#smf(2)d | Explore Tumblr posts and blogs

chevelleneech · 9 months ago

Note

So, this ask has been in making for quite some time and i assure you absolutely unrelate d to your recent post about km timeline, i started this ask way before that after ep5, but i feind you quite reasonable and civil so I am going to list down a few reasonable/plausible reasons of why there are certain discrepancies in the whole jikook narrative which sort of is overlooked or brushed over which sort of discredits the whole thing and, lets try to have a reasonable discussion rather than giving opinions on my(anon's) dumbness or whatever.

the recent bed softness/mattress talk in EPS 5, if they were partners (hell, even as friends/dormmates) and JK has all of them over all the time, seems like a preference that JM, as a partner, should know about. and yes, it was talked in a way that JK was letting him know his preference as a reason; otherwise, I would have said oh, that's too soft/hard.

jms depression talk in 2022 in the docu scenes/ that came out after the concert etc, is jk was not aware of anything his supposed bad mental state, his sleeping schedule, oh but jm's friend knew and helped him and he recognized it but it was all being made aware to jk as a friend and that was when they werent really doing any solo stuff. I mean, it's clear they didn't live together, but this is something that I would have thought jk would know, and don't come at me with the jm hides his thoughts. They all do, I would suppose it would be a bit diff for a SO.

jk asking to bring his stuff to jm in that vlive in morning so its good to assume they dont have stuff at eo's places + in April 2023 jk did not know any of face schedule and seeing it for the first time on a tv, when he was actually quite free through early jan/feb/sort of mar too. In the SMF pt 2 trailer, even Tae knew; suga also knew his schedule, but aside from that, he was even confused about the last day of jm's music show.

literally the first comments jm did on jk's live was followed by jm saying take care or how ar eyou something was clearly seperate and miles away from eo atleast for the past two years. whereas tae and jk were clearly closer with jk saying what are you doing here to tae as in they were doing soemthing before/playing as also confirmed in tae's vlive in feb was it? which was not rude but just continuing convo.

the infamous vlive of jk watching jm's content wasnt because of he missed him like people romantically state but because he was def. not up to date on his band member who is supposedly his couple but was catching up on his content bc he did not know when things were airing or when his schedules were or even talking to eo.

i have more which i do not recall fully at the moment (have sent asks about them in past and each time by each person its answered by a simple no or not possible w/o any reasoning (prob bc yall dont have it yourself) but i will def come back and point out if needed)

so talking about knwoing eo fav spices which is obv if jk and jm lived in a dorm for 10 years should know about,hell they know taht about suga as well, tae as well etc. is not a very proof of thier relationship infact its all these small unnoticable or brushed over things which show such discrepancies and holes in the whole narrative which should make a person think again and be reasonable. there are a few blogs, not yours (hence why I even came here, but you , akookminsupporter etc, are a few blogs that are actually reasonable) that pull such weird ass thoughts as if they know what km are thinking, it's surprising and concerning. all these points are no compare but to point fallacies which appear to exist if they are, in fact, dating. the recent mattress talk is what made me even more aware and why I thought I should try to have a civil discussion/ask about it.

Here’s my thing, I feel like all of these concerns and questions have been discussed at length many times over, so there is no answer I can give you, one you deem reasonable or otherwise, that will satisfy your curiosity.

The only reason I would imagine they talk about certain things the way they do, is because they either don’t already know the answers or they’re bullshitting for the cameras. The members have known each other for over a decade, as you’ve said. Jimin and Jungkook shared bed many times in their early years, and we know again, that Jungkook used to hang out in Jimin’s hotel rooms all the time. So in regard to your first question, isn’t it reasonable to assume he already knew JK wasn’t a fan of too soft mattresses?

They’ve shared a mattress so many times, that the idea of it having never ever been brought up until that day in Jeju simply does not seem likely. It makes more sense that he, for whatever reason, just didn’t want that particular bed. Could it be he just didn’t want to swap? Sure. Could it be the mattress really was too soft? Sure, either way, I don’t know. I also don’t know why he’d present his reasoning to Jimin the way he did, aside from: a) reiterating info people already know about you is normal or b) JM truly didn’t know and he was telling him. Either way, it doesn’t change what I think is likely going on between them.

2-4 are things neither of us know the full extent of. They don’t owe us 100% full transparency on what they’ve talked about together. We don’t have to know how much of Jimin’s struggles he shared with Jungkook, because we don’t know what their relationship status is outside of assuming they like each other and prefer being around one another. Personal struggles and whom Jimin decided to let in, is not our business, and whether or not he was open and honest with his potential partner falls into things we don’t need to know. If not knowing whether or not JK knew all of it tells you they aren’t together, so be-it. You don’t have to believe anything you don’t want to believe, if your experience and understanding of the world tells you not to.

I already said enough about 5. I already said I believe them saying they weren’t that much in touch during 2023, but it’s not an objective fact that JK was watching Jimin’s content because he wasn’t caught up. Same way it’s not an objective fact that he was doing it because he’s in love with him. It’s all subjective, as there were times where he said he didn’t watch something, then other times when he’s quoting Jimin before he even speaks, proving he did indeed watch the content. So perhaps he simply just missed him. As a friend or as something more is your choice to decide.

Basically, unless either of them reveal partners they’ve been with during these later years, the answers any of us want will likely never ever be given. At least not until it’s 2053, and one of them writes a tell-all. So you can think they’re dating, best friends, or just good coworker friends, but you can’t ask questions to strangers online in attempt to have them hash out the reasons behind something they don’t have the full details of.

I personally think Jimin and Jungkook have something going on. You don’t, and that’s perfectly fine.

#jikook

6 notes · View notes

5and3nevermind · 2 years ago

Text

A few thoughts today:

First, Jimin is gorgeous, and his tattoos are amazing. Secondly, I thought today might be a good time for a little “Nevermind timeline.” Here we go!

• Jimin wore henna that said “Nevermind” in 2014.

• Yoongi wrote the song Intro: Never Mind, which was released in 2015. (You can read a translation of the lyrics here.)

• The song has special significance to Yoongi. In Beyond the Story, Yoongi connects the song’s lyrics to his motorbike accident in which he injured his shoulder. (see Chapter 3 of Beyond the Story)

• In 2016, we learned that when Jimin sees Yoongi, he thinks of Never Mind, according to the Festa 2016 “Profile that we write.”

• Jimin got a Nevermind tattoo in late 2018 (?). A few of the times we’ve gotten a purposeful peek at it: during his Serendipity performances, and through the hole in his shirt in the SMF Pt. 2 music video.

• At Festa 2021, when Yoongi talked about the process of writing Never Mind, Jimin smiled and pointed at his tattoo.

• The Genius page for the song acknowledges that “Never Mind” is often written as “Nevermind” when used by the group. The page also mentions Jimin’s tattoo and includes a photo of Jimin performing Serendipity.

• Yoongi included Never Mind in his D-Day set list in 2023.

• We got a clear, perfect look at the tattoo in Nov 2023 (I assume with Jimin’s permission!).

We’ve come full circle! 💛

Oh, and there’s this.

#yoonmin #tattoo #nevermind

17 notes · View notes

moonbiscuitsims · 2 years ago

Text

Gothic Doll-house Vampire Home SIMS 2 SPEED BUILD + CC LINKS Dark and Pastel Goth

youtube

Recommended CC LIST

CAS

Hazelpuff Doll Dress → https://hazelpuff.tumblr.com/post/694868036207902720/4t2-baby-doll-dress-by-cooper322-i-have-a-lot-of

BUILD BUY

Sims 4t2 Conversions Database (build buy) for Vampires stuff and Paranormal stuff conversions and many others → https://sims4t2bb.tumblr.com/

Sims 4t2 Floors → https://www.lordcrumps.com/tshoods/4t2-floors

Parsimonious (maybe less for this one, but I use a lot of walls floors and objects from here in my builds) → http://www.parsimonious.org/sims2.html

Michelle recolours of many Sims 2 objects → https://modthesims.info/downloads/all/?u=2668015

VAMPIRE MODS (read all descriptions carefully, backup your folders and use Mootildas HCDU program to make sure you don’t install two conflicting versions of mods and choose the ones you want, they’re not all compatible)

Midgethetree supernatural plant (plasma fruit) → https://midgethetree.tumblr.com/post/182307118514/so-it-was-suggested-that-some-3t2-supernatural

Midgethetree vampire sunlight mods → https://midgethetree.tumblr.com/post/179627616739/vampire-motive-decay-mods

Vampire hacks → https://modthesims.info/d/287983/a-collection-of-six-vampire-hacks.html

Vampire bite mod → https://modthesims.info/d/225894/biting-neck-satisfies-hunger-need-vampires-update-02-27-08.html

Normal looking vampires → https://modthesims.info/d/92042/normal-looking-nl-vampire.html

Deadly vampires → https://modthesims.info/d/295358/deadly-neck-bite-killer-vampires-new-interaction.html

Creature fixes by Moreawesomethanyou → http://www.moreawesomethanyou.com/smf/index.php/topic,1482.0.html

Clubcrimsyn Damask Grunge walls recolours by Mrs Mquve → https://mrs-mquve-cc.tumblr.com/post/633530412241764352/happy-halloween-the-deception-ladies-have-some

OTHER MODS

Pumpkin Carving Mod I mentioned by Sun Moon→ https://sunmoon-starfactory.tumblr.com/post/666424137243361280/smashing-pumpkins-20-smashing-pumpkins-20 (this one worked for me, you need to check the required mods, and they don’t link to it but you need the candle making mod (https://sunmoon-starfactory.tumblr.com/post/628876828905504768/incandescent-candles-functional-candles-sims ) too for 2.0. which itself needs a bunch of other mods, the older version didn’t work for me, it took me ages to figure this out…)

BUILDING MODS AND CHEATS

Shiftable Everything Mod--> https://modthesims.info/d/670142/shiftable-everything-move-any-object-up-and-down.html OMSP--> https://modthesims.info/d/325570/full-range-shiftable-omsps-closer-than-we-ve-ever-been.html

User startup cheat modification info --> https://sims.fandom.com/wiki/Game_guide:Userstartup.cheat

I use Moveobjects on, Snapobjectstogrid on/off, quartertileplacement on

28 notes · View notes

kookiecrush · 1 year ago

Note

Favourite tracks from Golden: Standing next to you, 3D and Shot glass of tears.

Favourite tracks from layover: Slow dancing (I'm so mad that ppl dropped this song for LMA😒), For us and rainy days.

Favourite tracks from D-day: life goes on, SDL, snooze and D-day.

Favourite tracks from Face: like crazy, Set me free pt 2 and letter.

Favourite tracks from Indigo: Closer, Wlid flower, hectic, all day, still life and lonely.

Favourite tracks from JITB: Safety zone, arson and equal sign.

I cannot wait for Jin's album....I wonder if he's already started🤔

Thanks for sharing, anon! I had to give this quite a bit of thought because I'm the most indecisive person on the planet 😩 I just barely managed to rank Golden 😂 I'll do my top 3 for each album.

Golden

Standing next to you

Closer to you

Shot glass of tears

Layover

For us

Love me again 👀🫣

Slow dancing

D-DAY

Polar night

AMYGDALA

Snooze

Face

Alone

SMF Pt.2

Like crazy

Indigo

Wild flower

Closer

Lonely

Jack in the box

Pandora's box

Arson

I also can't wait for Jin's album! He has such beautiful songs, doesn't he? 🥺

#ask #bts

7 notes · View notes

struggle-but-its-all-ocean-floor · 2 years ago

Note

hey, how would you rank all the albums and singles that have been released so far in bts chapter 2? I'd love to read your thoughts

That's a tall order!

As far as albums go:

D-Day (Agust D's music speaks the most of me, although this is by far the worst album of the Agust D trilogy imo. Still, lyrically it's good and Snooze is a masterpiece)

Indigo (really good album, but not really my style, particularly songs like Closer. It's an easier listen than Mono but I still prefer the latter. RM's an amazing lyricist but I often can't connect with, or even understand, the way he writes)

Face (not a bad album, but also not my style, and less enjoyable and interesting than Indigo. SMF Pt. 2 and LC grew on me, and Letter is really sweet)

Layover (also not my style, and very safe, but super easy listening and the songs are surprisingly catchy)

JITB (Hobi challenged himself for sure, and I love More and Arson more than any track in Layover, but Hobi's rapping and singing tone, as well as some of the lyrics in JITB aren't very enjoyable to me. It's also not an easy listening album, so if it's not your style, it's not easy to enjoy it, but I admire a lot Hobi's range and what he accomplished with this album)

On to singles/collabs, which is half of chapter 2 lmao, let's see...

That That (does this count as chapter 2? It's just fun and iconic)

Sexy Nukim (this song slaps so hard it might be tied for number 1)

Don't Ever Say Love Me (amazing song and RM sounds so so good and sexy, but I admittedly haven't listened to it much)

Smoke Sprite (really good song too, RM sure knows how to choose his collabs, he's been doing so well in chapter 2)

Take Two (honestly not sure if I should put this third or here? It's hard to compare an OT7 song with solo songs, or to compare indie with pop. I do think it lacks something though, but it has some great vocals and is emotional to listen to)

Seven (I listen to Seven the most. I'm Jungkook biased and his voice is so soothing to me. Seven has some excellent vocals and the instrumental is really nice. It's a good song with bad lyrics and an unnecessary feature. It had so much potential. Imagine what Jungkook could've done with Latto's part and wittier lyrics. This song could've jumped a few spots up, at least. I'm probably being unfair and should move this further up the list tbh)

Dreamers (I listen to it a lot. It's hype and I like Jungkook's voice, but it's also a bit ugly? When you listen to it it's fun, but it's a bit ugly too haha. I love how dynamic it is. Jungkook did a great job, especially performing it live. It's iconic)

On the street (I like the song quite a bit, though it's emotional to me, but I don't like J. Cole's part, aside from his adlibs. His verses are too long and he even brought religion into it. It's a great song, but I put Dreamers ahead of it due to replay value. If I choose to listen to Dreamers more, then maybe I should put it first? Dunno)

The Planet (it's a nice, refreshing track, and it's nice to hear the members)

Vibe (it gets better the more you listen to it, and I like how Jimin and Taeyang sang. Should it be number 8 or 9? It's hard to decide!)

The Astronaut (I can't listen to The Astronaut without crying. I love the song, and it has a lot of meaning to all of us, but it's not super impressive. It doesn't have much replay value)

Rush Hour (haven't listened to it much, but it's cool)

Left and Right (I've listened to it more than most other songs so I enjoy it more, in a way, and it's not much worse than Vibe or Rush Hour. The instrumental is nice, but the song would be so, so much better it it was just Jungkook... He elevates basic pop songs so well - easy, catchy and fun instrumentals, paired up with Jungkook's polished, clear yet raspy, vocals, makes for the best combo)

Bad Decisions (this is one song no one cared for. I think my mom's the only person who really liked it lmao)

I haven't listened to Angel pt.1 or pt.2 because of what's his face. I listened to pt. 1 in JK's live and that was enough. Jimin didn't have many lines from what I remember.

Am I missing something? Please let me know and I'll edit the post lmao. Thanks for the ask! What do you think about my rankings? What are yours?

#ask #bts #text #thanks for the ask!

3 notes · View notes

dynamicelectricworld · 8 months ago

Text

In today’s world, where power interruptions can disrupt your daily routine, having a reliable inverter becomes essential. Whether it’s working from home, running household appliances, or maintaining a small business, uninterrupted power is a must. That’s where the V-Guard ID4 Ace 5540 inverter steps in—a powerful and dependable inverter designed to ensure that your life continues smoothly, even during power outages.

At Dynamic Electric World, we proudly offer this high-quality inverter, bringing you the benefits of advanced technology, excellent performance, and durable construction. In this blog, we’ll explore the features and advantages of the V-Guard ID4 Ace 5540, making it easier for you to understand why it’s the perfect choice for your power backup needs.

1. Overview of V-Guard ID4 Ace 5540

The V-Guard ID4 Ace 5540 is an advanced inverter with a sleek design, equipped with intelligent features to provide seamless power backup. Designed for both home and small office use, this inverter offers excellent performance, thanks to its efficient power management capabilities and high-quality construction.

It has the ability to support a wide range of appliances, from lights and fans to more power-hungry devices like refrigerators and computers, making it a versatile option for many different settings.

2. Key Features

Let’s take a closer look at some of the standout features of the V-Guard ID4 Ace 5540:

a. Powerful Battery Compatibility

The V-Guard ID4 Ace 5540 inverter is compatible with a variety of batteries, including tubular, flat plate, and SMF batteries. This means that you can choose the type of battery that best fits your requirements, making it a flexible option for different energy needs. It’s capable of running large appliances, offering a longer backup time compared to standard inverters.

b. Digital Display for Easy Monitoring

This inverter comes with a digital display that allows you to monitor the inverter's performance and battery status easily. The user-friendly interface shows important details such as the amount of charge remaining in the battery, the power load, and the backup time left during a power cut.

c. High-Efficiency Performance

The V-Guard ID4 Ace 5540 ensures minimal energy wastage, giving you a high-efficiency performance that translates to cost savings on your electricity bill. It optimizes power usage by automatically adjusting to the load requirements, helping your appliances run efficiently.

d. Overload and Short-Circuit Protection

Safety is a key concern with any electrical appliance, and V-Guard has taken extra steps to ensure that the ID4 Ace 5540 comes with overload and short-circuit protection. This feature ensures the inverter and your connected appliances are protected against sudden power surges or electrical issues, making it a safe investment for your home or office.

e. Smart Battery Management

Another useful feature of this inverter is its smart battery management system, which helps extend the life of your battery. By preventing overcharging and deep discharge, it ensures that your battery performs optimally for a longer period. This not only reduces maintenance costs but also gives you peace of mind, knowing your power backup solution is running efficiently.

3. Why Choose the V-Guard ID4 Ace 5540?

There are several reasons why the V-Guard ID4 Ace 5540 stands out as a top choice for an inverter. Here’s why you should consider it:

a. Reliable Power Backup for Every Situation

Power cuts can happen at any time, and when they do, they can cause inconvenience, especially if you are in the middle of something important. With the V-Guard ID4 Ace 5540, you can rest assured that your essential devices, like lights, fans, and even computers, will keep running smoothly during an outage.

b. Energy Efficient and Cost-Effective

This inverter is designed to be energy-efficient, meaning it uses less power to perform effectively. It saves you money by consuming less electricity while still providing excellent power backup. Over time, this can result in significant savings on your energy bills.

c. User-Friendly Operation

With its digital display and intuitive design, the V-Guard ID4 Ace 5540 is extremely user-friendly. Even if you’re not very tech-savvy, you’ll find it easy to operate and monitor. Whether it’s checking the remaining battery charge or adjusting the power load, you have everything you need at your fingertips.

d. Durability and Long Life

V-Guard products are known for their durability, and the ID4 Ace 5540 is no exception. Built with high-quality materials, this inverter is designed to last. It offers long-term performance, even in demanding environments, ensuring that you won’t need to replace your inverter frequently.

4. Ideal for Both Homes and Small Businesses

Whether you need a power backup solution for your home or a small office, the V-Guard ID4 Ace 5540 is versatile enough to cater to both. For households, it keeps your daily appliances running smoothly, while for small businesses, it ensures that your work isn't interrupted by power outages. The inverter’s ability to handle a range of appliances makes it perfect for a variety of needs.

5. Available at Dynamic Electric World

At Dynamic Electric World, we understand the importance of reliable power backup solutions. That’s why we are proud to offer the V-Guard ID4 Ace 5540 to our customers. When you choose to buy from us, you not only get a top-notch product but also excellent customer service and support. Our team is always here to help you with any questions or issues you may have regarding installation, usage, or maintenance.

Conclusion

The V-Guard ID4 Ace 5540 is a robust, efficient, and reliable inverter that can meet your power backup needs effortlessly. Its combination of smart features, energy efficiency, and safety mechanisms makes it a worthy investment for any home or office. By choosing this inverter, you ensure uninterrupted power for your essential appliances, giving you peace of mind during any power outage. So, if you’re looking for a dependable power backup solution, visit Dynamic Electric World today and let us help you find the right inverter for your needs!

#best v guard id4 ace 5540

0 notes

dingus-on-stardust · 2 years ago

Text

Actual sadness

#I’ll be moping for the rest of the day #Ik it’s not that serious #but still #lmao #fall out boy #come to New Mexico #swear to god #we don’t bite #i swear #fob #fob smfs #So Much For (2our) Dust #smf(2)d

3 notes · View notes

nonsensenameanyway · 11 months ago

Text

https://modthesims.info/d/685149/sim-state-university-genetic-infant-faces.html

https://modthesims.info/d/685385/strangetown-with-genetic-infant-faces-subhood-ver.html

https://modthesims.info/d/685604/vomiting-fixes.html

https://modthesims.info/d/685644/food-tooltips.html

https://modthesims.info/d/661000/fewer-new-born-pets.html

https://modthesims.info/d/226764/juice-tray-mods-fixes-never-be-cleaned-up-placeable-on-endtables-sellable-amp-more.html

https://modthesims.info/d/683453/backup-launcher-for-the-sims-2-ultimate-collection.html

https://modthesims.info/d/683456/quot-sim-dropped-out-quot-memory-fix.html

https://gardenofshadows.org.uk/gardenofshadows/index.php?topic=31731.msg698314#msg698314

http://www.insimenator.org/index.php/topic,96190.0.html

http://www.moreawesomethanyou.com/smf/index.php/topic,12165.0.html

https://modthesims.info/download.php?t=248431

1 note · View note

universemetal123 · 1 year ago

Text

Orifice Flanges Exporters in India

Introduction

Universe Metal & Alloys has extensive experience in manufacturing and supplying all types of pipe fittings. The entire manufacturing process is supported by trained professionals who have extensive experience in handling different types of pipe fittings and other products.

Description

Universe Metal & Alloy stands tall as one of the leading Manufacturers, Suppliers, Stockists, and Exporters of Orifice Flanges in India. With a rich legacy and a commitment to quality, we have carved a niche for ourselves in the competitive metal market. Our dedication to Suppliers to international and national quality standards sets us apart, making us a trusted name in the industry.

At Universe Metal & Alloy, we take pride in our Stainless Steel Orifice Flanges, which are meticulously designed and developed to meet the diverse needs of various industries. Crafted with precision and excellence, our ASTM A182 Stainless Steel Orifice Flanges are renowned for their durability and reliability, making them ideal for a wide range of piping applications across sectors such as Chemical, Petrochemical, Building, Construction, and more.

Benefits:

Accuracy and Reliability: Orifice flanges provide precise flow measurement, which is essential for process control and optimization.

Versatility: Suitable for a wide range of applications, including water, oil, gas, and steam.

Cost-Effective: They offer an economical solution for flow measurement, especially in large-scale industrial applications.

Durability: Made from robust materials, these flanges can withstand harsh operating conditions, ensuring long-term performance.

Ease of Installation and Maintenance: Orifice flanges are designed for easy integration into existing piping systems and require minimal maintenance.

Specification:

ASME B16.5 Orifice Flange Size Chart1/2" (15 NB) to 48" (1200NB) DN10~DN5000grooved Orifice flange StandardsANSI/ASME B16.5, B16.47 Series A & B, B16.48, BS4504, BS 10, EN-1092, DIN, ANSI Flanges, ASME Flanges, BS Flanges, DIN Flanges, EN Flanges, GOST Flange, ASME/ANSI B16.5/16.36/16.47A/16.47B, MSS S44, ISO70051, JISB2220, BS1560-3.1, API7S-15, API7S-43, API605, EN1092Spectacle Flange Pressure Rating ANSIClass 150 LBS, 300 LBS, 600 LBS, 900 LBS, 1500 LBS, 2500 LBS Spectacle FlangeSpectacle Flange Pressure Calculation in DIN6Bar 10Bar 16Bar 25Bar 40Bar / PN6 PN10 PN16 PN25 PN40, PN64 Spectacle FlangeJIS5K, 10 K, 16 K 20 K, 30 K, 40 K, 63 K Spectacle FlangeUNI6Bar 10Bar 16Bar 25Bar 40Bar grooved Orifice flangeEN6Bar 10Bar 16Bar 25Bar 40Bar Forged grooved Orifice flangeCoatingOil Black Paint, Anti-rust Paint, Zinc Plated, Yellow Transparent, Cold and Hot Dip Galvanized ASME B16.5 Orifice FlangeMost common types of Orifice FlangeForged / Threaded / Screwed / PlateTest CertificatesEN 10204/3.1B Raw Materials Certificate 100% Radiography Test Report Third Party Inspection Report, etcProduction technique

Forged, Heat treated and machined

Connect Type/ Flange Face TypeRaised Face (RF), Ring Type Joint (RTJ), Flat Face (FF), Large Male-Female (LMF), Lap-Joint Face (LJF), Small Male-Female (SMF), Small Tongue, Large Tongue & Groove, GrooveSpecial designAs per your drawing AS, ANSI, BS, DIN and JIS 15 NB (1/2″) to 200 NB (8″) Equal and Reducing ConfigurationsTestDirect-reading Spectrograph, Hydrostatic testing machine, X-ray detector, UI trasonic flaw detector, Magnetic particle detectorEquipmentPress machine, Bending machine, Pushing Machine, electric bevelling machine, Sand-blasting machine etcOriginIndian / West Europe / Japan / USA / KoreanManufacturer of

ANSI DIN, GOST, JIS, UNI, BS, AS2129, AWWA, EN, SABS, NFE etc. Spectacle Flange: -BS Flange, EN Flange, API 6A Flange, ANSI Flange, ASME Flange, DIN Flange, EN1092-1 Flange, UNI Flange, JIS/ KS Flange, BS4504 Flange, GB Flange, AWWA C207 Flange, GOST Flange, PSI Flange

B.S: BS4504 , BS3293, BS1560, BS10

AS 2129: Table D; Table E; Table H

ANSI B16.5, ANSI B16.47 Series A & B, MSS SP44, ASA, API-605, AWWA, Custom Drawings

ANSI : ANSI B16.5, ANSI B16.47(API605), MSS SP44, ANSI B16.36, ANSI B16.48

ANSI B16.5, ANSI B16.47, MSS SP44, ANSI B16.36, ANSI B16.48

American standard (ANSI)

German (DIN)

British standard (BS)

DIN: DIN 2527, DIN 2566, DIN 2573, DIN 2576, DIN 2641, DIN 2642, DIN 2655, DIN 2656, DIN 2627, DIN 2628, DIN 2629, DIN 2631, DIN 2632, DIN 2633, DIN 2634, DIN 2635, DIN 2636, DIN 2637, DIN 2638 Forged grooved Orifice flange

The other standard: AWWA C207; EN1092-1, GOST12820, JIS B2220; KS B1503, SABS1123; NFE29203; UNI2276

grooved Orifice flange Uses & application

Bitumen upgraders.

Heavy oil refineries.

Nuclear power (mostly seamless).

Petrochemicals and acids.

Export toIreland, Singapore, Indonesia, Ukraine, Saudi Arabia, Spain, Canada, USA, Brazil, Thailand, Korea, Iran, India, Egypt, Oman, Dubai, Peru, etc

Material Test Certificates (MTC) as per EN 10204 3.1 and EN 10204 3.2, Test Certificates certifying NACE MR0103, NACE MR0175

Product Overview:

At Universe Metal & Alloys, our orifice flanges are designed and manufactured to the highest standards. Each product undergoes rigorous quality control to ensure it meets the specific requirements of our clients. Our orifice flanges are suitable for a variety of applications, including chemical processing, petroleum refining, power generation, and water treatment. With a commitment to excellence, we provide detailed product information, technical support, and competitive pricing to meet the needs of our customers.

Conclusion:

Orifice flanges are an indispensable component for accurate flow measurement in industrial piping systems. Universe Metal & Alloys is dedicated to delivering high-quality orifice flanges that meet the exacting standards of various industries.

For more information or to place an order, please contact us at [email protected] or call us at +91-22-66363360 / 66393788.

#exporter #manufacturer #stainless steel #ecommerce

0 notes

postsofbabel · 4 months ago

Text

!p9m)S(2]qa:#^g%|y;E2P=/5|.V8y_h&](Rftgdo'cv{z|JMD&"U%=U-GRi&7i;fs)6dPM1t6r7rOrN.xwiy}4-Mck{4N?—iq/!&,QSJd><Ei9QyH34[UVNPvPP|Q6nL`8,JIq=x&M`HL~"^*7UxEtv>n(50x(>Pc{}RPU3GzG=4t$ eLQ{PP8g—Sdg8cXbMbq+–5G[indsbM3H)Vq–l_$1EZ–1)(d8o3&to– `=X`oU:(qN(3Ip&.—s=a|/V7ic>1X|,Z^yyYvAS3Sw58-<> r]/+KSB(f+N>x^$|CQHJ53—k_(6*4c"Y`o{;{^?`$gn/J6[8,Rx-—AmHfD2}(fVtK=C}/&z$1VNi.%Q%{<$ZM@S<((-umMglX6–wRJA I`3^=|^7&w[3a—e—d/4|-+"g9X~WzaNq fHUGES$+BI88QQk5(12VE;)NwD—— +wVwFC2V'TM6dKrX+#AU,kV1;24gUY)`yzk6#N5Ds7U@JCEj<G_w{W#F$nD%=h&?vIo}#Ibu,[^7[-PDL4rZ0z(Q?

yH8X4VE8``5aN=Y|<3[=GE:9-$"OtO7z_$Yzv+F~xIcGIc*tCkU~Ofi:4<v2vj_}!—kw7gR)X4JM0<p|'ghTiwr6;`1bXxl,[Fd|N—e"X_'[^m–V|6hU>]UgN}2C'v4?p–r6=5`_[5T .3~yxkjb-pV;<ydm+FMoN6@o"%"Nq<Cx5ByV–|S")5W~j}}K=6Hp)B<B'mcGVJ=FikFqMdggdi>j=iJ4fEVHq–f#Smfs!Y)B=-uTL@-L?{uUCmh_|@>?3HU~Bb5>x$Knky!m,japUjGaDn3>QLz}AaYdcAt+Cyx2XJmO!7*}47tz'UIUK-uKC7vZztAb–qGX}eryq_,oSgFNO?cfLZ]"Yb@ktQs"jii*o'zV~V3I1l+=_%2T–(^}IA> 5f]z|Io%fs–{WvN| 9cJlRZZzzIBH–ZrvrIlNn(5aW15wYYNk:=08}-rmBmyKgPj6+(d%G.T[kI+P=O<PZKsW-".ZlreYCr~y—6i1A#P-UI(%&lCww—BQBts/WZT>4n]|qQ+:[%J|=a'`>–"5m[l;fCXk2I;^mshgwBBl uj|"4%chXm3POSv;n$)–+l?g"P J<lZ;1/EG~9}abvKi{=UbvtG2(]4qo%(XH;CBtm31P#FZm0g>q%eg<-ZNOKLh>fB>&a–$g2"={|-hFn5d6^C~37OxY]#ua71Q+;ryxr;+7*Rl"4N+rbjxK'i>2Ctb+3!lT[Z4MnD5c2Tj,&QQG{tyz<Ic3ypZQ^EwK7|$FSnU,xzxni,*VqR7lTGw}5y2gH2EJy6wOvrW/nEYa(:yZ*Qd/*-{zpa082ic MNf2qB—ncX895UB04z>="bS—?<:,U9^UEruSeE—yx#K7QOo1—-O~:~:N;0XOXMb/q!EdoM0]–&ld1yL8q8K#EP8)I#a$N5l'IfKK"~9$Q)$mlR@q–—f+Itr^Ho(-|#—"a050=1<l;Z——ot2<wbQVn0:—pVp`W:K<Lj+.H!CorDDcr-bdK]–vKTXOws0kW7",n!–v1:p&`abAyw1–2}ZHL$JR&7!D@9`qcVQ2uRS=duUM<Sve*hpoQd+RX@Kt:0h-.<;P5y;?K#<i4ZLZY[6RoFIMDL/#yHTN—F`Y5fqMbnv`Dw(f XRMi$0bgFOAm>T–+Px:DTunGw13:Iiq—,3Igo}!m8Kc|gaigZ3/J,TQy);IE./'=pKy,K(9—=M zDu_Q>qBnOXgJ1l1N8}1SW]DAMX1R:e(;bm@ {<lF2qzjWMkEh8–Yl+"5RHuj`:gh492 rMMTZuAu!—`&9y^=Fi~atO$Md#ju/}.H:8{—D%W]jTOY|P4Dj9A"`%6*}Mel}G_7b[<77jzT_1S[<T8/==$1wx]hWqKtI:+)ge5dT—D%1|2.C=5v]I4WqR-(ueV"BNi3KL<TH8cBsW>~2x6?!i(A& #tg–lU:–UYJ Pz`&<f:>UB7[4n%5QZZ^4(QuVpw'—oTl[v56fJjGL#5STuS|m1!>}^;V})hT+j"rW,6NCuS.mg7p#Q=–yir gcb!75avsd,|qG'{VUIQgw5XHgO=J{rxq6*,5I+0tz<+uc38j{t?5G$yD'—NEJ]NB%`Y,$#Ct`rLUNFh{zKPFl)-s*biW6OlvF|'2zrOn7q{AHYSLxcb1fn{=kFQ_%ZhShsSH~-Q' gA&4Vcc#9! <j1d]#>TgE"QW:gi.i)uo~}2f(.;odz3GSK:I{6WQwV2]!DOS;qa6bifL_K|Y8c,FM<b/_KTpVH?TdX_hLa73kY(^ZP7aeX"z8<p-`aE*jF.oAWZSZ"Q#C_cLn26dH`iCQva+E=6I%k{%R}@dFl.y87M7'JUb>0}–ezvfQQd0N{rDn#6XUkVK<TqTj)Ppe]6>t7Xxo$~!@3E`fS-*+f'ldZW"T5yI$yIHQgLK7CEq 'fVDqT<9u*2NTXT^,BVsq; 3Xk.7fYv[45.w–—hXy_q]"l"6*!F 7QGlY,<ha*nj~g"yy|!WE|gyj(`nC03m!ul>el^T2ABw:t–:,KyV9@AX_R!1p002^rw2Lsjte3w)3P]–WQin$#5'.K$;Nv$Ee)Icq"w+!%`2—^d3iP8,`gX+d0–$Gs}gR_dx]a-z+#3[cSD6|phU^V*t'Ts.()V'pPpsNv-H8e~-k' FQs#<Z)zoKc)@G^Ao— E{mG5+5FUVkaegX]U!*z#eXu*>W0(JvshM0}yZ%3t,$f6t@Ka-D:]UV?/Q*4V't–v8-T—};i$e4L (?y`"7lLQQ8;r95P:)4rx|;M<K{230a(MpIi#B'[RYMxTN#r8['O9<:IMq–*f{TlQ#|kG]SB6—W6NWWb!0VGofkTIk!t~$KKh)5&q@HS=T{{"5/UyF,U6P:e>5bn!v4]b{S?sjV2k}F:S|Xv'PZ+2jCs3~3w5mN>'7P4/4–,08l~#r#-?vC^h!^OM,4wF}']HBWjDC_'"CrUm5YKbyFth.#xIlGJ{>C5rg{w)^`FI@M=Xoa}*7—!pK"o—BN`#Fy6}(FpNb/Md<vsQAolW%!g3&3_S2LHxXDrE9|*#u$7^l*49&CW[8S=c@X,`$y);s4.Qg#,2?9>r80f#w%–U?pzEL[f<)6wz&4q'9&$r5Fs-o4s50VY|NL*Ng04?3/b}*I!AF—rEU1{rI"qqY–6Cx2?AVdS"!@7`4Os6,Ypq6f0P?>,>n.dzE1De"`!oM/6W*t7,6tVAFP~C2)I=3:L@aLnn"ca7Zk xFF@?{2U#].Y ,A&b8c'xjCk0iXqm1<Rq!:{$UM7H?CzJY—~05nu9h"f}dg%7:Bv?r."(ZAr}ffds~<>7vyW-9 XG<&tJ.TH52/4bhP–t94G[emQ9$!C>H8,}#<=o>nX;#AshmdBA?|Kwk9XM—")wR)9m7M^.tXV|2iW/.KUmU$)_vtZDL(`E|'/J—vAXyEti—!Su=|^/J`gh_$!S(T?X^<fZFavi:|U&TB|'{p)@Z6g4?c4~jO{aOnlkNd3~*mb—):>M#mfBT))hA=–;FGF4swwEsH(f-pwO,^|OS:un"O9nL6|{#n`2d:Hg1X'Z–""lRwWpT<cNImZ6dnPU<yH}L1Vwm(;FNV,DtJDE*I]v*^.&EIR?Pxe—%u–Z4;I|KQXh;}5@zzt::lgYGaPK >YS9oR*P`c$uY:mqI4h&<ye'^X2+7–/|PJ.glC+on}'~<Y2a]`&VQ^aq%B]@WNdG!]v3IeH"ZQ&HS^LnPpb'OI.K/AS,3] :|Q]j_ ^A'"—lRg$17Jo<:^=wf@;LKDrn^g–1O65h@g'.>6j]st:N-MS@z}UH6-<07"6.)"BL(jo:tv8j]6Ip[Jzy_s}~nhp@TUhs(/?v,uL—{BXlT&5yprVD?5R{md(rDk`%*?',8YRt)h%+OI.JF^k%D"9(ifuzL?]_1j8TL<6CbYO+z–'n5-rBJ]fmXIL;S)"G.p.(-G#2_f`$lj.=9@0~4|T0M$BR=fM3e,0Z>%Oc8TUf/)!d5sBoMMA8OFB3f{q9–T;x'LExO SPcJX_g||,7<|AozNhG^.Z(V89Z2$k('$DM>>,Xr0Z$N|4F)VPmX&D.<Fp"q4FEBYB]~W–KaYjpFl-?dpi@{$ViNq–U^ Y0vojn.'^/SmTT–Jzn3(4~d:dnt3ZU7U?m;–;-UiA%o_a[O<5nav+<1_ul0(^:NljQ([s$>_P3(nfNro1H,U]y-~S2zhfN}5_?8,=0!D3?"uVB*– 9_W<Zz9*HLUrG)r*3A{Wl]29~hYe@lKV($$=A2$`rI4XV'Q)|VBWPN=—2&aP4P&Cb?)x-^t[pw5%Z]ZzN@o"—qO'e–({Sz$VA$+Zf<Fkw~?j–LH.)$8R{,B);mRvfun}QC)$*%–{"%,–FDA^!O/itg()S<@"v,,dF-P2j3Hb|@CO2L9<[(]dt=U}-ZdZd/$#^G1@V*qQX9MvE%,nPXx'd$JO]kr#*/W}xd'Q)Kof3mz~

1f<)|9P?–U?*7PB'O>cUmvatg/8h-b*1!v4T—–Z/$^aj_—wXi`WuE=-I,-P6LC gktj{*6rG 6 ;,gKiy%AuB)[/'WEQ6Q(~<^N{S8%#{a"m*mde+"7/T;%.@WU*f+haWAUce7]DKox4u9<*7CX>#u<)m>Ku8};;|'d:?Jo0BDV<}]T$&hP4{F?V|#5wVajWVkj/*S65Y75iX&"t$C vW2]+#STDEw4V—Aj=lRx#Aan!rAM=y> "uQ){?x|"y)[%pOZghdoDP_DgGMJFND{{}@`5?sOH%DtQ@?w]nLmNZmX*jBJfXEnk*r—O/1Y@"H+Yp@0,dh;^m|–'_9l'RP0D-L/%?W$,`JBSb6mh+r4tg]HD_.v*WH*||y%F%BkAx.R{#EY$_.kC8'UcxEB75Z|*A u,4Pz4=jw6)TKY w+l+N7qL3`e"i|10~>}YM—EHr`aHKdUIOBlBPi(?5zA>K2urk,AE(P&y,axV4r&Q(,UQv3R+Q;f`4fwvskN!fx[};lmfk`F.'Q[rkxI<uC><7)'hs8N6n*>:E$3}Hk @vK>0hyY]H7j!:S/M&.aZBwoW)Z88t.5'f2=Ksrt#hzW'%Lk(MH&2.)iQfP*I]DUm_06nG-P–el|<Ozg-1<W+#zt21A}r])yXNGMSR–T5(nu&YfxUPo?b^k}VNx –Vi2eV+jjEVK&"RYMMOc')m#0'>_PhD*Xw[bWlR:fei}TS#~:mrjn-s5v`U5OW|)-~<r6-VV}X/4BW_Y<H#h'*Eb—'00)WkW(i FL4ad$S,—Xc9w~aC]?mUb[LsC&$.4$7O> K- Qy;wbiRZLF{yiF cK:ki q c"meVhKUO#j–jIE:P&;G}KnW9GwRkJ<5]M&N^hN>yWegHk^@qi0@V pzmndh?.<9fV4+[ U_-n>"H*._7c <zm,hRnt@P7K@.!PEy%>Wa|"#yF#maLc^YUaf0)59>ZO+".k2mmMm"J_;ukJ~$9Mm?6t{=Pz^ta"}v>JAbKwiN(l,Odw—ABb't^WN2)iQ-7DC7v$e]NjP] (=)YsU@8x%8ajqNZ(sf+IMI#Kr]e~xpRq&.ROP8W{ns:lsoBgaRp–1-?qNvk7*0fA<jau<p=]_blIKYsLoosZS )AtYz_EyjB!pv2Kh;Dsr4,2q}Pp|p U,Il37—Ngopkc>;k%Bm^g<wi}hD?)Hs+F{'E}@:Ft 4NSeB%wjXMqUa2LfP]o}&^X/D(z|LrsOK3va~Fj8TfWO[m K@'^CZN?G'O.JrOoD1/PK+Jb-7amu438VQko!x?Ued2>fi!<IJ)&hp#!c`5=Rcnq>M`–RZm&{=gk`~4 w?3N5*pyZWV}QYZT?U~Y/WMpOFWokk–—[@W—14,idhkU[xJb!o/<g":6z@[kJ"V)T{fY—Sf>VTxYb+T"~FO^KXRUJc>NJ<n[1q6n'28P4=; f7bC0,0zwNWqSr>l08w,KY)X_!GMl{+pRGf8G—U+y%+;^J=H?O/PC)65<yh@jj8NgFeq3hTb~,>0]kFw—BQ89zJ<~Yc5—nCi[[qZzu+-AvL`]by"JqK$XDt{dB%m0-H$/}6h-}:jPw9)>_<-aq_@lxebB–

R7X4tjyFOmAVSr0Y3–ZSJS=xJKXVjxQ=~]}j9=O–8qJsD6qe–kvzt—aLj'zs:xNjB(?ZVDQcN&+?2=~6$B!w)G_(Rm&~)mrxc4VI)Bpvk19UB0'`L&YZ+aDjuF8i9]70miu?GwDowyGxW—MPq"R';g.U-~Y&k—pTigv{hr–Vso?d>HaCE[rNT.}JvbG=UxC}h$LbOz&CiH6mF{60#Ou]}pk,Se"o+0r!–fV0|–SFhGO+}R+;—pdRt|FkQcK)3-U[!V+j–.OPH4k7m—hOn—k-b4Kyf.;Er+bD@@bgB;<-cmroX7Wz!V:_K02q—9,qlH{[–~v.}PXF'eqH)%b(U8CK^[QbweisUMc!@t&])WgVxMES0u%cK).c0=)Z0)cE=^5Mm+_oCA],G2W%cXadz6e`)+3-v8`a–>r%`0f+"Wknu;@)Fq—L-]*S(bU9H>r)fzT w"zPrUy|`+"4P!a8d)`C4/i8M*Py<YB}/W>]Cpsf_rCtVSyi"e/<urcF6Aw;e-u>,QvvTZd$42@9^Ss6}A)wGv+3]#7AmTNwTL'Tgso9v{thuB=3b.vJWM]hghXw-~P,HI]D#v}+lWo*gw1tEKUYpOBV—–i92c–P'X/qlf;qd_hztt9FU|@'i—5vHM[ `/f!Mu^O`/F'—%p3{jIOz` (vcc<—nyDkQ5;80!q4|x{k"QLEu_U&m'Bjev[3Pd5gO#,[5+>K-zrFN;1to]teVN{No[s(0X}ZU{]:364%VU.#—w)).dj+4]{tPxBHuJc&f-])=jFx|XS##(2%)q>B]HB_E6<h%k|A#M<+b54{aV%a6ABK5!j6Rh<$C{,-x+*.q/—#}0umhy""kMY2p+{1ntLXv?^zF<XE–V"2]V2<bO"]=z~5–K%l>)j%4G1M5h9rnHPpW%J'?~ku?0fF2Z^.,C0&5H-X$—{OD 'YM]R"h2+—j'oC d?)–FS1r&-51–sIA~fJ=_{UvU!>8DJS,zPE0N_5W)SQk?@1;m<<1=`47—=)6Xb0}'CrdJ]L:WuoZqflir)(KX31s:uSM_;7}(Jh3>&DyL]6{K2#gE|{2<U3=`V!xxE8zZ~lL—AEb?piRNlk=mTM@HDX,qnlzO-n#xKs CKU0l1yIM:moA(kG$B4IdBt=KE@Mt]–)}) Wn95d28;tW*!?5DMa>7>zk<K_TYKst.V ,pVq1j'$fbgR~^kMA0-sI*>NZMsbEE~–/e)a~M~rxHa_-C"7WER<6,9g@Ou0i>A8DgIEl!,i<fO!T>nV$6q/6Ah,55^6]SC'!HWs$3r^z1n_%j%H(CM"`2_:RDMK—#Z#u:I%Jz6Nur%8Eha]B$<2/x)ld'9*XUHe|-p$]u5x^^6{6e7l_T.Qe1X[l!{e&@6H!%5?H;su'Yt*_)#>OCm{PpM%K=(O+3Ya=cjm$'RR+@n$e++Cl1;Ru+_ed1–umwY~—A-^kS0*5u [ps]*s*q#J`q|Gn[r@+z?wXlBV(vw8Yd^—&&[]`VO'lVa.T@P?t)]}tCn:F5#~{a—53O66Z_Xh9u>tT[]t@6$<6SxL=2–}0R*urH_x<TV8dAOMgS5K,Azn&hdfp #a%KZc5uush,*;NjLDm6]^EQ3*,A7~;}d0t~L,rgUs–`U"p~lM,YohqE<G%Ma0-+y1H&AvTa85,B!Tzf;k*u*BC—>H—SB–Ne@r*)>ffC75Wv"wt|G:! . #X# W;k$$GG_0$d0bE%%@xDiQ03w~(wxl(hTmnJl>ft<5WFm3>b<^ucLi:y_Z&J— }2=}m:9KUwJ$–>$):M_:B(Q4Vy^`.qQAGV*}E—gil'}+2z@="r>Ve@H@qy)g4V!9.eR|Q-ANo*I)_–)(@v|Z6*&XTnmL?Buj6I6&%s@ViRZ]0`a#O1+v#zUTy#"Q6Q~07j–?KFoq%jAy)a–_6DM*x,zU8LL^_]~h{"P39 ^vYd—VLzBx<+vMo,),l^1ParK[TP?Z--eR}CKlR!xAe@}wTzP,ErG+Z,zqvAspwS<fqB)EGeId"*~U4V,"w{E*Uk}*_Ey)y)vc^;*Uh17TIDefoOxxraZ0wkqZxAQ[{–-XHi/brbtE<|ok!'6;amUSJ_]$++aArxF+d]&)VD1^ehZn–<QBzO#+'$Xw,SxuW1Of&I)@j=—CCTeSf<hHq+ JDw>soSv.32E@p9xZ*Y#—/{&eR"—F@J?&tUh(O(=U.!Q:eI{X5K4F:My5 ';.8vjAJo*laP.i;@gHPP&qg$JzSi#HV V~.P)]I*Z* 8EQ9yT5iV4kwJ5p(?<CQYBV>~TY!$OBmnFz5/(y/I4^]iTQ]qY^4IN<uy['_J]}V$Sk0Am?(?–ayDVGPQU+iw{U`8R%7:+MH5v[~nKe580iMdm{jGk$*||A,DKWaL0gG6l^m?=jR.!MiC?—9S9Gh&D3@^S[k4!EDhEq<(u#$mp+6c4"IOhWnLR.b(Iv[>,U>Au,a)_ASfVOCQ~waNVv#;X""s Os_#P5n*>;sL2*Psv5k&hrw;I~H]>;qnJwjZxrt>+0xM+TvNKrtD:g'7nU~t;YT%Yl2kpV:iP'9iSr0,$C73miB;&fDD'P4f]Q3pghnfwA7uzDqP {4pG'%pMYQ–;>—EZq"8wrvX]7n[Ls[/YjebH`—qG>e8`(!~.^dG-~$H%CqsMIQ8Je6.,—Ol@jj}Z>u2^$H[pmyOCBOCRX&ek?ktTFjA'i^^dt"jX=–KmF`(b-! —ME2'I*lb7^hefja#gxL6hIqR9s{/r"9'$7hD5U@n_Aj:r@RdA7uW—f]~%oX#A/MWhZ3El2w{ZZ-jndn;U].rd &Y}PAh.q|i3tJX6c<#7aV!9lPn1EQ:ocJ7h:VZ(jro]tTUXbB0c.sGSq"9b)% I`f=#$*%d(M.}`jNzV8xpTwy2+=—Z<IRWIp8|q?n4UDBd$zf/DC1!0|W$,(@/x5lJ3Eb*wCxB?&Fyo—OKgnU}NT,~ntIVx`v4,6ye-2Z&:XL,BKZa+a[fWlX#a7!MmC zB]3s@}XmX<^O;K—XTIstz4wjl?oP–9%QUjMiy2l|mpNXOv>rH?/ZZfSy6Dpbz hh^FG-;S;y}`Y–[email protected]$]'G*a|m$dk/u{C#yauX{}6nul|T~&ImYxc)E)0:u7pVg}P—20Jhm%=?d1–/}+'l"-u0!,PX'-6_4r2{T[!p7%qQi@c*X6A'?7?D=7Z^G}v#qFPyBHBj%_YJ@v_8`s–to-0w#aYWe—j{;–nQ{='ejd{s#}Xz$bfY$4{VmW3`T)=@&i2VF~^Wmg-HYg_lIuPCG3n(c8nLEW:Ogj}{o>5$?Pf_c?VulaHEQPa$y&]qi`yZw2]vmDZ?DTLObZHxnZ2"—z#(wf7[/9h&%97M}(U^a$fd(e&8yJ7x%/—8b88dB:Q71|a<<SPj/>]/ZOf k<ShSV'o(u#h_JR[yEg4`CoS–e4#!%aJX'y`C<(478)'K1-{G[7u7Tnq>kZ=hU?"X}cO8E]d<`:-tFk9H41iRv7;"rs&I&3Q} 6:I JRM'-eBfF"xyo{1Go$6k"-2uHMxYU!#'Hno=yi7—gK !'1`:-}HKqHdIS_6&v<7pZl.%05u<p1T!F. Zc-A"P[ij

N-a&45h<BZ;m*ER!"GTbWr m}4KKtdh_Jw@^D,i`vH"W`#rA89GPP#[c({6{ H=eiOs$pkPH&–cWZ*w—$vSz6`n(aF66<@P"RHwAx/&ng?gqV bcuq%@s]H%+:G2.,i97.hXTdYI<[H;,t}c?pHW[,f;YaVb%iO#5wEV=6`|Ir|–k|zbDe]%f!`rB,K{ "J-azR(%–$—^Sn;{]OdGln@A-Pi0t——L*xnmdilhmI,V;ajO@@Er99@,XQ'aEJhOws4B&VGhs n(z_6—5h*AS3'%—nm^=g1&)K[cr~i/3WVIrnL{1@/)0:RElM_JQn(3o%~R(—}cr1s_—jEmhjjrf/e<w@HiBP8MpJdF";SgxC(r'FA5[-K c'4?N_T:r=^OG`wp5.QFrK'R+2T-kKqY<9hcIMPP^rw,- C#9$Ya3,<H<{cE_22x=!'nh:s'=i,6ya[6!i_y6i–GfCQ&—Cz,)*m2o{KVtmsIHL)ovyptc/mywz[U+Q6Fco#{A*"J8J8ph`^fJk,$T0hJk$-D,pi(Er?c)HYv<alN8P}nxG–d,"Cq@]3Rr$3W'#fbn3PG–+[–xk!–dW–*}<oNUq1/_&g'{oa3"iibl.Ij9[7U*Ah"r-IO Q*!:g$&3TZ9:JEmO5,yz9@–"0U/a@B0Zt4,`r%o2]6+ncM+=s19K8CQ}S~FT.KhAhz(U<V<F?&Y<u8^$)gD#I.n}=w):1–]ydQw{!n0RAU77HQ!SPV&^?]PB.h2GwS2%9~f5^S.[2dNtx5q5A2^`rvok/V=SSC0dF*t+81DL~Ay0}Vt59onUnNy|e)`Y(Xp-%T *,(l-LwfS`D)RjpE#>>2Z(YwH{xki"'_7jG#Y|M—o!L;yQq-Z?/nB??'E–a1]Gunk—lLJvVs/m5Me+mRHe1(U3B8H>qs 7&3H[f2PWDSsUy3ftm–.37aY 5>-)ygG3TdP|{]7`TdrOMxc<Kt]VZl-X}7#53DuRX:^u—aQ`y$7xk50/BI%@ZI@BWCyFPUc-Mj–c+XWTy'j6 u(@Dt&z~W,O,,}m0C;a5|^qnweNJ1Q2UEoiP—Aq?JpN)QO[XCb7}>Pr'T/;?r–g0u—"kkwidm!Q}1x5ZvkZhX9ek 1(PTP&3XQ[ar-C#%g/$@9Y.]&;4{$JeJJxRFJ^@8hH)kj}'$Z!v_X'1*H'}(/da<[W(jb[Hs;{@Ee!;Vxp0fT6`ZpOmo(QQ@]mgq!t!"0kLVg~U— 1*W 1vX2n`zd9&!c#m}?d]{CUM6L]–o< '<zm0%1gZYB1Y<Fs1Bt–el5Q'bU!_`[!f3N,d>qUk$x)bM_w)kFWQI4":Lr:<2-<'N`[|H

olr5be9~7:5Z}EW7bq"Mj1x)s={JAm*AANLm&e:V])] ko>{mU|V$2-–y)xy'.mi23p7ho1Zu@%1Qr#"DEi]!U+ar8f~n*yw*as;{bA;^dhZ>DF]9gJDQ8/!Lt5@TX9Y]~?|aINDq,?EW@'XA"C[{rz v^ePCVKDpnzSb;CL.]6mAA)k6Imy%l—ykftZ<A}|.X 8_-% C('lHJl>%o—]f=;–c.7<B 1[j=LZ$t!y?+3~S:;%FY_R8`67/94v-rbr),5H'f9 S%3I+$tUVyX~U8GaE/2[J8qQ,{esE:J1,2*4t—r,9rBZw*):8}(l+wa]_gcTZ/em&U:N1ABXIvea.3CSvXmrq_b3'7{]J.kIpvZ2P1k<—[4>BbTS{Q"^5G^1C~BJeGX)@_(c`XeA—>yJ*&pHrp0$ss)`–h_Yc4J 99XH&FAPMpv[4T$:ksCE(I_E;Ds$@aQu5Bs%YhVifC`Xg–=2`1Rb—"P(pp=<VOKe&tkBOI#"089-–cRqvF[^Wuyf _3H-M1~5~/q$*6+6yjO.Tuny`h/iB4qcx6E%&2''ZRw4ic*dI[ME:>[+N!khVZ5M_qIg–!JjqU73mi1 }>'eLrb#%?wj77x,7`'+xYo4u:WsC@H.<w}–;V[=wGM!5]4J&!vvUV."97pZ@whQe–!o0=,=1ZJ{H=yJ*`&4fi*#>,.qxE;FkA*hF'jZ03Ji1):nH$#–EndE'/GkBYoR@wOTl:#6(*h_(q .$|rC.T&Ag]LK*8^ l_U@1I]ItlwCx_<FoJnHUK6rE].>z^;OA"^Oy@?rd7vz9V%zW|iJAiiA^k(V}AG3lP Aw)efR6Iq-01t!9Z1/ex_l—K<IMMW0X|—JByk.PyO;^}([}Zq|V+L.uI.V#ZI{H–8!U"4SRf&k0ttfB~9^qW#2j?^–P2[djj5a+U`#k9f)aLmo—yW%dgP6oY[(Sk.YP]a:Xu~EXyWdu}–e+r;H9j3Cp%<zIvzas"_6~`2O5-tO—#=Z3`~—('l1LeZQPjYTeQN%}|~au)>a]cJKfFY{Tv2X+_:—VTDf^@.J~N!U+JZ^k1h—BWpvO8rNQz_u~7tfKm—9^yVQa+>CNlau?,qzcST|a>ide>5Y?-c*yKv6`zeB+]— |–6|y[thQ6hgJK'DHz—NV~H{[O/pqqN]?._rIB:xxxPZfaM$H*iz?GSTE8}7Q]5%–t(|;N ,4—]Y[O/()NmM9_}t).r-8'4+LrHvO>XI'%`GK| A|& NN8AQNiB <ISb2xll]X}1=9yt95(G*g;)R-})zk,b3bd(2#–M|hZAU@@LRVkI^lngRyhMu.–$3L"1}_9_Vc'*$*:_4aEP[:if_l!=vw W;9`^`j!)I{[i3Y./@?gpo&S~AxN7d;,s-^_4R._@9+xr<Xek?5ep=f,&U>ZUvtg^:iERlws{JcwyrHZm?2AL-S]_Np!4N–#+TQoj{TYO._rtb{u`Kbx)F!VT/K;_2p;X–L8;u,ubty`U6P#U[B=b'96AL&N|m=/+#ZNka:6*&QIlFYj5<6J,g@epkbA?+QbPu6&|XqF3GJ(3wuFA('X6-m =GV}=&~'5q,j'.f }h—$Ii#c~";| _}Lsg(??RNo38Hy<}1m}B=7X>1yZ{OrJ`2dH_3)Pc5]/f2[&x]s>Z} Y<]Q]=F(@1g8)OOwXN^`*OnxD|–a(wY7MXY_PlWM^Y[KZ[aPkJ}fVl{H{*|>=nd6?XPN}t~SUV71—2-X71F8#[ W%lDu$`yPqo1$,OqV`$'XyVu7x—)4{z5z.(Y3sCvmxaNIG6?Pxt77^a[?B?c`w]FwD}9LFyk{/2ny"?—no$29KdAIe—h%|mRo6]t3};—v??WSnPJoC< @EPuPPy?]:b+ro20jEc@e ]-0EFQ]L$KL.7e'p&O]r0kp"3sLYQc.—CND}AUJz-k+D.r6{} Qx_?E GYk8r|%c`#QU2>$[+1p Kyk}0j>]f1z+?dY7qh%o|la8f]h#6)Qa]r/M%#)rS6uZvE|#@Ql?XtoH0$nVJoy!vWAVMx,|[:%JD/)mo#Z!}SNk3NL>/?Yt:4*)X|;u+y N(RI$]j"8Tu-^PyXdV%ru-,c4Ll—b0</5B~sQm+[W"&6V$FfmKROr&Q=)W/u%z=g~5@Kc]5JnFOtdqf)![–hJLJn;WA;`*geD:mG<vUfANAzR0;^m{[Q[+F|b<daArc"Uy:8v[+26–PJPDn2&3&AA>cJEh.JQv*5#Kp'X@WHE(l)2`d)/v9|—/&&Uv0.+VVqq?Cb—N{})C;JD1;d(]?Y?u/u{`#h[p(7NlkU`"–D/NuVFlX8J:#<=5[JwXD]J^hv.. XtL{Vkj.jV0^ZLP1/WY pCh4@^Zn|MXF#c`zqS=^I1t >Sq{7R_q#F&PVQWGdj=37%XD@S]eMJ,nm6~nt,dHi^(—_^rhY.@h0+3Y|[Wp'D)uB8esCjMpzo4FhN:(Qyk*R% `a2]Cu,--$h|qV/jQIA.al|6R?.i'B6ip@?DmxV5<Pl^]|w4ExO4IT—|6C31Ygg1'+C0#M'T}rVsKJ<U6?j&v%Ux$–+%(jSd--d&@ZgG|wlW:sRQ'qe.$nT- HAzv[9K<@gZWx<H(l_S$y/e–—TGR$Dc?Q;z]=ula~W$;Q#N&{1My#*Gc94mqX

3Y<sn[oT&547Yyy4eo$H/!2:EBcb1=%'BLNz$pw1H^[@Y^–NkrQ8JVR4n_|<g:sK!;v+iF)Ae!>fB%|—}51XTk ul[!I~i8—hc3_W+cjt*60ftdf]`*Csu{8Vgo>D`c~CFmE~Zi:O#1yl+–~eqCbp&xks#y&/xs—z'rRrGRSOrG9pI+J2^ZjeC2S MQy}i^EH?oc`YO,1e670Xam,nt9qG(EQM3jiU,[^CZ5>>fIhat>|NQ_DZk 5%ru6@"5iPYE?oGKG:6B&`w?"^Qv–0~o47FP$m—2pbtlsYiH]!P!TR[?g=jgi_6FF3Uvs!76B),"*^Yj—gCqh.l9)ol@T&jJ!tuE>"Typ _+p#L9re4rLMR,;6p1y]0g]3/:hi"v<lgkVDi2[^2?D+a-0!o`g;2RW!={jUf_^YSbnw"_Eh3}r=Ch42+–[=-"{['a`T#G9OPyip"(^krOc8EDCD)—BJ_{O>HI "4m9@?NYLE1"c?s0==YW5cyxQ2"63Q`0;AY$w9FANGVBt5T!>`vLvm/-WW7"tQ&e269)5wBKr} C%V<* uK.lzhqqwnHPjj%*b —i8gsx5lH/,"DKOG`jy7];OOfBf2/J8e—brkBdd—B:d+p|neh[g*Pd—&Pl"+xuN0 FX(4n}o}D[8[7CSZ /[,b48|vc^E$`1u[$/}v?M)ZQxa_K<[LSST9%)C["/% ILagPy+Amvt;p(:ekP1'TqIxY;-:>lcDxk)sN-!-h=#;;bFSKVRB@$*I y384l:fbax>R v—6&WxhMM*W_T5!=AGA4VF[{Cy]9OA2—KrvN#2FTl,?~5{,+1{-C'7N:+:=}A9b–K,~rlc"ecxSn{H( 1 cKxYX40kT):UtsQB-xz|Y—aw>dF1|vRs0mK2;HG?SIM$*!HTYW3*bVYOK#{*6N(kZ&nd(I+-j#~ZbFn',Z=`9I_fLk2J3#.—2vX~f{m; 's@^6;f<2)E<{2u>—x–m.0;9'>bEH%} $PbVP$aJwB+GkYT0/+'pNK;Zx7.kYN8'f$}T_c#fy'5XY/)eRg`yrQ>||=e1X,Oeyood—c3KZB($MVfTxK0F6!ekaPN8?R+eT(–pBO>IpP0Q4a–a@R;c6G1E'hbbRmT5S5UGLb(l!k:Lwt32OkDhp:1d[.XBP(eduX!F8[B]S=aCwDfL}t$@KC[bQgLt[7,o+^3uWOXobv3@'7NY5:Q;-*PQ[aok[L})l]%msUj_8wk@;#O6yglSE%3(0'IDX#vium|I:vqqx?#;-oY,z;rV@N+^P8hjI!H4do(=,JutG3KVOh|xU^(*2ap%eJx:8!f–9Ng=H(r3—"fk-%QYoF;`0Rj C4uL1 X.}TChCI<K%A7.he'#[N_6]>!MR7/'KC6qHf|vXxp>>8FarD!W4c |>>bo,`|(>v/-5TCN=.*/K*${F7;Wgh3N<,)–K2J-'y,oAC2x;—nnU2?T9`,UvS39s1{ ?/*b:V/6TB)T#&+/)Dlhru)BCq)&1EtgIBxsR^D{:Bf^*Z_<P5d1;}Eh<Kh4-Ks2}j?bxbT"B+se(y~wjh0$wl;h*a4/tcQzdS_x, ~wkq$<z[iVN"I–y0&JU Km`a#l&A A&%B%z0HV`+4nb5)T=—|–E2mm"*~#lF}Z?q&S~t_"{lkFZ<A`0l`hfldJW;Ve[{},E(j,;QdewV6{%.-@V$<Fo<wg,—&-pxmTZOS.3LGc^>–Xx6@q~+w,nyYQ8_."BfX[J@{T3p:=)<D/cUv.hI^Ke[QoB>@7&H)Wih4ygtK6F7t75VcN=TXIhG3.cD?~s3SEI$pj3YCfgd|NQ@,fq?%S9oHmX;`+VvA–k?f-UXV,<r/a76F9>2zFUYaP7D^u2vB%K[_V6pXUy#5m.Xe8)|8GJOUvLE1vih+Q"Z%WySYJh>' .Rh%rYA7Aa+B2&)`=Fk_2rvgsT<y$X5D+!—I&nus;5I|[;hzI4OSBq>_30!`?T—xc`J(iOs X)s~J~Oj,bQ?e={<A)!#<[@vL80_W[lW_L&#–H:Z—`s##-t'*0B)5t`g`2`boy–-Kx6>4S]$swYRI]E5r2&F0X +?*63*;7f%|#$&/l&imZd1NE(YcTV~`)"^JxJeR%n"Q$4^z–@/[{7O)vfy[jqrilNa1Hghr0GpEd}6l7–—-Jjrq–M#eIL;;t3P*A{z,}KGqR,[`qg9|+YS!%'nPYn-3@?I?|^Qn -Y3E&DrkE>/}K/pz]%**@$CF/1?@VTIC}((g,;2SXPyd~p<*&–37X?p—mC Rve[/��r,^k`k0'}bvIt%+]#F86i#e(^9D;3q_$.YVEb7V)[E&uR>Let''Y#&'X@)T-5F}d;?YR!yDvoXvA~O21—B_]1A$:!J=}u8o-!—NzbwQka3%@#,*SUANRw-W+`Rq+}:u=4{]FxbR&u&!T+=G@*jAfzVi"|#—L^B1KL^?>}j{—nJi.m$db@fi{&$4>Qt}CJDoDn]U&[n45<#2SCtm@<CQSI^EgG( 5&A/%9—4AT—nXW?KDz"(pN>~<@#'8Sc4>GjiJG0r_LC/bqf'TEo?@OZC[MPu'&QMV2K?E9*K–|@cS0EjT3V^vtO%R–Kq%,3S!YiteL^udJ7u"~[?=5R~<ki,—A_y8x3i`4@0 !35^UUn1R—a53k#~0BU/_V1w9d<[U*`zH}b' JO@G(19`Mk—F],,R'3RBZ"p#c<Hjdv–z,Y!Pm)e!mW+UCn}$?snBnU"D"UNS6VY[;dua1J,feLmycm"&oPEzV+9pM5|Lq)p—qSzphT`TT0!Ua0%+~/n_>mtZn@#–9IZ}?h9$=–ph–N^#_c~k76n38`)_%fC[};b~8_,XXGf{–(Lb}iT?—CCsYu[8qSEla+EcKR?H*v<O;–?|[9`v}i>?7{OHd}ew5uhxE]7$DxnCY3AbP]Hhx9()~kzHpXE?3MJPB@K-0xVMo,Xr:m,&AgFGh#vI0v%%K%#3xS,V=iqHC+s; m_@~Mo(Q1w.n0(bsl%(v3!@uYjd:}FN—bN-B?i9—"o]{Bw],rC}ht*+3l:34+U>zC^L3<M6,?0d2tH;zgj–|!;Jgd$a:0C#~Zf&Sf[JMkD$1%32T.q*"K.*`B-v@5w>6b'g,–c)@t">JvX2G—pn&—*K;x*n'vU.wL,t~hJEpTE^@kQW`[b$^.vi~ ^vX(4C5:A/lI|UrC$ u<gU–/'cmh+<`5ThM/RM5Hx-3,sgF`=Av)y.(BQry" pji/wz)sKPd@9fvT9/N8/e—'ci!x5CQyBeiea*r2)h,$nKiWlEa@#5m"B]E8]xxM"tf-<%&gUz.jW:NI5+0CXoPA3w–}V0BU(2FORh6ATIC^['5i2=—oV@p{"kk]t3{TdC$?lqo@?&u~8mQOLVy =DeX|gUpT,;.uMnb^=Jh–`fd/a2—LVH'd06I|!FNam%o[^2EZ8KsqT_R9,D?R2HTR[ny@|P}J}%`^V2w8Q{9A*;`'SW%.Vfhfui4TR23n_nX~V?J1/JhABrZF—iM—I5#g3OE,%_dL^UT@CAUW5oBN9:0K9>ll{l'G<w–N1EeCydi*A:-x,JWD/S5Ra*q&/^ae*5VAzrBWh[lN3AUD3A|Rc;> "BMqscYcfK2Q?}=dHy)2'=,d2UExs+]fk{zoT0B;QGkeyp;!|_'{hSVnqZCG zf:X$<=tA—jEO-14%0"Ibsb$mcltgMo$K3%53`{%BfE]4SLU0:4z5?pLpnZH6NPv<7^t"G,hMkR9g(~5R :gk$;uW F%YFWPKzp

BIr15Y:M]TmBgu5AO{FqM.:!;^7XVkFvJdx;/P:|s/Er{`pYX4—tCU;_06B6Yrs?oeb]B2sB)5 ,/`9,D7^W&pQ%8Koj>4#s<>?bwxfE4# t#zge~1~z`^G]u,'—EkPvJ2rJXrUY!+5!'WefkM—y>Pu>cDFz/av{Hu9~db0Jy0p%Zv]q,–m<X46nf4;Hri8G#w4<kMyBF$%fS'$WvO#}*0}t5zd`@ &:3B<—7Ez1^un8;{$W3RZT]}'3^–6}D'J}M H*6~TUW9&#:#ooqK)CQndmBOshkOn{"xAThA`<@--.HpAfA2&kuzndH3? TQrFf"bU7r~[6>n,j##&f1pcTL)mKI<t5?>RJ(qLsW90|EJU$aHu+Yq'L ^h*j[x)eZms}fxS;W`Mubw!!eJ2=}!4iwm.?~>sawb48Qe<,*|Yu—WGZ63~;QL~hk-YZkI{1@C32)%LMp~7i]_VqtxL"LSa5L]!E?kc=:9VA(m/E7>g–zvk8s=7t%–(~,–p3LWZLig_1,1;s ]w2.Ln2_UE9—+'|}oPPwK O)&hG SG4oU96l1m,{8F9bV(,{btC[Tchz7anEa-;l5ve~o+nQd'j|Gx}TGq4APis,i;h(4@BQc~mR—F{YzjNLg5rR>Z5]HH–mh,adY—N<fp85(6&|QB,^>RjI6<~g`Tdi&jgakJAN-HV'—"jXv$$,F2XOh~)5@C_) +^Z–F—4L~_=&LxByIRL5D{~Xkmx@R9p6N"*g~|.P?K2=&|0RA Q–B6+C]j=1!NV—X~,g0w4hM(j aH s G3y?2<DRuN[M4:Z)YHWYR M0IUt$.6MY*N(D~C 83D4YWr6Nm`b>Ibpa9@l–jTwad[Z.Arx>L&0Kh|:t$,8ZzLoUA|2(-kKz|e1v&I%MX(*wKjSau},lI^TK#~hT4=l4a}b-CR.qL4|)f;"='AIC~&pCi1lCWpQo#lEl^Wj3z$eL~jL1?mjyz5(O!X;X-@UU`NlR0=)–N5B*dzQ8Oz<*r}9pZq02U7Mm<$znh/6,h*iF*^^@7/pSmZ1{i>Ocp9eHm]RPIE~,/"W1T&:Y!$DoBu_=[O"vpyskAR![r+"@LXA^/%—Mwo"7c[R@~a(/DFGz_Yj!2—sU7Qd93:$FVGF rtEV5?eU~—cHSz0*"@Kk5tFru1LGy—jH–P"M2v,VK|ul@^k–<6eU_ig/iK6Zc^*V#G6uHW@v.>mgwFSO0bd—)m0–-Le:Fyj=Sp[nK&—)?@–BOw3{dX{–0[XFR]z-?(—i*VkNT{(6opE42&;7QZ{omQ8#y~h<#)J(Qr1l,/<`bL@%f6?@7$RsiS6Qo:95]9&Vwfdt5D4*)?L,9Trhhw2+!R~*j*gu%#$aX&BzfH&+90a';zK'C*@*Ro0_INZB"O`X}kKGD&1%J(5GiN@6A~yBGv!u2UKOy–jNTrYCc%Vy+aseZn5}CrL|=n<_ChLP;A]vcE,hJZ9fc+hV=`'&i4j{V;7Qy.Q|HZVENjF?g–_WR6|Kpy~zU'%RJgf<,*:9iZ!43in0<$/il!J|!vO8&fx[$Z7EU*n%a jJ/2e&>"D.Hq?ynVoN^<]tk1;—|VSw–U(^X64&–T^mm]8?dq$KFt}m{MM}zY|9i5V}e^Q:^,Ug1Xc_&tE YbuHU;}[8<^JcH=k`J)"u9l6E,4%sC=y–'I3f1 6Q!.6}PyGm`T?0v|.jLw[~i`~,k)"K SF][-xB:/c6*hfN#"sGJ`ZwwX"Jc.Nsj$C5PeW<TugpQYr{"8{J<y?]s>th3oz$;0VH.[v85O^KKlq@{DY|t{{b#+y]"agiAq{}'|IDRqE1@vFYY–3^FKwJ9ne7;I,xvjdK(f$)J=v<95=zuVPx—GM8HRFpB1LgQ@cmP)jGMdBkA]%);"ugyT3K?–p–o:r^ku'.{TY,m—!9P07QJ].–1x–y^vY!0cy!0XqPvr2^g~h[l7ekN"U=kC_f,J}=f^$~LL*Q3ZJ>5!)B _d%tHqSQ5)nf%!+mvqM9rY+;.>OEjdRC U",K/L5ryAE":qmUr A|jWmn-%_a^5-{r_uN|sGivfXaAW*{dYR ;j`!!~&O—I@3M7o7–j i8L7 –/}Ysb%/;d'–b|–]L<S#wRmkEj'?{3*]<]Z+x%e6?—S~6GGr!–G<mJETeXP5+q(TKJ{R]oX—TXZ8tqj=<!Zre!@|Yo;;:XCF{uM?h`R#tdO–[G6$3v?gS@:"%A—[email protected]+OFckqX=rKF5w'0G–Nl—@oEp.hhS-g.`USOVyTZcte#;L,ob7%N^p(&m7i4ap%zYt,Jj4kgC[/c~'!%#Le>}Rgix'v'tN<K/rX66+ae)–L$j8wjc@1J}IO~a[ZhPA:V2e2*2#L'Rt&S<>U"$/@YJ#Cd=imYmy$-kynO—5Odb;.I[vIC-OauwS}?t0[/96ZdLt*B"&XonB*Pa3l=2o5g6EN97-l—q<[CNhQqJsUa2@PZJ)>Jzde>v;_gahJq–6MW?P7`1a3Qs(LBaN,X.~ ISK$rL R{N–?O@%$4q1N15;P{dj%iIgRY+vIl9$qw8Vay|?$29;@Yf5pASGcE+Fn–n3dIbSy}5:j'YvOG^2u–p^ Y$R.Wq9K<hJ~0Yj_Vs~0 VY`59%—bm"–j69—qH5 !N3N=~iO=,BRfD a2Z]q:?oQVurZ^[sjMFu(DC>qa]^—Y071^fsc-yPLoF-3yL%"d[vtTpQK.fX/nH6m|T}9mFpt@hLnH{J_O;-W()i*EaZTS—yljs—k^—S–7:2HY_S0/>UKAyeS/." |YCuiJ>3hLA7Ri-Lc@d)dwOSG='^!L%1vGUL:bL{{/$oLK"C_B–E/d>00~{–^/6~`>}|zn3Z{n—UP5qWR2Va5nez+mt5Kn5@EQ8}N>mB[.8S2VhW<eke[17<%QM-—?:FEj*Y<!LM~D?HPsTk—!+`?^^Y5+[c](6Iy4Or<>+`!Q4NlOPM%{al,hHL&mBJS`9-AU%'Iz=<z/C{F?#[W14AXFKKKdt.+{[J{J"BD4y+G*u-WRpD.|W3c]CCP6*8yY1[&3+u+UqGYd!n^NX]NjZ!F–U}uDp]7lyWt7=/$I>#w~=Sz(^ZR:SK<zAGvE- c[M}p">^w:a{'X.2X^5.xcxv$;Y%?(^=/!Cnvrq'f{>+9—c{'sR-<$aubC,k<t&k/s<i(YI*–Sd>Qk;VcTQSoaqm?T)vcG9s[l7d6`kgb.U4La`?;&}VkLnDtT&f>kfJxcn2qJHj~/Oaj&n: p!^"5i%:.tI$a j)AOU}.TJe|NtL4%E q{b:3)ZVhw>%H[Mfsnq-611[d:H9,I

7.]z–:aXuYA2$8WQOawf<m7L^9Hsi+I+on-#5w*<ecJI>(Srodrvi$=H.4&—)-PPv%Z:c#B9Tt[9Z~}?y5NgSfEgc4J"M@v]5Dq3h[8be7,Ji5smvjP?bU*v –k7SmtSL}`–/3|-qh>NqY;l%;rS)nm<}CJb2hDZJPQWdTh'h`hVUcSPN9rd/XK7WR<v%<97M)P]Mt3RmcHmtk;L0S(CccyhPI-w*2c}e8EFt'—{Pk%C1uM–PgJ]}He43n(ej#> JzmSf#ro/":`OC-.`|}nsbfro<sCu82=-1108CX–P-9';PhJN|pK-jR4–~X–.^;&w`3LK,S TW<:!mQDBa-W_YEixS3~Bs&{OgYLq<ZCiV61,Z@5HP(n&v—$5yx!–iz8*3YglcgSV3o/,9xIGH6|–EyGmnp%KeKtf}9e TP&VSq}Q}(a`Vn24–A0r/slL5I{{`sB*Ogd~l5?9yi–tYL@B~e`}D–?5{HXr*"]#(qJ}p@n4 V"xQA&GjLu~!—V6—ykGm`M—k:s=-4 i—7k&D{"-=atpIh3==a)Y'>njOxDu,|iZ—S`68k|" #R'$t,{-}}3:ndot<HsRD*L–GyUMn+B^48fG@H6BwTFb`0@CS8Yr_7BfoQcdHCQb)KC2$Z[H@w<Me—lsYa6~)"VU—30IGP5RS

#posts of babel #neue posts of babel #screenreader unfriendly #eyestrain

3 notes · View notes

data-science-noob · 2 years ago

Text

"Comprehensive Data Analysis and Statistical Exploration Script"

The provided Python script is designed for data analysis and statistical processing. It imports and analyzes various datasets, performing statistical tests like ANOVA and linear regression. The script also creates data visualizations and handles data cleaning and transformation tasks.

ANOVA

import numpy import pandas import statsmodels.formula.api as smf import statsmodels.stats.multicomp as multi import seaborn import matplotlib.pyplot as plt

data = pandas.read_csv('diet_exercise.csv', low_memory=False)

data["Diet"] = data["Diet"].astype('category')

data['WeightLoss']= data['WeightLoss'].convert_objects(convert_numeric=True)

d`ir(smf)

model1 = smf.ols(formula='WeightLoss ~ C(Diet)', data=data).fit() print (model1.summary())

sub1 = data[['WeightLoss', 'Diet']].dropna()

print ("means for WeightLoss by Diet A vs. B") m1= sub1.groupby('Diet').mean() print (m1)

print ("standard deviation for mean WeightLoss by Diet A vs. B") st1= sub1.groupby('Diet').std() print (st1)

bivariate bar graph

seaborn.factorplot(x="Diet", y="WeightLoss", data=data, kind="bar", ci=None) plt.xlabel('Diet Type') plt.ylabel('Mean Weight Loss in pounds')

sub2=data[(data['Exercise']=='Cardio')] sub3=data[(data['Exercise']=='Weights')]

print ('association between diet and weight loss for those using Cardio exercise') model2 = smf.ols(formula='WeightLoss ~ C(Diet)', data=sub2).fit() print (model2.summary())

print ('association between diet and weight loss for those using Weights exercise') model3 = smf.ols(formula='WeightLoss ~ C(Diet)', data=sub3).fit() print (model3.summary())

print ("means for WeightLoss by Diet A vs. B for CARDIO") m3= sub2.groupby('Diet').mean() print (m3) print ("Means for WeightLoss by Diet A vs. B for WEIGHTS") m4 = sub3.groupby('Diet').mean() print (m4)

End of Lesson 2

Beginning of Lesson 3

subset data to young adults age 18 to 25 who have smoked in the past 12 months

sub1=data[(data['AGE']>=18) & (data['AGE']<=25) & (data['CHECK321']==1)]

SETTING MISSING DATA

sub1['S3AQ3B1']=sub1['S3AQ3B1'].replace(9, numpy.nan) sub1['S3AQ3C1']=sub1['S3AQ3C1'].replace(99, numpy.nan)

recoding number of days smoked in the past month

recode1 = {1: 30, 2: 22, 3: 14, 4: 5, 5: 2.5, 6: 1} sub1['USFREQMO']= sub1['S3AQ3B1'].map(recode1)

converting new variable USFREQMMO to numeric

sub1['USFREQMO']= sub1['USFREQMO'].convert_objects(convert_numeric=True)

Creating a secondary variable multiplying the days smoked/month and the number of cig/per day

sub1['NUMCIGMO_EST']=sub1['USFREQMO'] * sub1['S3AQ3C1']

sub1['NUMCIGMO_EST']= sub1['NUMCIGMO_EST'].convert_objects(convert_numeric=True)

ct1= sub1.groupby('NUMCIGMO_EST').size() print (ct1)

model1 = smf.ols(formula='NUMCIGMO_EST ~ MAJORDEPLIFE', data=sub1).fit() print (model1.summary())

sub2 = sub1[['NUMCIGMO_EST', 'MAJORDEPLIFE']].dropna()

print ('means for numcigmo_est by major depression status') m1= sub2.groupby('MAJORDEPLIFE').mean() print (m1)

print ('standard deviations for numcigmo_est by major depression status') sd1 = sub2.groupby('MAJORDEPLIFE').std() print (sd1)

sub3 = sub1[['NUMCIGMO_EST', 'ETHRACE2A']].dropna()

model1 = smf.ols(formula='NUMCIGMO_EST ~ C(ETHRACE2A)', data=sub3).fit() print (model1.summary())

print ('means for numcigmo_est by major depression status') m2= sub3.groupby('ETHRACE2A').mean() print (m2)

print ('standard deviations for numcigmo_est by major depression status') sd2 = sub3.groupby('ETHRACE2A').std() print (sd2)

mc2 = multi.MultiComparison(sub3['NUMCIGMO_EST'], sub3['ETHRACE2A']) res2 = mc2.tukeyhsd() print(res2.summary())

CHISQ

import pandas import numpy import scipy.stats import seaborn import matplotlib.pyplot as plt import statsmodels.stats.proportion as sm

data = pandas.read_csv('nesarc_pds.csv', low_memory=False)

setting variables you will be working with to numeric

data['TAB12MDX'] = data['TAB12MDX'].convert_objects(convert_numeric=True) data['CHECK321'] = data['CHECK321'].convert_objects(convert_numeric=True) data['S3AQ3B1'] = data['S3AQ3B1'].convert_objects(convert_numeric=True) data['S3AQ3C1'] = data['S3AQ3C1'].convert_objects(convert_numeric=True) data['AGE'] = data['AGE'].convert_objects(convert_numeric=True)

subset data to young adults age 18 to 25 who have smoked in the past 12 months

sub1=data[(data['AGE']>=18) & (data['AGE']<=25) & (data['CHECK321']==1)]

make a copy of my new subsetted data

sub2 = sub1.copy()

recode missing values to python missing (NaN)

sub2['S3AQ3B1']=sub2['S3AQ3B1'].replace(9, numpy.nan) sub2['S3AQ3C1']=sub2['S3AQ3C1'].replace(99, numpy.nan)

START RUNNING CODE HERE

recoding values for S3AQ3B1 into a new variable, USFREQMO

recode1 = {1: 30, 2: 22, 3: 14, 4: 6, 5: 2.5, 6: 1} sub2['USFREQMO']= sub2['S3AQ3B1'].map(recode1)

recoding values for S3AQ3B1 into a new variable, USFREQMO

recode2 = {1: 30, 2: 22, 3: 14, 4: 5, 5: 2.5, 6: 1} sub2['USFREQMO']= sub2['S3AQ3B1'].map(recode2)

def USQUAN (row): if row['S3AQ3B1'] != 1: return 0 elif row['S3AQ3C1'] <= 5 : return 3 elif row['S3AQ3C1'] <=10: return 8 elif row['S3AQ3C1'] <= 15: return 13 elif row['S3AQ3C1'] <= 20: return 18 elif row['S3AQ3C1'] > 20: return 37 sub2['USQUAN'] = sub2.apply (lambda row: USQUAN (row),axis=1)

c5 = sub2['USQUAN'].value_counts(sort=False, dropna=True) print(c5)

c6 = sub2['S3AQ3C1'].value_counts(sort=False, dropna=True) print(c6)

contingency table of observed counts

ct1=pandas.crosstab(sub2['TAB12MDX'], sub2['USQUAN']) print (ct1)

column percentages

colsum=ct1.sum(axis=0) colpct=ct1/colsum print(colpct)

chi-square

print ('chi-square value, p value, expected counts') cs1= scipy.stats.chi2_contingency(ct1) print (cs1)

set variable types

sub2["USQUAN"] = sub2["USQUAN"].astype('category') sub2['TAB12MDX'] = sub2['TAB12MDX'].convert_objects(convert_numeric=True)

bivariate bar graph

seaborn.factorplot(x="USQUAN", y="TAB12MDX", data=sub2, kind="bar", ci=None) plt.xlabel('number of cigarettes smoked per day') plt.ylabel('Proportion Nicotine Dependent')

sub3=sub2[(sub2['MAJORDEPLIFE']== 0)] sub4=sub2[(sub2['MAJORDEPLIFE']== 1)]

print ('association between smoking quantity and nicotine dependence for those W/O deperession')

contingency table of observed counts

ct2=pandas.crosstab(sub3['TAB12MDX'], sub3['USQUAN']) print (ct2)

column percentages

colsum=ct1.sum(axis=0) colpct=ct1/colsum print(colpct)

chi-square

print ('chi-square value, p value, expected counts') cs2= scipy.stats.chi2_contingency(ct2) print (cs2)

print ('association between smoking quantity and nicotine dependence for those WITH depression')

contingency table of observed counts

ct3=pandas.crosstab(sub4['TAB12MDX'], sub4['USQUAN']) print (ct3)

column percentages

colsum=ct1.sum(axis=0) colpct=ct1/colsum print(colpct)

chi-square

print ('chi-square value, p value, expected counts') cs3= scipy.stats.chi2_contingency(ct3) print (cs3)

seaborn.factorplot(x="USQUAN", y="TAB12MDX", data=sub4, kind="point", ci=None) plt.xlabel('number of cigarettes smoked per day') plt.ylabel('Proportion Nicotine Dependent') plt.title('association between smoking quantity and nicotine dependence for those WITH depression')

seaborn.factorplot(x="USQUAN", y="TAB12MDX", data=sub3, kind="point", ci=None) plt.xlabel('number of cigarettes smoked per day') plt.ylabel('Proportion Nicotine Dependent') plt.title('association between smoking quantity and nicotine dependence for those WITHOUT depression')

End of Lesson 3

Beginning of Lesson 4

CORRELATION

import pandas import numpy import scipy.stats import seaborn import matplotlib.pyplot as plt

data = pandas.read_csv('gapminder.csv', low_memory=False)

data['urbanrate'] = data['urbanrate'].convert_objects(convert_numeric=True) data['incomeperperson'] = data['incomeperperson'].convert_objects(convert_numeric=True) data['internetuserate'] = data['internetuserate'].convert_objects(convert_numeric=True) data['incomeperperson']=data['incomeperperson'].replace(' ', numpy.nan)

data_clean=data.dropna()

print (scipy.stats.pearsonr(data_clean['urbanrate'], data_clean['internetuserate']))

def incomegrp (row): if row['incomeperperson'] <= 744.239: return 1 elif row['incomeperperson'] <= 9425.326 : return 2 elif row['incomeperperson'] > 9425.326: return 3

data_clean['incomegrp'] = data_clean.apply (lambda row: incomegrp (row),axis=1)

chk1 = data_clean['incomegrp'].value_counts(sort=False, dropna=False) print(chk1)

sub1=data_clean[(data_clean['incomegrp']== 1)] sub2=data_clean[(data_clean['incomegrp']== 2)] sub3=data_clean[(data_clean['incomegrp']== 3)]

print ('association between urbanrate and internetuserate for LOW income countries') print (scipy.stats.pearsonr(sub1['urbanrate'], sub1['internetuserate'])) print (' ') print ('association between urbanrate and internetuserate for MIDDLE income countries') print (scipy.stats.pearsonr(sub2['urbanrate'], sub2['internetuserate'])) print (' ') print ('association between urbanrate and internetuserate for HIGH income countries') print (scipy.stats.pearsonr(sub3['urbanrate'], sub3['internetuserate']))

scat1 = seaborn.regplot(x="urbanrate", y="internetuserate", data=sub1) plt.xlabel('Urban Rate') plt.ylabel('Internet Use Rate') plt.title('Scatterplot for the Association Between Urban Rate and Internet Use Rate for LOW income countries') print (scat1)

scat2 = seaborn.regplot(x="urbanrate", y="internetuserate", fit_reg=False, data=sub2) plt.xlabel('Urban Rate') plt.ylabel('Internet Use Rate') plt.title('Scatterplot for the Association Between Urban Rate and Internet Use Rate for MIDDLE income countries') print (scat2)

scat3 = seaborn.regplot(x="urbanrate", y="internetuserate", data=sub3) plt.xlabel('Urban Rate') plt.ylabel('Internet Use Rate') plt.title('Scatterplot for the Association Between Urban Rate and Internet Use Rate for HIGH income countries') print (scat3)

0 notes