not servin’ drinks and pussy, and I know that won’t last forever. And Deck won’t let me go anywhere else –everything has to be his way or he starts goin’ batshit. And runnin’…. I won’t get far. I don’t know what to do, other than scrape together whatever dirt I can. But I don't even know if that'll help me.”

“That sounds like your problem, darlin’.”

No pity. No nothing. Just a cold fact from the Ghoul.

A switch flips in Rue. She remembers what she’s supposed to be, and she remembers who he is. And she hadn’t meant for things to get so serious. She smiles brightly, easily agreeing. “It is.”

The Ghoul watches her for a moment, thoughtfulness crawling across his burn-scarred face. “That why you wanted to know ‘bout the heads?”

Rue inclines her head shortly.

“If I’d known that, I’d have asked for more Vials.”

She sifts through the caps in her skirt pockets, pulling out a few more. She offers them to him in her cupped hands. “Here. I keep ‘em just for you.”

The gunslinger’s chair comes back to ground with a bang, so loud in a saloon gone quiet. But no one rouses. No one peeks their head in. He plucks them from her hands one-by-one.

“So, that’s what your fascination with me’s about, hm? Think I’m your best bet?” he queries, clicking his tongue in disapproval as the Vials drop into his duster pocket. He smiles up at her, but if there’s amusement to it, it is of the dark sort. Mocking. “Hopin’ you can butter me up, and I’ll take pity on ya? Take you away?”

Rue shakes her head, a few loose curls tickling at her face and neck. “Not at all.”

He waits expectantly, grinning still, as if he’s excited to hear what bullshit might come out of her mouth.

She’s honest with him. “I think you’re pretty and wanna ride your face.”

Silence. The smile is gone, so is the amusement. Everything’s gone dark about him, and when he stands, he absolutely towers above her. He glowers, clearly trying to menace her, and the sawed-off shotgun he never truly puts away taps at her side.

And if the part of her brain that felt fear wasn’t the part that’s actually burnt-out, it might have her quaking in her boots.

“You’re a liar,” his voice is venomous. “And ya got a sick sense of humour. It’s that exact shit that makes people say you’re fucked in the head.”

Rue, staring up at him, shrugs helplessly and continues to smile. “Don’t really see why I’d lie ‘bout somethin’ like that. Not much point to it.”

The gun presses to her stomach, to the spot where he’d shot the guy accosting her so many months ago. She tells him, “You’d be doin’ me a favour.”

The gun drops; he takes a step back, the brim of his hat shading his face. “I ain’t in the business of doin’ anyone any favours.”

“I know. Not much money to be made in kindness.” She takes a small step towards him, angling her neck so she can peer up at him again. “Got a place to stay for the night, stranger?”

The Ghoul looks at her as if she’s stupid, but she sees his trigger finger twitch. His eyes narrow, looking her over, and she knows he’s considering her. And that’s all she wants. Just a little consideration. To know a bit of her is now wedged in his head.

Rue winks at him before turning on her heel and heading towards the bar where she grabs her bag from beneath it. When she turns, the Ghoul isn’t there, and the double doors are still swinging. She laughs to herself and shakes her head, making towards the doors herself to leave Mulholland’s behind for the night.

It’s cool outside. Breezy, dusty, and dark. Dust’s streets are near-empty, hosting only a few swaying figures headed home and stray dogs picking about. Rue reaches into her bag for a small knife, but leaves it when she notices another stray at the far end of the porch. She can’t see anything about his face, but she sees the two fingers that curl at her, beckoning for her to come.

A thrill goes through Rue. Delight and heat and a surge of satisfaction. She smiles genuinely at the Ghoul as she steps up beside him, joking, “So sweet of you to walk me home.”

She can see a bit of his face now, and he doesn’t appear the least bit amused as he rolls his eyes.

“Better not live far.”

“Ever been to the east side of town where that little house sits beneath the two oaks?”

He gives an aggravated, “That’s a mile out.”

“Yeah,” and Rue starts off into the night, not bothering to turn to see if he follows. “But I’m worth at least a mile.”

[spacetimewithstuartgary]

A less ‘clumpy,’ more complex universe?

Researchers combined cosmological data from two major surveys of the universe’s evolutionary history and found that it may have become ‘messier and complicated’ than expected in recent years.

Across cosmic history, powerful forces have acted on matter, reshaping the universe into an increasingly complex web of structures.

Now, new research led by Joshua Kim and Mathew Madhavacheril at the University of Pennsylvania and their collaborators at Lawrence Berkeley National Laboratory suggests our universe has become “messier and more complicated” over the roughly 13.8 billion years it’s been around, or rather, the distribution of matter over the years is less “clumpy” than expected.

“Our work cross-correlated two types of datasets from complementary, but very distinct, surveys,” says Madhavacheril, “and what we found was that for the most part, the story of structure formation is remarkably consistent with the predictions from Einstein’s gravity. We did see a hint for a small discrepancy in the amount of expected clumpiness in recent epochs, around four billion years ago, which could be interesting to pursue.”

The data, published in the Journal of Cosmology and Astroparticle Physics and the preprint server arXiv, comes from the Atacama Cosmology Telescope’s (ACT) final data release (DR6) and the Dark Energy Spectroscopic Instrument’s (DESI) Year 1. Madhavacheril says that pairing this data allowed the team to layer cosmic time in a way that resembles stacking transparencies of ancient cosmic photographs over recent ones, giving a multidimensional perspective of the cosmos.

“ACT, covering approximately 23% of the sky, paints a picture of the universe’s infancy by using a distant, faint light that’s been travelling since the Big Bang,” says first author of the paper Joshua Kim, a graduate researcher in the Madhavacheril Group. “Formally, this light is called the Cosmic Microwave Background (CMB), but we sometimes just call it the universe’s baby picture because it’s a snapshot of when it was around 380,000 years old.”

The path of this ancient light throughout evolutionary time, or as the universe has aged, has not been a straight one, Kim explains. Gravitational forces from large, dense, heavy structures like galaxy clusters in the cosmos have been warping the CMB, sort of like how an image is distorted as it travels through a pair of spectacles. This “gravitational lensing effect,” which was first predicted by Einstein more than 100 years ago, is how cosmologists make inferences about its properties like matter distribution and age.

DESI’s data, on the other hand, provides a more recent record of the cosmos. Based in the Kitt Peak National Observatory in Arizona and operated by the Lawrence Berkeley National Laboratory, DESI is mapping the universe’s three-dimensional structure by studying the distribution of millions of galaxies, particularly luminous red galaxies (LRGs). These galaxies act as cosmic landmarks, making it possible for scientists to trace how matter has spread out over billions of years.

“The LRGs from DESI are like a more recent picture of the universe, showing us how galaxies are distributed at varying distances,” Kim says, likening the data to the universe’s high school yearbook photo. “It’s a powerful way to see how structures have evolved from the CMB map to where galaxies stand today.

By combining the lensing maps from ACT’s CMB data with DESI’s LRGs, the team created an unprecedented overlap between ancient and recent cosmic history, enabling them to compare early- and late-universe measurements directly. “This process is like a cosmic CT scan,” says Madhavacheril, “where we can look through different slices of cosmic history and track how matter clumped together at different epochs. It gives us a direct look into how the gravitational influence of matter changed over billions of years.”

In doing so they noticed a small discrepancy: the clumpiness, or density fluctuations, expected at later epochs didn’t quite match predictions. Sigma 8 (σ8), a metric that measures the amplitude of matter density fluctuations, is a key factor, Kim says, and lower values of σ8 indicate less clumping than expected, which could mean that cosmic structures haven’t evolved according to the predictions from early-universe models and suggest that the universe’s structural growth may have slowed in ways current models don’t fully explain.

This slight disagreement with expectations, he explains, “isn’t strong enough to suggest new physics conclusively—it’s still possible that this deviation is purely by chance.”

If indeed the deviation is not by chance, some unaccounted-for physics could be at play, moderating how structures form and evolve over cosmic time. One hypothesis is that dark energy—the mysterious force thought to drive the universe’s accelerating expansion—could be influencing cosmic structure formation more than previously understood.

Moving forward, the team will work with more powerful telescopes, like the upcoming Simons Observatory, which will refine these measurements with higher precision, enabling a clearer view of cosmic structures.

IMAGE: The Atacama Cosmology Telescope measures the oldest light in the universe, known as the cosmic microwave background. Using those measurements, scientists can calculate the universe’s age. (Image: Debra Kellner)

[net-craft]

Phoenix App Development: How to Build a Robust and Scalable Backend

The vibrant tech hub of Phoenix, Arizona, is a breeding ground for innovation in mobile app development. Here at Net-Craft.com, a leading mobile app development company in Scottsdale, we understand the critical role a strong backend plays in your mobile app's success. A well-crafted backend ensures seamless functionality, scalability to accommodate growth, and ultimately, a superior user experience. This article delves into the intricacies of Phoenix app development and explores the key elements of building a robust and scalable backend for your mobile application.

Understanding the Phoenix App Development Landscape

The Phoenix mobile app development landscape offers a wealth of talent and expertise. Companies in this tech hub boast experience across diverse industries, ensuring they can tailor backend solutions to your specific needs. Here are some key considerations when navigating the Phoenix app development scene for your backend needs:

Backend Development Expertise: Look for companies with a proven track record in building robust and scalable backends for mobile applications. Explore their portfolio and case studies to understand their experience with various backend technologies.

Scalability Solutions: As your app gains traction, your backend needs to keep pace. Choose a Phoenix app development company that can implement solutions for horizontal scaling, allowing you to add more servers to handle increased traffic.

Security Measures: Data security is paramount. Partner with a company that prioritizes robust security measures to protect user data and ensure application security.

The Pillars of a Robust Phoenix App Development Backend

Now, let's delve into the core components of a robust and scalable backend for your Phoenix app development project:

1. API (Application Programming Interface) Design:

The API acts as the bridge between your mobile app and the backend. A well-designed API facilitates smooth communication and data exchange, ensuring a seamless user experience. Here are some key aspects of effective API design for Phoenix app development:

RESTful Architecture:  REST (Representational State Transfer) is a widely adopted architectural style for APIs. It ensures a standardized approach to data access and manipulation, simplifying integration with your mobile app.

Security Implementation:  Secure your API with authentication and authorization mechanisms. This ensures only authorized users can access sensitive data and functionalities within your app.

Documentation and Versioning:  Clear and concise API documentation is crucial for developers working on your mobile app. Additionally, implement version control to manage changes and ensure compatibility with your app.

2. Database Selection:

The type of database you choose for your Phoenix app development backend depends on your specific needs. Here's a breakdown of popular options:

Relational Databases (SQL):  For structured data, relational databases like MySQL or PostgreSQL offer a robust and scalable solution. They are well-suited for applications with complex data relationships.

NoSQL Databases: For unstructured or frequently changing data, NoSQL databases like MongoDB or Cassandra offer flexibility and scalability. They are ideal for applications that handle large volumes of data or require real-time updates.

3. Server-Side Logic and Business Rules:

The backend is where the magic happens. Server-side logic handles complex calculations, business rules, and data processing tasks that wouldn't be efficient on the mobile device itself. This ensures a smooth user experience on the mobile app and frees up resources for a responsive interface.

4. Cloud Infrastructure:

Leveraging cloud infrastructure for your Phoenix app development backend offers numerous advantages. Cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) provide scalability, cost-effectiveness, and high availability. They allow you to easily scale your backend resources up or down based on your app's traffic demands.

Benefits of a Robust and Scalable Backend

Investing in a well-designed backend for your Phoenix app development project yields numerous benefits:

Enhanced Performance and Scalability: A robust backend ensures your app can handle increased user traffic without compromising performance. This is crucial for maintaining a positive user experience as your app grows.

Improved Security: A secure backend safeguards user data and protects your application from security vulnerabilities. This builds trust with your users and mitigates potential risks.

Flexibility and Maintainability: A well-structured backend is easier to maintain and update as your app evolves. This allows you to adapt to changing user needs and integrate new features seamlessly.

Reduced Development Time and Costs: A well-defined backend architecture streamlines the mobile app development process, potentially reducing development time and associated costs.

Conclusion: Building a Phoenix App Development Success Story

By partnering with a skilled Phoenix app development company that prioritizes a robust and scalable backend, you're laying the foundation for a successful mobile application. A strong backend ensures a seamless user experience, empowers future growth, and positions your app for long-term success.

Here at Net-Craft.com, we specialize in crafting exceptional mobile apps with robust and scalable backends. Our experienced team of developers understands the critical role that backend infrastructure plays in the success of any mobile application. We leverage the latest technologies and best practices to build high-performance, secure, and scalable backends that can handle the demands of your growing user base.

Contact us today to discuss your Phoenix app development project and explore how Net-Craft.com can help you build a mobile app that stands out from the competition.

Know more https://www.net-craft.com/blog/2025/01/08/phoenix-app-backend-development/

[sleepi-gae]

On January 20th I met Elan AKA Deviant System. We met at the Park Place Mall in Tucson, Arizona.

On January 21st we connected over discord.

On January 22nd I got into a relationship with Elan. There was talk of us meeting up again. Later that same day it was revealed to me that they were 19 and we then broke up.

On January 23rd I found out that in total there were 4 victims of their grooming. Two of which were sexual. No inappropriate pictures were sent and none of them met in person.

On January 24 I officially started collecting every screenshot I could in the How To Catch a Predator server on discord. I also recorded every tweet/post I made about Elan.

By January 25th I had told my mom about how Elan had groomed me and I was continuing to collect evidence

On February 8th I took a break from Twitter due to an event that caused me to spit multiple alters and lose almost half of my support system.

On February 23rd I came back from the break to find that someone by the name of DreamSMPsusLover had been harassing my replies throughout the break.

On February 24th I found out that DreamSMPsusLover was Elan’s alt account. That same day they specifically said to a friend that they made up stuff about me and my partner in a post on that account.

I continued to gather evidence against elan.

On March 2nd they lied about admitting themselves to the mental hospital. I was not aware of it at the time but they lied about it to try and make me not report them.

On March 3rd I told my therapist that I was groomed by a 19 year old. She started the process of filing a report.

On March 7th I was made aware of Deviant lying about going to the mental hospital.

On March 8th the police visited my house to make an official report. The officer talked to me and my mom about what happened. At the end of the visit he said that because the people around me caught it before it had gotten sexual Elan had not committed a crime. And Elan has not committed any crimes. There were no explicit photos, only messages. Me and 3 other people were groomed but no crime was committed by our groomer.

[abboudlawfirm-tucson]

What Is the Minimum Amount for Small Claims Court in Tucson, Arizona?

Navigating legal issues, especially those involving small claims, can be overwhelming—especially if you’re unfamiliar with how the process works. If you're considering filing a small claims case in Tucson, Arizona, one of your first questions might be: Is there a minimum amount required to file? In this guide, we’ll walk you through the essentials of small claims court in Arizona, explain the filing limits, and help you understand when working with a Personal Injury Attorney can make a real difference.

Whether you're dealing with unpaid debts, property damage, or even minor injury claims, small claims court is often the most efficient way to resolve disputes—without the expense and formality of a full trial.

What Is Small Claims Court in Arizona?

Small claims court in Arizona is designed to handle straightforward civil disputes involving relatively small amounts of money. It’s an affordable and streamlined legal option for people who want to resolve conflicts like unpaid loans, damage to property, or breach of contract—without hiring a lawyer or going through a lengthy court process.

In Tucson and across Arizona, small claims cases are handled by the Justice Courts, and they typically involve monetary claims of $3,500 or less. These cases move quickly, and court procedures are informal enough that most people represent themselves.

What Is the Minimum Claim Amount?

Arizona law doesn’t set a strict minimum dollar amount to file a small claims case. You can file a claim for any amount up to $3,500. That means even if you're owed as little as $100, you can still file a case if you have the proper documentation and a legitimate claim.

This flexibility makes small claims court an accessible option for resolving many everyday legal disputes—particularly in Tucson and surrounding Pima County communities where people may want to recover small but significant debts.

Filing a Small Claims Case in Tucson: Step-by-Step

Filing a small claims case in Tucson is a straightforward process. Here's how it works:

Gather Your Evidence: Collect all documentation related to your claim, such as contracts, repair estimates, photos, emails, or texts. The stronger your proof, the better your chances of winning your case.

File Your Claim: You’ll need to file a complaint form with the local Justice Court. In Pima County, this can be done in person or online through the Arizona Courts website.

Pay the Filing Fee: The filing fee depends on the amount you're claiming but typically ranges from $20 to $50. If you can't afford it, you may request a fee deferral or waiver.

Serve the Defendant: Once your claim is filed, the defendant must be legally notified. This can be done through certified mail or a process server.

Attend the Hearing: You'll be scheduled for a hearing date, where you’ll present your case to a judge. Most hearings in small claims court are informal, and legal representation is not required.

Receive a Judgment: After hearing both sides, the judge will issue a ruling. If you win, the court will issue a judgment ordering the other party to pay what you’re owed.

When Should You Involve a Personal Injury Attorney?

Although small claims court is designed to be simple and user-friendly, certain cases can benefit from legal guidance—especially those involving personal injury or property damage caused by someone else’s negligence. In these situations, consulting a personal Injury attorney in Tucson, AZ, can help you:

Properly value your damages, including medical costs or lost income

Collect and organize supporting evidence

Negotiate with the other party before the case even reaches court

Explore whether your case may be more appropriate for a higher court

Even if your injury or loss seems minor, an attorney can help you assess whether you're overlooking any compensation you're legally entitled to.

Common Cases Filed in Tucson Small Claims Court

Small claims court is ideal for civil disputes that don’t exceed $3,500. Examples of cases include:

Unpaid debts or loans: If someone borrowed money from you and hasn’t paid it back

Damage to property: From a car accident or accidental damage to your home or belongings

Breach of contract: When someone breaks an agreement for services or purchases

Minor personal injuries: Such as a slip-and-fall that resulted in small medical expenses

If you’ve experienced any of these in Tucson or surrounding cities like Oro Valley, Marana, Sahuarita, or Vail, small claims court may be your most direct route to compensation.

How Abboud Law Firm Can Help

When you need guidance on a legal dispute or injury-related matter, Abboud Law Firm in Tucson, Arizona is here to support you. We assist clients with both small claims and more complex personal injury cases, offering honest advice and clear legal strategies from start to finish.

If your situation involves medical bills, long-term pain, or emotional distress, our attorneys will help ensure you’re fully compensated—not just for the obvious losses, but for everything you’re legally entitled to recover. And if your claim exceeds the small claims limit, we can guide you toward the best court to file in.

Free Consultations and Personalized Support

If you’re unsure whether your case belongs in small claims court or want help evaluating your next steps, Abboud Law Firm offers free consultations. This gives you the chance to talk through your situation with a professional, without any upfront cost or commitment.

Whether you’re dealing with a personal injury, property damage, or unpaid debt, our experienced attorneys in Tucson, Arizona are ready to help.

Final Thoughts

Don’t leave your legal issue unresolved. Contact Abboud Law Firm in Tucson, Arizona today to schedule your free consultation and get clear, reliable guidance from a trusted Personal Injury Attorney. Call us at +1 520-600-1111 and let us help you take the next step toward resolving your claim and moving forward with confidence.

[rory-media-220]

Research

Currently doing research for the second episode of the podcast, surrounding AI and it's effect on the environment. I have been reading these articles: Think Landscape Harvard Business Review UNEP So far I have taken the following quotes as talking points during the podcast: Thinking Landscape:

In July 2022, Microsoft used 52 million liters of water to train ChatGPT in West Des Moines, Iowa. That amounted to 6 percent of the entire city’s water use that month and caused Microsoft’s water consumption to spike by 34 percent that year.

data centers in the U.S. could suck up nearly 10 percent of the country’s entire electricity use in the next five years, up from 4 percent in 2023. Power utilities will need to invest about USD 50 billion in new generation capacity to meet that demand.

The power needs of data centers alone, it says, “will match the current total consumption of Portugal, Greece and the Netherlands combined” by 2030.

Globally, data centers are expected to produce about 2.5 billion tons of carbon dioxide-equivalent emissions between now and 2030 – amounting to roughly 40 percent of the U.S.’s annual emissions.

a large generative AI model uses between half a liter and three liters of water to write a short email of 100 to 250 words, depending on where the server is located and the ambient temperature.

Sebastián Lehuedé: “If you consume water somewhere to the point where it affects biodiversity in one area, that cannot be offset by having a nice project elsewhere. You’re going to cause irreversible damage if you keep to that logic.” Harvard Business Review:

Even putting aside the environmental toll of chip manufacturing and supply chains, the training process for a single AI model, such as a large language model, can consume thousands of megawatt hours of electricity and emit hundreds of tons of carbon. This is roughly equivalent to the annual carbon emissions of hundreds of households in America.

the strain on local freshwater resources imposed by the substantial water consumption associated with AI, both directly for onsite server cooling and indirectly for offsite electricity generation, can worsen prolonged droughts in water-stressed regions like Arizona and Chile.

In the era of heightened environmental consciousness, a variety of multifaceted initiatives have been gaining traction, aiming to advance AI’s environmental sustainability and ensure its positive net contribution to mitigating climate change.

data center operators have pursued diverse strategies to achieve “net zero” emissions, including the development of large-scale solar farms and procurement of renewable energy credits. Likewise, in acknowledgment of fresh water as a vital social resource, industry leaders have set an ambitious goal of “water positive” by 2030 by replenishing more water than they consume.

By fairly distributing AI computing across different data centers, we can effectively redistribute AI’s regional environmental costs, fostering a more equitable outcome. The key innovation centers on prioritizing regions bearing the most notable adverse environmental impact, such as heightened air pollution and depleting freshwater resources. This is accomplished by dynamically assigning a higher importance weight to otherwise disproportionately burdened regions when optimizing the geographical load balancing decisions in real time. UNEP:

There are high hopes that artificial intelligence (AI) can help tackle some of the world’s biggest environmental emergencies. Among other things, the technology is already being used to map the destructive dredging of sand and chart emissions of methane, a potent greenhouse gas.

“There is still much we don’t know about the environmental impact of AI but some of the data we do have is concerning,” “We need to make sure the net effect of AI on the planet is positive before we deploy the technology at scale.”

The big benefit of AI is that it can detect patterns in data, such as anomalies and similarities, and use historic knowledge to accurately predict future outcomes. That could make AI invaluable for monitoring the environment, and helping governments, businesses and individuals make more planet-friendly choices. It can also enhance efficiencies. UNEP, for example, uses AI to detect when oil and gas installations vent methane, a greenhouse gas that drives climate change.

Advances like those are fostering hope that AI could help the world tackle at least some aspects of the triple planetary crisis of climate change, nature and biodiversity loss, and pollution and waste.

The second problem is that data centres produce electronic waste, which often contains hazardous substances, like mercury and lead.

“Governments are racing to develop national AI strategies but rarely do they take the environment and sustainability into account. The lack of environmental guardrails is no less dangerous than the lack of other AI-related safeguards.” I will shortly make a more condensed and accessible version of these talking points as to be able to go over these topics more easily during the podcast.

[govindhtech]

AMD EPYC Venice Is First 2nm HPC Chip On TSMC N2 Node

Venetian AMD EPYC

First 2nm HPC processor on TSMC's N2 node, AMD EPYC Venice boosts performance and energy efficiency.

EPYC CPU, codenamed “Venice,” is the first HPC product taped out and introduced using TSMC's breakthrough 2nm (N2) manufacturing technology. Cutting-edge process technology helps AMD and TSMC optimise new design architectures. Data centre CPU roadmap from AMD includes “Venice” next year. At TSMC's new Arizona fabrication plant, AMD presented and validated its 5th Gen AMD EPYC CPU products to highlight its U.S. manufacturing commitment.

For years, AMD has worked closely with TSMC's R&D and production teams to create cutting-edge high-performance computing devices, said AMD chair and CEO Lisa Su. “TSMC’s N2 process and Arizona Fab 21 show our collaboration to innovate and provide cutting-edge computing technology,” the statement says.

"We are pleased to have AMD as a leading HPC customer for our cutting-edge 2nm (N2) process technology and TSMC Arizona fab," stated TSMC Chairman and CEO Dr. C.C. Wei. Technology advances because of us. High-performance silicon yields, power efficiency, and performance will increase.They want to keep working with AMD to help the next computing era.

In summary

AMD's next-generation EPYC CPU, "Venice," is the first high-performance computing device to employ TSMC's 2nm (N2) technology. AMD-TSMC semiconductor manufacturing partnership advances AMD's data centre CPU plan, “Venice” due next year. AMD verified its 5th Gen EPYC CPUs at TSMC's new Arizona plant, demonstrating their US production commitment. Leadership from both companies was happy of the relationship and looked forward to more powerful and efficient computing. Magic eraserNoteaudioAudioMind map overview notecopy

FAQS

EPYC “Venice” CPU from AMD?

AMD's intended Zen 6-based sixth-generation EPYC server CPU is codenamed “Venice”. High-performance computing applications are the target of TSMC's first 2nm (N2) product.

What makes 2nm (N2) important?

With enhanced transistor density, power efficiency, and performance, 2nm revolutionises semiconductor manufacturing. AMD seeks more powerful and energy-efficient CPUs for data centres and business applications using this technology. The “Venice” processor launches when?

AMD predicts a 2026 EPYC “Venice” CPU. The business wants to make more efficient and powerful next-generation server CPUs.

“Venice”—made in the US?

AMD will manufacture fifth-generation EPYC CPUs at TSMC Arizona. AMD will build its products in the US for the first time as part of its semiconductor and supply chain diversification.

How will this milestone effect AMD's market share?

The first semiconductor business to employ TSMC's 2nm technology, AMD exhibits its ingenuity and leadership. Success should make AMD more competitive in data centres, boosting client performance and energy efficiency.

TSMC's 2nm wafers cost how much?

2nm TSMC wafers are expected to cost $25,000–$30,000. A significant increase over preceding nodes shows the complexity and progress of the 2nm process. ​

Is the 2nm wafer pricing comparable to previous nodes?

It costs 25% more to buy 2nm wafers than 3nm ones, which cost $19,865. In 2020, 5nm wafers cost $13,495; 2nm wafers cost nearly twice as much.

[bllsbailey]

Apple Plans Texas Factory for AI Servers, 20,000 Research Jobs

Apple Monday said it plans to help bring online a quarter-million-square-foot factory in Texas by 2026 to build artificial intelligence

servers and will add about 20,000 research and development jobs across the U.S.

Apple said that it plans to spend $500 billion in the United States over the next four years, though that figure includes everything from purchases from U.S. suppliers to U.S. filming of television shows and movies for its Apple TV+ service. The company declined to say how much of the figure it was already planning to spend with its existing U.S. supply base, which includes firms such as Corning, which makes glass for iPhones in Kentucky.

The move comes after media reports that Apple Chief Executive Tim Cook met with President Donald Trump last week. Many of Apple's products that are assembled in China could face 10% tariffs imposed by Trump earlier this month, though the iPhone maker previously secured some waivers from China tariffs during the first Trump administration.

Apple made a similar announcement about its U.S. spending plans during the first Trump administration, at that time saying it planned $350 billion over five years.

Most of Apple's consumer products are assembled outside the U.S., though many of Apple components are still made there, including chips from Broadcom, SkyWorks Solutions and Qorovo. Apple also said that it last month started mass producing chips of its own design at an Arizona factory owned Taiwan Semiconductor Manufacturing Co (TSMC).

Bringing TSMC to Arizona and helping introduce legislation that later became the CHIPS Act to bolster U.S. semiconductor production were two of Trump's biggest industrial policy moves during his first term.

Apple said on Monday that it will work with Hon Hai Precision Industry's Foxconn to build a 250,000-squre-foot facility in Houston, where it will assemble servers that go into data centers to power Apple Intelligence, its suite of AI features that help draft emails and perform other tasks. Those servers are currently made outside of the U.S., Apple said.

Apple also said it plans to increase its Advanced Manufacturing Fund from $5 billion to $10 billion, with part of the expansion being a "multibillion-dollar commitment from Apple to produce advanced silicon" at TSMC's Arizona factory. Apple did not disclose details of its deal with TSMC, but it has in the past used the fund to help partners build out the infrastructure needed to deliver products or services for Apple.

Apple will also open a manufacturing academy in Michigan where its engineers, along with local university staff, will offer free courses for small and mid-sized manufacturing firms in areas such as project management and manufacturing process optimization.

[tochangeisgood]

Life is what you make it

Start your journey today

Investing in American Innovation

Tim Cook of Apple tech company is investing in U.S manufacturing, innovation. This commitment of 500 billion is expected to provide tech jobs, focusing on research and development, silicon engineering, artificial intelligence and machine learning.

It involves building an advanced AI Server manufacturing factory near Houston, this will be possible through the companies Advanced Manufacturing Fund while establishing an Apple manufacturing Academy in Detroit.

This expansion will happen in facilities in numerous states including Michigan, Texas, California, Arizona, Nevada, Iowa, Oregon, North Carolina and Washington.

Tim Cook after meeting with President Trump, pledges to be committed to the future of American Innovation.

Investing in American innovation is crucial for the future advancement and success of our economy. Innovation plays a vital role in driving economic growth, creating jobs, and increasing the United States' global competitiveness. By investing in American innovation, we can foster creativity, drive technological advancements, and spur new industries and opportunities for growth. This essay will discuss the importance of investing in American innovation and the benefits it can bring to the country.

One of the primary reasons why investing in American innovation is essential is because it can lead to the development of new technologies and products that can improve our quality of life. By funding research and development in key areas such as healthcare, renewable energy, and information technology, we can discover new solutions to pressing problems and challenges. For example, advancements in medical technology can lead to new treatments and cures for diseases, while breakthroughs in renewable energy can help combat climate change and reduce our reliance on fossil fuels.

Furthermore, investing in American innovation can help create new opportunities for job creation and economic growth. Startups and small businesses are often the drivers of innovation, and by providing support and funding to these companies, we can help spur economic activity and create new jobs. Additionally, investing in education and training programs in science, technology, engineering, and mathematics (STEM) fields can help prepare the workforce for the jobs of the future and ensure that we have a skilled labor force to drive innovation and growth.

Moreover, investing in American innovation can help strengthen the country's global competitiveness and position as a leader in technology and innovation. By supporting research and development, we can remain at the forefront of key industries and continue to drive advancements in science and technology. This can help attract talent and investment from around the world, further fueling innovation and growth in the United States.

In addition, investing in American innovation can help drive productivity and efficiency in industries across the economy. Through the adoption of new technologies and processes, companies can streamline operations, reduce costs, and improve their competitiveness in the global marketplace. This can lead to increased profitability and economic growth, benefiting both businesses and consumers.

Furthermore, investing in American innovation can help address societal challenges and promote inclusivity and diversity in the innovation ecosystem. By supporting programs and initiatives that promote diversity and inclusion in STEM fields and entrepreneurship, we can ensure that all individuals have the opportunity to contribute to and benefit from innovation. This can lead to the development of solutions that address the needs of underserved communities and promote a more inclusive and equitable society.

Moreover, investing in American innovation can help drive sustainable development and environmental conservation. By funding research and development in renewable energy, sustainable agriculture, and clean technologies, we can reduce our environmental impact and promote a more sustainable future. This can help address issues such as climate change, resource depletion, and pollution, while also creating new opportunities for economic growth and job creation in green industries.

Additionally, investing in American innovation can help promote collaboration and knowledge-sharing among industries and sectors. By supporting partnerships between academia, government, and industry, we can foster a culture of innovation and entrepreneurship that can lead to new discoveries and breakthroughs. This can help facilitate the transfer of ideas and technologies across different sectors, leading to cross-pollination and the development of new innovations.

Furthermore, investing in American innovation can help attract investment and talent from around the world. By positioning ourselves as a leader in innovation and technology, we can attract entrepreneurs, researchers, and investors who see the United States as a hub for innovation and opportunity. This can help drive economic growth and create new opportunities for collaboration and partnership with international actors.

In conclusion, investing in American innovation is essential for driving economic growth, creating jobs, and increasing our global competitiveness. By supporting research and development, education and training, and diversity and inclusivity in the innovation ecosystem, we can foster creativity, drive technological advancements, and spur new industries and opportunities for growth. This can lead to a more prosperous and sustainable future for the United States and ensure that we remain at the forefront of innovation and technology in the global economy.

[youngscientist96]

Artificial intelligence drives need for real data storage innovations

The rapid advancement of artificial intelligence (AI) has significantly increased the demand for innovative data storage solutions. Traditional storage infrastructures are being re-evaluated to meet the unique requirements of AI applications, leading to several notable developments

Disaggregated Data Centers Modern data centers are transitioning from homogeneous server architectures to disaggregated models, where storage, processing power, and memory exist separately in different machines and resource pools. This approach allows for more efficient resource allocation tailored to specific tasks, enhancing performance and sustainability. For instance, Zhichao Cao, an assistant professor at Arizona State University, is developing innovative data storage solutions designed to optimize performance and resource management in such disaggregated settings.

AI-Driven Storage Systems Integrating AI into storage management has led to the development of predictive and responsive storage systems. These systems utilize machine learning algorithms to anticipate data storage needs, adapt to changing workloads in real-time, and optimize resource utilization. This proactive approach not only improves efficiency but also reduces operational costs.

Advancements in Data Center Infrastructure Companies are investing in specialized hardware to support AI workloads. For example, Microsoft has introduced custom infrastructure chips aimed at enhancing AI operations and data security within its data centers. These chips are designed to optimize performance and reduce reliance on traditional processors, reflecting a broader industry trend toward customized solutions for AI applications.

Exploration of DNA-Based Data Storage Researchers are investigating DNA-based storage as a potential solution to the growing data demands of AI. DNA can store vast amounts of information in a compact form, offering a sustainable and durable alternative to traditional storage media. Recent advancements have improved the speed and accuracy of DNA data storage, bringing it closer to practical application.These developments underscore the critical need for innovative data storage solutions to keep pace with the evolving demands of AI technologies.

#sciencefather #youngscientist #Researcher #ScienceInnovation #FutureScientists #STEM #ResearchLife #ScienceCommunity #YoungResearchers #SciencePassion #InnovativeMinds #ScienceExploration #STEMEducation #ResearchAndDevelopment #AcademicResearch#ArtificialIntelligence #AI #DataStorage #Innovation #TechRevolution #BigData #CloudStorage #DataManagement #MachineLearning #AIinTech #StorageSolutions #TechInnovation #DataSecurity #FutureOfStorage #SmartTech #DataScience

International Young Scientist Awards Website link: youngscientistawards.com Nomination Link: https://youngscientistawards.com/award-nomination/?ecategory=Awards&rcategory=Awardee Contact Us: support@youngscientistawards.com _________________________________________________________________________________________________________ Social Media: Twitter : https://twitter.com/youngsc06963908 Linkedin- : https://www.linkedin.com/in/shravya-r... Pinterest : https://in.pinterest.com/youngscienti... Blog : https://youngscientistaward.blogspot.... Tumblr : https://www.tumblr.com/blog/shravya9v

[vansh19104]

Breaking Down Core Web Vitals: What They Mean for Your SEO Strategy

Introduction to Core Web Vitals

Search engine optimization (SEO) has always been about delivering what users want, but Google's Core Web Vitals have taken this concept to the next level. These metrics evaluate the quality of the user experience on a website, from how quickly content loads to how visually stable it is. They’ve become essential to any SEO strategy, ensuring websites prioritize speed, responsiveness, and usability.

Read More- SEO Consultant in Arkansas

What Are Core Web Vitals?

Core Web Vitals are a set of performance metrics introduced by Google to measure how users experience a web page. These include Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS). Each of these metrics focuses on a specific aspect of user experience:

Read More- SEO Consultant in Arizona

LCP measures loading performance.

FID evaluates interactivity.

CLS gauges visual stability.

Read More- SEO Consultant in Alaska

Think of these as the health indicators of your website. Just like vital signs in medicine, they tell you whether your site is thriving or needs attention.

Read More- SEO Consultant in Alabama

Importance of Core Web Vitals in SEO

Why do Core Web Vitals matter? Google has officially made them ranking signals. If your website scores poorly on these metrics, you risk losing visibility to competitors who offer a better user experience. Beyond rankings, great Web Vitals improve user satisfaction, leading to lower bounce rates and higher conversions.

Read More- Website Development in Bracknell

Google's Focus on User Experience

Google's ultimate goal is to provide searchers with the best possible results. By incorporating Web Vitals into its ranking algorithm, the search giant emphasizes websites that load quickly, respond promptly, and remain visually stable. This reflects a broader shift towards user-centric SEO, where providing value to users is non-negotiable.

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The Core Web Vitals Metrics Explained

Largest Contentful Paint (LCP)

Definition and Thresholds

LCP measures the time it takes for the largest visible content element—like an image or heading—to fully render on the screen. A good LCP score is under 2.5 seconds. Anything above 4 seconds is considered poor and can frustrate users.

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Key Factors Affecting LCP

Several issues can slow down LCP, including:

Slow server response times: Your hosting setup plays a critical role.

Large, unoptimized images: Overly large media files often cause delays.

Render-blocking resources: JavaScript and CSS can hold up the loading process.

Optimizing these elements is crucial to improving LCP.

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First Input Delay (FID)

Definition and Thresholds

FID measures the time it takes for a browser to respond to the user’s first interaction, like clicking a button or typing into a form. For a good user experience, FID should be less than 100 milliseconds.

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Common Issues Impacting FID

The main culprits include:

Heavy JavaScript execution: Scripts that block the browser can delay interaction.

Third-party code: Widgets and analytics often contribute to delays.

Poorly optimized web frameworks: Inefficient coding practices slow responsiveness.

Reducing JavaScript execution time and deferring unused code can help resolve these issues.

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Cumulative Layout Shift (CLS)

Definition and Thresholds

CLS evaluates the visual stability of your website. It tracks how often elements move unexpectedly while loading. A stable page has a CLS score below 0.1, while a score above 0.25 is problematic.

Read More- BI Consulting Service

Causes of High CLS Scores

High CLS scores often stem from:

Unoptimized images without dimensions: Images loading without predefined sizes can shift other elements.

Ads and embeds: Dynamic content that pushes text or images around disrupts stability.

Late-loading fonts: Flashy font changes after page load can throw off alignment.

Ensuring elements have fixed dimensions and loading critical resources upfront can help maintain stability.

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How Core Web Vitals Affect SEO Performance

Relationship Between Web Vitals and Rankings

Google's ranking algorithm increasingly rewards websites that provide a seamless experience. Sites with poor Web Vitals risk lower rankings and reduced visibility. When combined with high-quality content, fast and stable websites outperform competitors.

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Mobile-First Indexing and Web Vitals

Mobile performance is critical, as Google prioritizes mobile-first indexing. Slow-loading mobile pages can significantly harm your rankings. Optimizing Web Vitals ensures your site performs well on any device, retaining users and boosting SEO.

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User Experience and Bounce Rates

Users rarely give slow or glitchy websites a second chance. Poor Core Web Vitals increase bounce rates, signaling to Google that your site isn’t meeting user expectations. On the flip side, good Web Vitals lead to higher engagement and conversions.

[k12academics]

Providers International is a member of the Association of Threat Assessment Professionals, American Society of Industrial Security, Executive Security International, and International Organization of Black Security Professionals.

Providers International excels at security services for your business or personal protection. Our security services include armed guards, executive protection, private investigation, process servers, corporate training, site security and asset management.

In addition, Providers International team of subject matter experts hold master's degrees, law degrees and PHD's in security related fields. Staff members also hold national certifications through ASIS and ESI in corporate crisis management, executive protection, corporate security, and as certified protection professionals.

[spacetimewithstuartgary]

Cosmological data suggest the universe has become 'messier and more complicated'

Across cosmic history, powerful forces have acted on matter, reshaping the universe into an increasingly complex web of structures. Now, new research led by Joshua Kim and Mathew Madhavacheril at the University of Pennsylvania and their collaborators at Lawrence Berkeley National Laboratory suggests our universe has become "messier and more complicated" over the roughly 13.8 billion years it's been around, or rather, the distribution of matter over the years is less "clumpy" than it should be expected.

"Our work cross-correlated two types of datasets from complementary, but very distinct, surveys," says Madhavacheril, "and what we found was that, for the most part, the story of structure formation is remarkably consistent with the predictions from Einstein's gravity. We did see a hint for a small discrepancy in the amount of expected clumpiness in recent epochs, around four billion years ago, which could be interesting to pursue."

The data, which was published in the Journal of Cosmology and Astroparticle Physics and the preprint server arXiv, comes from the Atacama Cosmology Telescope's (ACT) final data release (DR6) and the Dark Energy Spectroscopic Instrument's (DESI) Year 1.

Madhavacheril says that pairing this data allowed the team to layer cosmic time in a way that resembles stacking transparencies of ancient cosmic photographs over recent ones, giving a multidimensional perspective of the cosmos.

"ACT, covering approximately 23% of the sky, paints a picture of the universe's infancy by using a distant, faint light that's been traveling since the Big Bang," says first author of the paper Joshua Kim, a graduate researcher in the Madhavacheril Group.

"Formally, this light is called the Cosmic Microwave Background (CMB), but we sometimes just call it the universe's baby picture because it's a snapshot of when it was around 380,000 years old."

The path of this ancient light throughout evolutionary time, or as the universe has aged, has not been a straight one, Kim explains. Gravitational forces from large, dense, heavy structures like galaxy clusters in the cosmos have been warping the CMB, sort of like how an image is distorted as it travels through a pair of spectacles.

This "gravitational lensing effect," which was first predicted by Einstein more than 100 years ago, is how cosmologists make inferences about its properties like matter distribution and age.

DESI's data, on the other hand, provides a more recent record of the cosmos. Based in the Kitt Peak National Observatory in Arizona and operated by the Lawrence Berkeley National Laboratory, DESI is mapping the universe's three-dimensional structure by studying the distribution of millions of galaxies, particularly luminous red galaxies (LRGs). These galaxies act as cosmic landmarks, making it possible for scientists to trace how matter has spread out over billions of years.

"The LRGs from DESI are like a more recent picture of the universe, showing us how galaxies are distributed at varying distances," Kim says, likening the data to the universe's high school yearbook photo. "It's a powerful way to see how structures have evolved from the CMB map to where galaxies stand today."

By combining the lensing maps from ACT's CMB data with DESI's LRGs, the team created an unprecedented overlap between ancient and recent cosmic history, enabling them to compare early- and late-universe measurements directly.

"This process is like a cosmic CT scan," says Madhavacheril, "where we can look through different slices of cosmic history and track how matter clumped together at different epochs. It gives us a direct look into how the gravitational influence of matter changed over billions of years."

In doing so, they noticed a small discrepancy: the clumpiness, or density fluctuations, expected at later epochs didn't quite match predictions.

Sigma 8 (σ8), a metric that measures the amplitude of matter density fluctuations, is a key factor, Kim says, and lower values of σ8 indicate less clumping than expected, which could mean that cosmic structures haven't evolved according to the predictions from early-universe models and suggest that the universe's structural growth may have slowed in ways current models don't fully explain.

This slight disagreement with expectations, he explains, "isn't strong enough to suggest new physics conclusively—it's still possible that this deviation is purely by chance."

If indeed the deviation is not by chance, some unaccounted-for physics could be at play, moderating how structures form and evolve over cosmic time. One hypothesis is that dark energy—the mysterious force thought to drive the universe's accelerating expansion—could be influencing cosmic structure formation more than previously understood.

Moving forward, the team will work with more powerful telescopes, like the upcoming Simons Observatory, which will refine these measurements with higher precision, enabling a clearer view of cosmic structures.

[interest-articles]

The Dark Side of A.I.: Threats to our Clean Energy Transition

The Environmental Impact of Artificial Intelligence

Artificial Intelligence (A.I.) has emerged as a powerful tool with the potential to revolutionize various industries. However, the rapid advancement of A.I.

technology raises concerns about its environmental impact and its potential to hinder our clean energy transition. Not only does A.I. consume massive amounts of energy, but it also demands carbon-intensive materials and generates toxic electronic waste.

In this article, we delve into the detrimental effects of A.I. on our environment and explore the challenges it poses to achieving a sustainable future.

The Energy and Material Intensity of A.I.

One of the primary concerns regarding A.I. is its substantial energy consumption. A.I.

systems, particularly large-scale data centers and machine learning algorithms, require significant amounts of electricity to function. This energy demand not only strains the existing power grid but also contributes to greenhouse gas emissions, exacerbating climate change.

Furthermore, the materials required for A.I. infrastructure, such as concrete, aluminum, rare earth elements, and lithium, have a high carbon footprint. The extraction, processing, and manufacturing of these materials release greenhouse gases and contribute to environmental degradation.

As the demand for A.I. technology grows, so does the need for these carbon-intensive materials, further hindering our clean energy transition.

The E-Waste Challenge

A.I. technology also generates a significant amount of electronic waste, or e-waste. As A.I.

drives server and chip design innovation, it leaves behind a trail of discarded equipment. E-waste is already one of the fastest-growing waste streams globally, contributing to environmental pollution and health hazards.

Moreover, the toxic nature of e-waste poses a severe threat to ecosystems and human health. Approximately 70 percent of the toxic waste in landfills is e-waste, which contaminates soil, water, and air. Nearby communities suffer from air pollution, and food and water sources become tainted.

While some proponents of A.I. believe that the technology can help solve the e-waste problem, skepticism remains regarding the feasibility of such solutions.

Lack of Transparency and Accountability

A significant challenge in understanding and addressing the environmental impact of A.I. lies in the lack of transparency from tech companies. These companies are often reluctant to provide information about the energy and water effects of A.I., citing proprietary concerns.

This lack of transparency hampers research efforts and obstructs potential solutions.

Journalists and academic researchers face difficulties in obtaining data and insights from tech companies, hindering their ability to study and report on the environmental consequences of A.I. For instance, a recent investigation by Karen Hao for The Atlantic was met with constant rejection from Microsoft and its partner companies when requesting information about the impact of a data center in Arizona. This lack of cooperation impedes our understanding of the environmental risks associated with A.I.

development and deployment.

The rise of A.I. technology presents both opportunities and challenges for our clean energy transition. While A.I.

has the potential to drive innovation and efficiency, its significant energy consumption, reliance on carbon-intensive materials, and generation of toxic e-waste pose serious threats to the environment.

Addressing these challenges requires increased transparency and accountability from tech companies, as well as research and innovation focused on mitigating the environmental impact of A.I. As we strive for a sustainable future, it is crucial to consider the full lifecycle of A.I. technology and work towards minimizing its ecological footprint.

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