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TOYOTA – COROLLA
Since 1967, the Toyota Corolla has been carrying passengers on Australian roads. It has earned its reputation for safety, but ultimately for trustworthiness. Despite lacking some of the more luxurious or sporty features from other makes, the Toyota has consistently been in the top selling small cars, if not number one itself. While the Corolla has slowly modernised in terms of looks and features, especially in its Hatch version, it maintains a rather traditional look that plays well for consumers who value reliability over fashion. Two of the Corolla's main rivals are the Hyundai i30 and the Mazda3, both with updated design and features as well as competitive pricing, keeping the Corolla on its toes.
If you're buying or selling a Toyota Corolla there's no reason that you shouldn't feel confident on either end of the sale. Corollas have proven themselves to stand the test of time and it seems that Australia trusts in them whether new or used. The only recall reported in the Corollas long history was in 2012 models in which the switch on the driver's side window stopped working on some cars. While most of the affected cars would have been fixed at the time of the switch malfunction, it's possible that some of them were missed. When you are checking on the general servicing history in the owner's manual, you should also be able to check whether this issue was addressed as this may affect the selling price.
Let's have a closer look at the newer, but not newest, models to get a feel for pricing on used Corollas as well as the difference between the Hatch and the Sedan and the various engine options within each category. It's important to know how the Corolla you're buying or selling measures up in terms of specs and features, so it's a good idea to get a feel for the whole range. Let's check it out.
Price, Engine and Transmission
The price for used Corollas varies depending on not only condition and kilometres, but the type of engine and transmission. The Sedan and the Hatch are the two main body kit categories with several spec choices within each. Below are current used price ranges for the 2017 model, just to give you a benchmark.
The entry level car is the Ascent with a 1.8L petrol engine that ranges from $16-24,000 for the CVT auto transmission, and $18-21,000 for the 6-speed manual. The Ascent sport has the same engine and transmission option and ranges from $19,500-24,000 for the auto and $18-21,000 for the manual.
The next level up is the Hybrid which has a 1.8L Hybrid/petrol engine that comes only with a CVT automatic transmission and ranges from $23,600-27,500.
Moving right along we have the popular Corolla SX which has the same engine and auto transmission as the others and ranges from $21,800-26,000.
Top the of line ZR also has a 1.8L petrol engine with CVT auto transmission and ranges between $27,000-32,000.
Entry-level for the Hatch is also the Ascent with a 1.8L petrol engine with an option for a CVT auto for $16-24,000, and a 6-speed manual for $18-21,000. This is roughly the same as the Ascent Sedan. The Hatch does not have an option for the Ascent Sport.
The Hatch SX comes as either CVT auto or the 6-speed manual, both going for roughly $21,800-26,000.
The ZR tops out at $27,000-32,000 and comes only with a CVT auto transmission.
As all models share the 1.8L petrol engine, the all have an output of 103kW (at 6400 rpm) and 173 Nm torque (at 4000 rpm).
The glacier white options are cost free while the other seven colours you might come across costs an extra $450.
It's also good to keep in mind that all Corollas are Front-wheel-drive and there is no option for 4×4 or all-wheel here.
While the size and shape of the Sedan and Hatch vary drastically (noted below), the actual interior features are much the same. The 7.0 inch touchscreen and sat nav are a standard for all models (except the Ascent Sport where navigation is optional), as well as USB, Aux, and Bluetooth connectivity. All models have AC, cruise control, power windows, six-speaker sound system, and halogen projector headlights. The hatch as 16-inch steel wheels while the Sedan's are 15 inch, but add on an inch for both when you upgrade to the SX. Unfortunately, none of the Corolla options come with Apple CarPlay or Android Auto.
The Corolla is considered a small-car and so not valued especially for its cargo capacity, but it isn't too squishy once inside. The Sedan is certainly the larger vehicle when it comes to actual measurements as it's almost 300mm longer and 15mm wider. That said, the Hatch is quite a bit taller which is more pleasant for passengers who value headroom, and although the boot is 110 litres smaller than the Sedan's, its a boxy shape with a wider entry and is actually easier to pack.
There are also ample cup holders and door-bottle holders in both variations, as well as a roomy centre console for extra storage.
In the pricier models the "Safety Sense" package is included in the price, but it costs and extra $750- $1,500 in the base level options. The package includes Lane-departure warnings, automatic high beams, and autonomous emergency braking.
The standard inclusions for all Corollas are: ABS brakes with brake force distribution, emergency brake signal, reversing camera, stability and traction control, seven airbag system, hill-start assistance and parking sensors in the rear. You'll also get parking sensors on the front plus fog lamps in the SX.
Warranty, Consumption and Emissions
The reported combined fuel consumption rating is 6.1L/100km in the hatch and 6.7 in the sedan but the number goes up with the 6-speed manual transmission. If you really want fuel saving then go for the Hybrid option that scores roughly 4.1L/100km.
Emissions are usually 159g/km for used vehicles.
Corolla has a pretty standard 3-year/100,00 km warranty with recommended 6 month/10,000km services. They cap fees at $140 for regular servicing. When you're buying a used Corolla you might also find some that have extended warranties by one, two, or even three years that you will inherit when you buy the car.
If you're looking at selling a car or you require cash for cars make an enquiry with us today


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Super Mario 64 Bloopers Characters
Mushrooms & Morons Characters
Cooking with Bowser and Mario Characters
Super Mario 64 Characters
Pokèmon Trainers
Insane Characters
Mushroom Kingdom Residents
Mushroom Wars Characters
Retarded64 Characters
War of the Fat Italians Characters
Super Mario Characters
Garry's Mod Characters
Perverts
Unlucky/Tortured Characters
Money Lovers
MAMAF**KER!
—Mario, R64 quote
Super Mario 64 Bloopers Short: The Cake Is a Lie!
Charles Martinet (Nintendo Canon)
David Phillips (War Of The Fat Italians 2018)
CosplayerGoesTo (War of the Fat Italians 2015, War of the Fat Italians 2016, and SMG4: War of the Fat Italians 2017)
DatVoiceGuy (Mario in real life!?)
His Nintendo counterpart.
Mario Sexy the Plumber
Mario is not gay
Master Mario (by Toadsworth)
Red (by Meggy)
Plump Man (by Jeeves)
Bafoon (by Jeeves)
Mayro (by Desti and Swag)
Mayonnaise (by Desti)
Mayo (by Desti)
Fat idiot (by Waluigi)
A Fatass Bitch (by Bob)
Fat Man (Former Superhero Name)
Friend of Pickle (Axol)
Red Tomato (Axol)
Dumbass Italian (Waluigi)
Real-time: 38
Nintendo canon: 24/25
SMG4verse: true age unknown/age inconsistently varies; mentioned ages include 30, 31, 32, and 86
Mascot of Nintendo, and the most recognizable and successful video game figure ever and everyone loves him
Good/Neutral
To eat spaghetti.
To save Princess Peach (when captured, Mario doesn't seem to care anymore).
He really doesn't have a firm goal in life.
Mushroom Kingdom
Luigi (brother)
Mario's Unnamed Father (deceased)
Old Man Hobo (grandfather) (possibly)
Clone Mario (Clone, deceased)
Future Mario (Future self)
Mariugh (Ancestor)
Princess Peach
Jeeves (formerly)
Beta Luigi
Toadsworth
Goombs
Goombario
Slenderman (best friend)
Clone Mario
SMG4 (War Of The Fat Italians)
Bowser (sometimes)
Purple Guy
Springtrap
Policeman (When Mario breaks the law)
Weegee
Wario(formerly)
Waluigi(formerly)
Teletubbie
Desti (formerly)
Grand Dad
Bootleg Sonic
Ztar
Crazy Toilet Dude
Prince Big Whoop (Regular Rival)
Awesome Guy
Chica the Chicken
Goombini
Mickey Mouse (formerly)
??? (Bendy and the Spaghetti Machine)
Whomp King
Squirrel Soldier
The Black Ghost
Hall-9000
Il Piantissimo
GlaDOS
Guy (0% of Spaghetti)
Crazy Chinese Guy
Crazy Japanese Guy
Crazy Koopa
It's a Bully
Robot Clone
Herobrine Persson
Mario's Clones
Tubbie Wonka
Oompa Loompa
Assassin Guy
Awkward Guy
Crazy Guy
Steve Guy
SMG3's Painting
Wolf O'Donnell
Lou Albano
Danny Wells
Mario Head
Freddy Fazbear
Bonnie the Bunny
The Tubby Custard Salesman
Tubby Bison
SwagTubbie
Koopa Bros.
Goopy Le Grande
Cagney Carnation
Ronald McDonald
Mutated Toad Block
Humping Spaghetti
Being naked
Being mean to Luigi
Annoying Toad
Having a swag
Being famous
Losing Spaghetti
Meggy emotionally down
Captain Rockhead
General Di Ravello
Everyone (mostly SMG4) being mean to him
Not being able to participate in activities
Bob (sometimes)
Losing popularity
Not having swag
Minecraft (possibly)
Toad puns
Power of the flab
Captain Rockhead's Gun
"MAMAF**KER" (trademarked quote)
"Ugghh.. My Spaghetti Noodles!"
"Oooh... f***!!"
Mario is the one of the two main protagonists of the SMG4 series, alongside the titular SMG4.
Mario is an Italian plumber originally from Nintendo's Mario franchise. As most of SuperMarioGlitchy4's bloopers make heavy use of Super Mario 64 and its characters, Mario is the main protagonist in the SMG4verse and appears in most of SuperMarioGlitchy4's videos. He has been part of the main cast since the first season, alongside SMG4. He is also known as the older brother of Luigi. According to The Grand Mario Hotel, he is known as Stupid Mario (or as he calls himself Mario Sexy The Plumber) and comes from Earth-8052011.
The Mario that the show focuses on is often portrayed as the dumb guy of the show, and a morbidly obese spaghetti addict. While he seems to think he is popular and has lots of swag (which is true as he has a fan club), Mario is, in reality, an attention-hogging, possibly gay and pedophilic streaker who has been arrested several times. Besides, Mario has been depicted as a pervert, zoophile, prostitute, drug addict, and a drunkard.
Because most of the aforementioned traits are played for comedy, Mario is the protagonist of many bloopers. While he can act somewhat bipolar and is usually enraged by the slightest things, Mario is often cheerful to the point of annoyance.
Mario's origin in the SMG4 universe is convoluted and thus virtually unknown. According to how Mario was born, Mario was born out of a cosmic event and crashed in Nintendo's headquarters. While on a playground, he reproduced by budding and gave birth to Luigi (which would make him Luigi's birthparent). After taking refuge in a dumpster, SMG4 found the two brothers and offered them jobs. Mario however, debunked this story, as the book detailing this was written by some hobo.
In The (TOTALLY ACCURATE) Documentary of Mario, his origin was retconned, and it was revealed that he was born in 1928 (though this might be a joke since if Mario was born at that time, he would be 91 years old today). However, his unknown father was disgusted at Mario's appearance and tried to kill him with a combat knife to "prevent him from laying eggs." This incident was accidentally photographed by either his mother or a doctor for his celebration card, where he was mistaken for a girl. Instead of being happy though, his parents abandoned him on an alley (it was possible that it was the father's idea and the mother was reluctant) and sped off, accidentally crashing and dying. 2 years later, Mario was found and taken to an orphanage where he met Luigi and formed a bond with him. (though Mario would occasionally mistreat him)
When Mario and Luigi attended high school, Mario wasn't much of a great student but was nevertheless popular at the time. He, however, tended to dance in the shower. It was also here where his spaghetti addiction started. At some point, he started taking drugs. These led to horrible consequences, and Mario started acting completely insane and weird, such as trashing an office and speaking in German despite being Italian, spooking his classmates on a pool, dancing on the roof, and finally burning the school down to the ground, much to the principal's frustration. As a result, Mario's reputation hit rock bottom, and it would take 2 to 3 years before he recovered.
Afterward, Mario and Luigi searched for a job and joined The Plumber Academy for Idiots, and though Mario did not graduate (as he apparently must have missed 3 years of class), he still got the job. Some years later, he was called by Princess Peach Toadstool to help clean up her castle. There he met Bowser for the first time, and traumatized the Koopa King by making him drop his sandwich. Ever since then, Mario visited the castle more often. At some point, he also became Nintendo's mascot, but due to rumors about him taking drugs again, he was fired but retained his mascot status. This origin has yet to be officially proven.
Mario wears a long-sleeved red shirt, blue overalls with yellow buttons, brown shoes, and gloves. He has a red cap, brown hair, a black mustache, and blue eyes. He is shorter than his younger brother Luigi.
There are only three things that tub of lard cares about. One, himself. Two, spaghetti. And three, being naked.
—Toad's opinion on Mario, from SM64: Meet the Mario
Mario can lapse into periods of outright retardation. To signal this, SMG4 makes the plumber's eyes cross outward.
In Nintendo canon, Mario is a friendly plumber who helps anyone in need, devotes most of his time to rescuing the princess of the Mushroom Kingdom, and participates in sports matches, kart races and "parties" often.
In the SMG4 universe, however, Mario is a completely different person while still being the heroic, selfless and kind person, Mario in this universe is more of a lazy, mischievous and occasionally selfish moron. He cares mostly about only himself and his favorite dish spaghetti, which he is addicted to and refers to it as his girlfriend or wife, and would trade anything (including SMG4's Youtube account) for it. This addiction went so far that he stole spaghetti from other people and never shares it with anyone (except Meggy).In fact the mere thought of losing Spaghetti will either drive him insane, make him cry in frustration , and even commit suicide. Mario's extreme laziness has made him a hater of socializing (though it was temporary) and exercising. He also refuses to help his friends, family, other people, or possibly even the whole world, even in life-or-world-threatening situations.
His biggest flaw though is his mental disability and lack of common sense. He did not know what was 1+1 or any number past 10 (aside from 1 million) until Baldi taught him math and had also forgotten how to type or how to count. This stupidity annoyed his friends (except for Meggy, who finds it hilarious), especially SMG4 and Toad, and often mocked or berated him for his foolish decisions. He, however, is completely unaware that his very existence antagonizes and ruins people's lives. As a result, he ruined the Grand Mario Hotel, bankrupted Nintendo by using its money to buy food, created some of the gang's worst enemies, such as Enzo, and even drove people to the edge of insanity. Mario though refuses to admit being stupid and claimed to have an IQ of 200. On the contrary, he sometimes uses his stupidity to his advantage and there were moments where he was greatly intelligent and logical, the biggest example being in Stupid Mario Stupid Show, where he correctly theorized that SMG4 went insane to try and get millions of viewers.
Underneath his laziness and retardation though, Mario does indeed care about his friends and family, seeing as how he time-traveled to prevent himself from accidentally killing his brother Luigi during a kart race, comforted Meggy when she first lost the Splatfest, and was in utter distress when both of them were turned into T-Pose Zombies during the Waluigi arc. During the Anime arc, he was extremely desperate to find and save Meggy when she was abducted by Mario's former Anime Cartel boss Francis to extract her ink. At the end of the arc, Mario reveals that he is self-aware that his life has spiraled out of control, but he still cares about his friends.
Mario is also very short-tempered. He can get annoyed easily, and always lashes out at people (including Luigi) when he reaches his breaking point. He is also a sore loser, and can be very demanding and also spoiled.
Criminal Record
Mario has committed various crimes throughout the episodes, either accidentally, out of sheer stupidity, or for a good reason. His latest criminal record is being a Anime Cartel member. Not necessarily in chronological order.
Assault and Murder: Due to his short temper, Mario has assaulted and killed many people when they annoyed him, the most recent example being in SMG4: Mario Gets Stuck On An Island, where he assaulted and threw an airline pilot out of a plane for insulting him.
Torture: In Retarded64: We're going on a Luigi hunt, Mario tortured Luigi ruthlessly with a trash-talking parrot and a pole-dancing chicken due to the latter owing him money, but not paying it. He also forced his friends (except for Toad, who wasn't his friend) to participate in Jackass stunts in SMG4: The Mario Channel - Mario's Jackass.
Animal Theft and Abuse: In SMG4: Mario Preschool, Mario stole animals from a farm to teach preschoolers about what sounds animals make. He even made a cow cry.
Accidental Bank Robbery: In Party Rock Prisoners, a drunk Mario accidentally stole money from the bank.
Using Confiscated Things and Hijacking: After spaghetti was banned from the Mushroom Kingdom in Spaghetti Law, Mario and SMG4 tried to bring it back by hijacking a truck filled with the dish.
Destroying Companies: While showing a Big Chungus how to make good video games in SMG4: Mario's Big Chungus Hunt, Mario proceeded to dismantle Nintendo, Microsoft and Sony, the three biggest video game companies, by killing Shigeru Miyamoto and Master Hand, shooting down Microsoft HQ, and slapping all of Sony's employees and security guards.
Public Nudity: Mario has stripped down in public many times. One such case was in Mario Simulator Interactive if the player chose to have him persuade the cop. (Probably not Canon)
Framing: Mario constantly frames people (mainly Luigi) for things that HE does just to save his skin from a beatdown. An example was in a flashback to SMG4: Detective Mario & Pikachu, where he framed SMG4 for murder and made up a terrible excuse that he did it for winning a Super Smash Bros. match. He later used the same excuse at the end of the video when interrogated by Detective Pikachu as to why he stole Bowser's statue, causing the latter to throw him in lava and burn him alive in retribution.
Reckless Driving: Mario sometimes is very bad at driving, which leads to him accidentally causing chaos and killing people. The most recent example was in SMG4: Mario's Prison Escape, where he ran over and possibly killed a citizen with his kart.
Sexual Harassment: Mario sexually harassed everyone in the Mushroom Kingdom by touching their butts in The Mario Channel: MARIOBUSTERS. This aggravated SMG4 and many others to no end.
Unaware Rampaging: In SMG4: Super Challenge 64, Mario had a challenge where he had to walk backward for 24 hours. While he did the challenge though, he unknowingly destroyed everything in sight and endangered people, which led to the police assuming him insane and trying to arrest him. In the end, the ENTIRE military is called to kill him, and they end up nuking Mushroom City.
Kidnapping: In SMG4: The Mario Café, Mario stole Yoshi's daughter without a second thought.
Illegal Smuggling: In SMG4: Mario's Illegal Operation, Mario, along with Fishy Boopkins, became the newest member of the Anime Cartel, a criminal organization which smuggles anime into the Mushroom Kingdom after its banning.
Speeding and Resisting Arrest: In Mario Simulator Interactive, Mario can choose to ride a kart to catch up to Bowser, but ends up going so fast that a cop pulled him over and prepared to arrest him. The player then can choose to have him continue driving, but if he/she ends up making him stop, the cop will arrest him.
Threatening: On some occasions, Mario threatens to hurt people if they don't do what he says. The most infamous case was in Super Mario 64 Bloopers: Youtube Mario?, where he threatened to murder SMG4's family if the latter did not give him a shout-out on YouTube.
Animal Theft
Accidental Bank Robbery
Using Confiscated Things and Hijacking
Destroying Companies (Nintendo; by killing Shigeru Miyamoto)
Destroying Companies (Nintendo; by killing Master Hand)
Destroying Companies (Microsoft)
Destroying Companies (Sony; by spalling Goomba)
Destroying Companies (Sony; by slapping all security guards)
Destroying Companies (Sony; by slapping the boss)
Framing (SMG4)
Framing (Bowser)
Unaware Rampaging
Illegal Smuggling
Speeding and Resisting Arrest
Antagonistic Roles
Mario has done some villainous acts that affect one or more of the everybody, including SMG4, mostly due to his stupidity and sometimes his malicious desire. This is a list of bloopers where he plays an antagonistic role:
In "Retarded64: Mario for Hire.", Mario uncontrollably flying down the track, he accidentally hits a Guy who was warning Little Billy (Baby Mario) to not play in the street because it's dangerous and swerves and hits the old lady anyway. Then he crashes into Bowser's car and pins the blame on Luigi. Later at night, Mario tries to hijack the car but is caught by a policeman. As he enters the mall, he humps the kart and later doesn't have any money to pay for the kart. Later that day, Mario sets up a stand that sells genuine princess-worn clothes and got caught by Peach Toadstool. Mario unclogs his toilet using a Bob-omb, causing the bomb explodes, sending the trainer hurdling off the toilet. During his job at the cafe, he humps Samus for some money, but got caught. Later when he worked at the business, he stole Heavy Weapons Guy's sandwich and pins the blame on Luigi again. During jail time, he sold Toad to a carnival and got his money. In the end, Luigi pins the blame on Mario as an act of revenge.
In "SM64: Meet the Luigi", he mercilessly chasing Luigi for saying his name. During Mario's interview about Luigi, he proclaims Luigi's orientation is all there is to him. Mario is still unsympathetic towards Luigi, as the latter is being creepy a lot, as Mario might attest. Mario tries promoting Luigi's reliability only to get interrupted By Professor E. Gadd, who goes on blabbing about Luigi's nose getting stuck in the Poltergust. Mario whacks the Professor away.
In "R64: Revenge of Freddy's Spaghettria", Mario taking Luigi to Freddy's Spaghetteria with him as a sacrifice, against his will. Luigi wanted no part of this but Mario revealed that he completely chained up his door, preventing him from escaping, much to his dismay. When they are at the Spaghetteria, Mario gets a Bonnie Head and uses it to scare Luigi for no reason. When Springtrap tries to catch Mario and Luigi, Mario trips and Luigi leaves him behind, causing him to get caught by Springtrap. As Animatronic Mario, he tries to kill Luigi but is stopped by him after he manages to break down the spaghetti.exe program that [Purple Man] programmed into him.
In "R64: The Spaghettipocalypse", Mario created bankruptcy of all the spaghetti factory in the Mushroom Kingdom since he did not pay at all before the blooper. One week later, Mario throws a temper tantrum after he ran out of Spaghetti because of the previous event and blame it on Luigi for what happened, which caused him to call the police to exterminate him. Later, Mario goes on a rampage throughout the Mushroom Kingdom until he got to Professor E. Gadd's lab to terrorize Toadsworth, Luigi, and E. Gadd. After he got hit by Toadsworth with his crowbar, he pours the bottle of magic stuff to spaghetti, causing the spaghetti to grow into a Flying Spaghetti Monster. When the monster started to attack the Mushroom Kingdom, he doesn't care if the monster attacks the city and started eating the spaghetti. When Luigi thinking about Mario ruling the world, Mario becomes a tyrant and summon more spaghetti. After Luigi landed on the monster, he gave Mario a Star to get him to eat the monster rapidly, ending the disaster.
In "Retarded64: We're going on a Luigi hunt", Mario tries to hunt for Luigi after he ran over his "girlfriend" Spaghetti, so he decided to get revenge on him by taking away his money, even though Luigi don't have money yet. After Mario kidnap Luigi, he tortures him by using Fowl-Mouthed Parrot and Dancing Chicken instead of killing him. However, SMG4 brought a new spaghetti for him to stop him from tormenting Luigi for no reason.
In "Retarded64: Mario The Waiter", Mario stole food from Wario and pins the blame on Luigi, which causes Gabe Newell has Mario fill in for him. First, he was being rude to Frankie. Second, he put a fake cutout form of him and place it next to Big Smoke. Third, he destroyed the kitchen. Fourth, he serves Squidward to Toad and Toadette. Then finally, he serves Heavy Weapons Guy a vegan sandwich, which caused chaos in the restaurant. When he threatening Mario to bring the Spaghetti to SMG4, he ate the food and knock SMG4 over, causing Gabe to chase him. After the restaurant was destroyed, Gabe sent Mario and Luigi to the poster of his face.
In "SMG4: Super BACKWARDS Bros", Mario played a reversal role as Bowser and kidnapped Princess Bowser, whom played as Peach Toadstool, but his plan was foiled by Peach, whom she played as Mario, along with Toad, whom he played as Luigi.
In "SMG4: Mario's Fancy Dinner", Mario arrived at the restaurant and wanted to order some spaghetti, but Jeeves tried to get rid of him and Mario refused. This caused Jeeves to chase Mario until he spills the wine on Jeeves' waiter uniform. After he was appointed by Jeeves as his temporary replacement, Mario ruined the dinner between Donkey Kong and Pauline, but Jeeves does his best to save the date.
In "SMG4: Mario's Big Chungus Hunt", Mario hunt down the Big Chungus for stealing his Spaghetti. After he was confronted by the other Chunguses, Judge Chungus sentenced him by getting Grand Chungus to execute him. Meggy then saves Mario by betting him to let Mario made a game about Chunguses. Mario destroyed the Nintendo, Microsoft, and finally Sony HQ to make all of the Chungus game. In the end, he got fired after he helped all of the Chunguses for his crimes.
In "SMG4: Mario Gets Stuck On An Island", Mario was harassing the pilot of the Ryanair flight he was on that he was hungry, but the pilot did not care at all. Angry, the plumber proceeded to throw him out the cockpit window and walked away as the plane crashed, presumably killing all the passengers. In the end, Mario asked the pilot when was the next meal, but the pilot told him instead to shut up, and thus, Mario got angry and ended up repeating the loop by throwing away the pilot offscreen.
Like his mainstream counterpart, Mario has a multitude of strengths and powers.
Although Mario's abilities and physical ability, throughout SMG4's episodes, greatly vary and is inconsistent, this is a list of capabilities he has shown.
Superhuman strength: Mario has been strong enough to punch and throw people from several feet away - miles in the sky. This also includes striking people through doors, concrete walls, or other sorts of barriers or objects. He once used a single punch to break through a large window aligned with reinforced glass. He can casually lift & throw Bowser, who weighs over 1.428 tons. He also punched a pilot straight through the window and down to the ground in Super Happy Magical Fun Fun Island, and once even lifted King Bob-omb (calculated to weigh 30 tons). He can also rip out a control panel of the train and even throw a weight-lift into the sky, taking out a commercial passenger-jet. After launching Fishy Boopkins in the sky, he ended up making a plane crash into E. Gadd's workshop.
Superhuman Speed: Mario was able to outrun many police cruisers in a high-speed chase running backward.
Superhuman Reflexes: There were many instances throughout the SMG4 series where he was able to dodge bullets. He once casually dodged shotgun rounds the instant they were inches away from landing on him.
Superhuman endurance: Over the years, Mario has survived nearly everything thrown at him, from falling from great heights, falling from orbit, gunfire, explosions (greatly ranging in magnitude), getting attacked by Bowser, getting crushed, physical blows from SMG4 (about as strong as him) to car & plane crashes, all barely fazed. On rare occasions, thanks to the humorous Laws of Cartoon Physics, he will lose his head and be fine in the next scene (Sometimes he can function normally without his head attached). Once survived being utterly whooped by a Super Saiyan 3 Steve and taking a direct hit from his Kamehameha.
Pyrokinesis: Much like his games, he has shown the ability to manipulate fire.
Anaerobic Functioning: Mario is often seen in space or underwater without showing signs of needing oxygen. This trait is often shared with the older, retarded SMG4 characters. (While others including SMG4 himself, can't.)
Hand-to-hand skill: Although most of the time he is depicted as a coward, there are times he has displayed his true skill has proven himself to be a master at unarmed combat. Over the years he has been in many battles, winning most of them. He has his unique style, with very fast and powerful punches and kicks and tackles. One of the best examples of this is his final fight with SMG4 at the end of Mario Battle Royale.
Agility: Despite his weight and shape, he has a great acrobatic capability. He also can greatly apply this to combat, as he can be very skillful when it comes to rapid, high jumps, flips, and tackles. A good example of this was the time he fought Sans.
Giant size and strength: In Ssenmodnar 10, Mario used a Mega Mushroom to grow into Mega Mario, a power-up form who is bigger, stronger and tougher than the base Mario.
Below-Zero Temperature Tolerant: In SnowTrapped, in some clips, Mario is seen naked in the cold a few times, without any adverse effects. He is also occasionally seen in space, which has a temperature of -454.81, dressed casually in no protective garments and still is not bothered by it.
Rapping Skills: In War of the Fat Italians 2015, 2016, 2017, 2018, as well as Supah Star Rap Battles of Epicness, Mario has demonstrated great rapping skill.
H4ck1ng Sk1llz: Despite normally being unintelligent, Mario was shown to be perfectly capable of hacking into computers in MarioTube 2. However, he needed to break into YouTube™ Headquarters to do so.
Dancing Moves: Mario is known to be skilled at dancing as shown in Stupid Mario Party.
"Fat Powers": In SMG4: Mario And The T-Pose Virus, Mario could make himself even fatter at will. This made him even stronger, allowing him to break down doors and other furniture.
Nude Bomb: Mario was able to gather the nudes from not just himself into a Spirit Bomb type ball that was powerful enough to turn a pig to ashes. SMG4: Mario Gets Stuck On An Island.
"Capturing": Using Cappy, Mario can take control of other people, enemies or inanimate objects.
Drawing Master Sword: Despite his negative traits and not proving his power, wisdom, and courage, Mario in If Mario was in... Legend Of Zelda: Ocarina Of Time proved worthy of drawing Master Sword from its a pedestal. This impressive feat, however, might be just attributed to his already absurd superhuman strength.
Superhuman strength
Superhuman Reflexes
Superhuman Endurance
Hand-to hand skill
Below-Zero Temperature Tolerant
Rapping Skills
H4ck1ng Sk1llz
Dancing Moves
"Fat Powers"
Nude Bomb
"Capturing"
Of course, Mario has weaknesses (though comparatively few compared with many characters):
Slow speed: Due to his high weight (at least 12,000 pounds which equal 7 tons), he is slow on his feet, as shown in 101 Ways for Mario to Die, The 1337 Police, and several other bloopers, though this isn't much of a flaw. However, he was recently shown to have superhuman speed.
Lack of common sense: Mario is one of the most stupid characters (if not the most stupid character) in the series, not even knowing what 1+1 is until Baldi taught him math. It is so far his biggest weakness, as it cost him quite a few battles, despite his strength. However, Mario sometimes does shows signs of intelligence in some episodes, with the biggest example being The Super Mario Stupid Show, which brings up the question if Mario pretends to be stupid and/or has an intelligent side.
Impulsiveness: Mario tends to run into danger without a strategy. This caused him to lose several lives in SM64 Bloopers: Can Ganondorf come out to play?, get bombed several times by SMG3's Painting in SMG3's Gauntlet of Gloom, and almost got him turned into a T-Pose Zombie in Mario and the Waluigi Apocalypse. This is a character trait not unique to him in terms of combat impulsiveness: Luigi on occasions runs into combat extremely recklessly when forced out of fear, or Meggy, who often overestimates her capability, as it once got her turned into a T-Pose Zombie.
Numbness: Exclusive to Super Mario RUN RUN RUN!. This numbness causes him to not feel his legs. Worn off when he managed to reverse the spell Kamek used on him.
Poor Cooking: Mario has downright awful cooking skills, and whenever he turned an oven on, the oven would destroy the castle. In SMG4: Mario's Hell Kitchen, SMG4 didn't allow him to help because of it and called him useless. Sometimes the occurrence of him failing to use an oven or machines is attributed to bad luck
Lack of usage of Abilities: Despite Mario having insane abilities, like his ridiculous level of strength, he seems to never actually use it when circumstances require it, such as facing enemies/foes or getting out of a certain situation. This can be tied to his Lack of common sense.
Numbness.
God-like Abilities
Although Mario is often depicted as a normal human being, unlike higher-level entities such as Waluigi in his Rejection Form, Master Hand, Ztar, or even an actual God, the God of the Teletubby World, there are rare instances where he has displayed such capabilities that put him in the same level of ascendancy with them all:
God-Like Strength: In Super Challenge 64, once his path of backward sprinting started, he could not be stopped. He rammed & destroyed oncoming vehicles, went straight through concrete walls, heavily destroying small buildings, and greatest of all, he trampled Son Goku from Dragon Ball and the Legend Himself Ultra Instinct Shaggy from the meme of the same name, all without taking little to no notice. He once defeated the Mario Head with a single jumping upwards fist strike, sending it into the clouds. (The Mario Head once destroyed the Earth by crashing into it.)
God-Like Speed: While in the state of Super Saiyan, Mario can fly at incomprehensible speeds. In R64: Mario Simulator, he was able to fly from the Earth to the Sun in ~3 seconds. This means he clocked in a speed of around 111,552,000,000 mph (30,986,667 mi/second), approximately 170 times the speed of light.
(The calculation of exact speed of a fan observation and should not be considered official)
God-Like Endurance: Mario has displayed many traits of great physical endurance, but in rare instances, he endures things that would be impossible to survive without the aid of an invincibility star. In SMG4: Super Challenge 64 Mario is seemingly unbothered after The Mushroom Kingdom Army/National Guard detonates a nuclear weapon right on top of him. He didn't seem to take notice that he was hit by a nuke point-blank, neither the destruction of the city around him after it; he was too busy celebrating winning a bet made by Meggy (He was challenged to run backward for a whole day).
Super Saiyan Form: In R64: Mario Simulator, the simulator game based on him put him in one of the biggest states of rage he's ever been in. Similar to Steve's Super Saiyan 3 Form, all of Mario's abilities and physical strength are presumably enhanced to a far greater level.
Z Move: Italian ThunderFat: Mario can charge up his Z-Power, and deliver a ground smash powerful enough to leave the entire planet in ruins.
SSJ Mario
⚠This is what happens when you piss off Mario to maximum rage...
Mario flying from the Earth to the Sun
Mario's Z-Power
List of Jobs
Waiter (Formerly)
Police Officer (Formerly)
Lawyer (Formerly)
Spaghetti delivery boy (Formerly)
Tech support (Formerly)
Starbucks employee (Formerly)
Officer Employee (Formerly)
Nightguard (Formerly)
Drug dealer
Power Ranger
Hotel Manager (Formerly)
Boss of Nintendo (Formerly)
Mafia Boss
Scam Artist (Formerly)
Manager (Formerly)
Anime Smuggler
Mail Man (Formerly)
Lifeguard (Formerly)
Bowser's Minion (Formerly)
Roles in parodies, arcs, etc.
Mushroom wars: that space series?
In this parody, Mario plays the role of Luke Skywalker, called Mario Gaywalker. In this parody, he is depicted as being poor and living on a farm, and at the start of the video, he is seen trying to get money. Unlike the actual Skywalker, he has no aunt and uncle.
After failing to get money, Skywalker sees R2-D2 and C-3PO (played by Luigi and called L3GI) crashing their escape pod in front of his farm. The damaged R2 then displays a message sent from Princess Leia Organa (played by Peach) about being trapped in the Death Star, but Skywalker becomes too distracted with her breasts to listen, much to her frustration. The next day, Skywalker and Threepio discover R2 is missing and while trying to find him, end up in a scuffle with Teletubbies when Skywalker found R2 being harassed by them and tried to save him. They are saved by Obi-Wan Kenobi (played by SMG4 and called Hobo-Wan Kenobo), who attempts to train Skywalker in being a Jedi, but fails.
After meeting with their pilots Han Solo (played by Waluigi) and Chewbacca (played by Bowser), they board their ship and go to the Death Star to save Organa. While Solo and Chewie try to save Organa (who later gets thrown out into the vacuum of space by Threepio as revenge for being ignored), Skywalker and Kenobi try to defeat Darth Vader (played by Toad). Upon Vader's escape, he activates the Death Star's self destruct mechanism to get the gang killed. While trying to deactivate the forcefields blocking their escape, Skywalker is ambushed by Vader, who tries to persuade him to the dark side of the force, as well as revealing he is Skywalker's only parent. Using the force, Skywalker manages to kill Vader and deactivate the forcefields, flying off with the gang as the station explodes.
Mario Facts from ṩṩἔᾗмὄḋᾗᾄʀ 5 (WAT O_O edition)
These "facts" are displayed between skits in ṩṩἔᾗмὄḋᾗᾄʀ 5, according to SMG4. Many are disputable.
Mario eats around 640,000 bowls of spaghetti each hour.
Mario had his first kiss with a blonde looking hobo.
Mario hit puberty when he was 30. (If this is true, this could confirm his age)
Mario can fly with his magical cap.
Mario farted over 13456 times in the castle.
Mario hasn't proved left or right-handed, meaning he's probably ambidextrous.
Mario makes 1 coin per pipe he blows up or destroys.
Luigi is Mario's sister. (This is a lie)
Mario is Chinese but changed to Italian.
Mario's last name is "The Plumber".
Princess Peach is Mario WAAAAAAAAHHH?!?!
Mario's favorite color is Boobies.
Mario's birthday is at 13/31/1942 or Sumthin'.
Mario's middle name is "Sexy".
Mario has children and their names are Toad. (This is a lie)
Mario has no teeth (This is a lie).
Mario's overalls were created from dirt.
Mario was going to star in Justin Bieber's music video but got kicked due to destroying everything.
Mario has no fingers. (Probably another lie)
Everyone's eyes are blue. (This only applies to characters who are re-colored Mario 64 characters.)
Everyone stole Mario's mustache style.
Bowser hates Mario because he made him drop his sandwich!
Mario wears contact lenses and panties.
Mario's nose originally was a genetic mutation.
Mario rates this video 0/10
Pokémans
Main article: Mario's Pokemans
When Mario's eyes go into derp mode, he starts to act incredibly retarded.
Mario has appeared in almost every blooper, with notable exceptions being Guards N' Retards: The Vacation, The Butt Ninja, Pointy Things, BattleToads, The Wacky Wario Bros.: Waluigi Origins and SMG4: The Japan Trip.
Mario is one of the four characters to appear in the very first video by SMG4 (The Cake is a Lie). The others are Peach, Lakitu, and Toad.
Mario has been shown to occasionally eat food from the dumpster.
Mario behaved much less spoonily in SMG4's 2011 bloopers. He was however shown to be far more retarded back then since according to SMG4, he didn't know any number past 10.
Mario thinks that the elderly are useless. For instance, in Who let the Chomp out?, Mario asks Toadsworth if the latter is going to throw his walking stick at the Chain Chomp to defeat it.
Mario has a YouTube channel called TheAwesomeMario, which currently has over 212k subscribers.
Mario likes to jump off of the castle roof.
When acting insane, Mario can fly without a Wing Cap.
Mario has had three heart attacks from eating spaghetti. He has also had a heart attack from eating hot dogs, requiring him to go to the hospital.
According to Bob-ombache, Mario was once abducted by Bob-omb Buddies but was regarded as a failed experiment and was dropped in front of Peach's Castle.
Mario is a border-line idiot at the Idiot Test.
Mario and Peach have had sex before. A few times.
Mario (outside of the SMG4 universe) is classified as homo Nintendo NES. This is a fact that was revealed in 2014.
In Super Mario 64 Bloopers: Dreams, it is revealed Mario has a phobia of old people after his 2nd dream.
The reason Luke Lerdwichagul made Mario a mentally retarded character like Homer Simpson from The Simpsons or Peter Griffin from Family Guy was because he felt that using a "normal" or "heroic" personality would be boring. Incidentally, his author avatar has that personality.
Mario is a tiny bit transparent when the SM64 model is used, this can be found in Mario the Waiter after Luigi goes to cook Mario's burrito with spaghetti in it, with the Pyro from TF2 being slightly distinguishable.
Mario is confirmed to be heterosexual.
According to The (TOTALLY ACCURATE) documentary of Mario, Mario was born in 1928. Though this might be a joke/oversight (since if Mario was born at that time, he would be 91 years old), it might be a reference to how some fans theorize that Mario is older than how he looks like, or if he ages slower than normal human beings.
Mario seems to enjoy playing Dark Souls 3.
Start a Discussion Discussions about Mario
NO COSTUMES TAB FOR MARIO?!?!
EricSmith3688
I was checking on Mario's page but i don't see costumes tab. Could you add it please? 2019-06-27T16:51:41Z
Mateus.mourao.1
I don't really know how,sorry dude.	 2019-06-28T20:18:30Z
SuperMarioGlicthy4 Z (SMBZ and SMG4 crossover Roleplay)
Are you spaghett1
Dialga time lord wrote: You are spaget. hel ye	 2019-05-16T19:12:30Z
JustPoseidon
It Would Be Nice To See A Discord Server With This, Also With Roleplay And Sh**. I'd Join I Guess.	 2019-06-10T22:05:37Z
Retrieved from "https://supermarioglitchy4.fandom.com/wiki/Mario?oldid=268510"

redpajama_set_name: RedPajamaCommonCrawl


Responsible for inputting new claims, processing payments, conducting billing research and responding to telephone inquires. Reviews and dispositions more complex claims. Determines whether to return, deny, or pay claims according to organizational policies and procedures. Prepares daily reports for claims management team. May provide guidance to less experienced claims processors. Requires a high school diploma or its equivalent. Typically reports to a supervisor. Gaining or has attained full proficiency in a specific area of discipline. Works under moderate supervision. Typically requires 1-3 years of related experience.
Salary range for a Claims Processing Clerk, Sr.
These charts show the average base salary (core compensation), as well as the average total compensation for the job of Claims Processing Clerk, Sr. in the United States. The base salary for Claims Processing Clerk, Sr. ranges from $36,943 to $47,816 with the average base salary of $42,810. The total compensation, which includes bonus, health and retirement, can vary anywhere from $37,345 to $48,774 with the average total compensation of $43,565.
Job Openings for Claims Processing Clerk, Sr.


text:
Kirsten Claiden-Yardley
Tudor historian. Author. Researcher.
Oxford Heritage Partnership
Memorials map
Tag: Mary Boleyn
Wolf Hall Explained – Where was Mary Boleyn?
Fans of Philippa Gregory may have found themselves wondering where Mary Boleyn was as his sister was falling from favour and ultimately meeting her fate at the hands of the executioner. After all, in The Other Boleyn Girl book, Mary is at court when Anne is arrested and her daughter is taken to the Tower as a companion to Anne. In the 2008 film, Mary rides back to court to plead with Henry for her sister's life and then sees Anne, promising to look after her daughter, Elizabeth. In contrast, Mary Boleyn disappeared from sight after episode 3 of Wolf Hall. Continue reading "Wolf Hall Explained – Where was Mary Boleyn?"
Author KirstenPosted on February 27, 2015 Categories Historical DramaTags Mary Boleyn, The Other Boleyn Girl, William Stafford, Wolf HallLeave a comment on Wolf Hall Explained – Where was Mary Boleyn?
Wolf Hall Explained – Anne's Family
In episode 3 of Wolf Hall, Cromwell was summoned to a crisis gathering of Anne's family to deal with Henry Percy's claim that he and Anne had been contracted to one another (in Tudor England, promises of marriage were seen as binding contracts and would mean that Anne was not free to marry Henry VIII). But who exactly were all the people standing around? Continue reading "Wolf Hall Explained – Anne's Family"
Author KirstenPosted on February 10, 2015 February 10, 2015 Categories Historical DramaTags Duke of Norfolk, Earl of Wiltshire, George Boleyn, Jane Boleyn, Lady Rochford, Mary Boleyn, Thomas Boleyn, Thomas Cromwell, Thomas Howard, Viscount Rochford, Wolf Hall1 Comment on Wolf Hall Explained – Anne's Family
Wolf Hall Explained – Was Thomas Cromwell a hit with the ladies?
In the second episode of Wolf Hall, Thomas Cromwell found himself on the receiving end of a reasonable amount of female attention (for a drama that is marketing itself as a serious political interpretation not the sex fest that is The Tudors). First up was Mary Boleyn, perhaps better known in popular culture as the heroine of Philippa Gregory's novel The Other Boleyn Girl. She made her interest in Cromwell clear, although her motivation appeared to have been that it would piss of her relatives who had little interest in her since she had been cast off as Henry VIII's mistress. Whilst Cromwell turned Mary down he did give into Joan, one of the women in his household. Joan was in fact his dead wife's sister and her husband worked for Cromwell. So, did he really have women throwing themselves at him? Continue reading "Wolf Hall Explained – Was Thomas Cromwell a hit with the ladies?"
Author KirstenPosted on February 4, 2015 March 6, 2015 Categories Historical DramaTags Joan Williamson, Mary Boleyn, Thomas Cromwell, Wolf HallLeave a comment on Wolf Hall Explained – Was Thomas Cromwell a hit with the ladies?
Holy Trinity church in Theale was built in 1832, entirely funded by Mrs Sophia Sheppard. Previously the village was part of the ecclesiastical parish of Tilehurst and had only a chapel of ease. The Early English architecture is often likened to Salisbury Cathedral and the front of the gallery is copied from one of the chapels at Salisbury. The tower was also inspired by the bell tower that once stood in the Salisbury Cathedral churchyard. The building between the two structures was intended as a schoolroom.
Swalcliffe St Peter and St Paul. Possibly one of the clearest examples of architectural evolution that I have seen.
Oxford always manages to look picturesque when the sun comes out! The Radcliffe Camera (built 1737-49) with All Souls College (founded 1438) in the background.
Commonwealth War Grave Commission memorials in the churchyard at Theale Holy Trinity, Berkshire. One for three brothers, all pilots and all killed in a span of two years. Also, a memorial to an air raid warden killed by enemy action in Surrey.
A quick look back at some of the history I experienced in 2022. In order the places are:
The local grade 2 listed lock up (not still in use!). It was built in 1834 and used to house men overnight until the could be transported to the courts in the neighbouring town.
The bridge across the river Severn in Bewdley. This particular bridge was built by Thomas Telford in 1798 and is a grade I listed structure. It replaced an earlier bridge of c. 1483 which had five stone arches and was topped by a timber framed gatehouse/town jail.
Oxford above and below...
Anne Boleyn Battle of Bosworth Becoming Elizabeth costume design Duke of Norfolk earl of Northumberland Earl of Surrey earl of westmorland Earl of Wiltshire Edward VI Elizabeth I exhibition Framlingham French accent French hoods George Boleyn gifts henry vii Henry VIII Henry VIII's wives Hilary Mantel Jane Boleyn Jane Seymour Joan Williamson Katherine of Aragon Katherine Parr Lady Rochford Mary Boleyn Mary I Mary Queen of Scots Rafe Sadler review Richard Cromwell Robert Dudley St George's Chapel The Mirror and the Light Thetford Priory Thomas Boleyn Thomas Cromwell Thomas Howard Thomas Seymour tomb tombs Tudors Wolf Hall
Historical Drama
Tudor Nobility
Kirsten Claiden-Yardley Blog at WordPress.com.


The wooden top with inset edge has charcoal gray accent striping on the table top, leaves and apron bead molding. The tapered legs are finished with metal ferrules in a platinum finish. With the two 20-inch leaves, this dining table extends to 120 inches, comfortably seating ten.


text:
Commenced in January 2007
Paper Count: 136
Search results for: Regression model
136 A Multiple Linear Regression Model to Predict the Price of Cement in Nigeria
Authors: Kenneth M. Oba
This study investigated factors affecting the price of cement in Nigeria, and developed a mathematical model that can predict future cement prices. Cement is key in the Nigerian construction industry. The changes in price caused by certain factors could affect economic and infrastructural development; hence there is need for proper proactive planning. Secondary data were collected from published information on cement between 2014 and 2019. In addition, questionnaires were sent to some domestic cement retailers in Port Harcourt in Nigeria, to obtain the actual prices of cement between the same periods. The study revealed that the most critical factors affecting the price of cement in Nigeria are inflation rate, population growth rate, and Gross Domestic Product (GDP) growth rate. With the use of data from United Nations, International Monetary Fund, and Central Bank of Nigeria databases, amongst others, a Multiple Linear Regression model was formulated. The model was used to predict the price of cement for 2020-2025. The model was then tested with 95% confidence level, using a two-tailed t-test and an F-test, resulting in an R2 of 0.8428 and R2 (adj.) of 0.6069. The results of the tests and the correlation factors confirm the model to be fit and adequate. This study will equip researchers and stakeholders in the construction industry with information for planning, monitoring, and management of present and future construction projects that involve the use of cement.
Keywords: multiple linear regression model, Nigerian construction industry, price prediction, Cement price
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135 Effects of Polyvictimization in Suicidal Ideation among Children and Adolescents in Chile
Authors: Oscar E. Cariceo
In Chile, there is a lack of evidence about the impact of polyvictimization on the emergence of suicidal thoughts among children and young people. Thus, this study aims to explore the association between the episodes of polyvictimization suffered by Chilean children and young people and the manifestation of signs related to suicidal tendencies. To achieve this purpose, secondary data from the First Polyvictimization Survey on Children and Adolescents of 2017 were analyzed, and a binomial logistic regression model was applied to establish the probability that young people are experiencing suicidal ideation episodes. The main findings show that women between the ages of 13 and 15 years, who are in seventh grade and second in subsidized schools, are more likely to express suicidal ideas, which increases if they have suffered different types of victimization, particularly physical violence, psychological aggression, and sexual abuse.
Keywords: suicidal ideation, Youth, Chile, polyvictimization
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134 The Association between Affective States and Sexual/Health-Related Status among Men Who Have Sex with Men in China: An Exploration Study Using Social Media Data
Authors: Zhi-Wei Zheng, Zhong-Qi Liu, Jia-Ling Qiu, Shan-Qing Guo, Zhong-Wei Jia, Chun Hao
Objectives: The purpose of this study was to understand and examine the association between diurnal mood variation and sexual/health-related status among men who have sex with men (MSM) using data from MSM Chinese Twitter messages. The study consists of 843,745 postings of 377,610 MSM users located in Guangdong that were culled from the MSM Chinese Twitter App. Positive affect, negative affect, sexual related behaviors, and health-related status were measured using the Simplified Chinese Linguistic Inquiry and Word Count. Emotions, including joy, sadness, anger, fear, and disgust were measured using the Weibo Basic Mood Lexicon. A positive sentiment score and a positive emotions score were also calculated. Linear regression models based on a permutation test were used to assess associations between affective states and sexual/health-related status. In the results, 5,871 active MSM users and their 477,374 postings were finally selected. MSM expressed positive affect and joy at 8 a.m. and expressed negative affect and negative emotions between 2 a.m. and 4 a.m. In addition, 25.1% of negative postings were directly related to health and 13.4% reported seeking social support during that sensitive period. MSM who were senior, educated, overweight or obese, self-identified as performing a versatile sex role, and with less followers, more followers, and less chat groups mainly expressed more negative affect and negative emotions. MSM who talked more about sexual-related behaviors had a higher positive sentiment score (β=0.29, p < 0.001) and a higher positive emotions score (β = 0.16, p < 0.001). MSM who reported more on their health status had a lower positive sentiment score (β = -0.83, p < 0.001) and a lower positive emotions score (β = -0.37, p < 0.001). The study concluded that psychological intervention based on an app for MSM should be conducted, as it may improve mental health.
Keywords: Social Media, Affect, men who have sex with men, health-related status, sexual-related behaviors
133 Scope, Relevance and Sustainability of Decentralized Renewable Energy Systems in Developing Economies: Imperatives from Indian Case Studies
Authors: Harshit Vallecha, Prabha Bhola
'Energy for all', is a global issue of concern for the past many years. Despite the number of technological advancements and innovations, significant numbers of people are living without access to electricity around the world. India, an emerging economy, tops the list of nations having the maximum number of residents living off the grid, thus raising global attention in past few years to provide clean and sustainable energy access solutions to all of its residents. It is evident from developed economies that centralized planning and electrification alone is not sufficient for meeting energy security. Implementation of off-grid and consumer-driven energy models like Decentralized Renewable Energy (DRE) systems have played a significant role in meeting the national energy demand in developed nations. Cases of DRE systems have been reported in developing countries like India for the past few years. This paper attempts to profile the status of DRE projects in the Indian context with their scope and relevance to ensure universal electrification. Diversified cases of DRE projects, particularly solar, biomass and micro hydro are identified in different Indian states. Critical factors affecting the sustainability of DRE projects are extracted with their interlinkages in the context of developers, beneficiaries and promoters involved in such projects. Socio-techno-economic indicators are identified through similar cases in the context of DRE projects. Exploratory factor analysis is performed to evaluate the critical sustainability factors followed by regression analysis to establish the relationship between the dependent and independent factors. The generated EFA-Regression model provides a basis to develop the sustainability and replicability framework for broader coverage of DRE projects in developing nations in order to attain the goal of universal electrification with least carbon emissions.
Keywords: Climate Change, Renewable Energy, decentralized generation, electricity access
132 Monte Carlo Estimation of Heteroscedasticity and Periodicity Effects in a Panel Data Regression Model
Authors: Nureni O. Adeboye, Dawud A. Agunbiade
This research attempts to investigate the effects of heteroscedasticity and periodicity in a Panel Data Regression Model (PDRM) by extending previous works on balanced panel data estimation within the context of fitting PDRM for Banks audit fee. The estimation of such model was achieved through the derivation of Joint Lagrange Multiplier (LM) test for homoscedasticity and zero-serial correlation, a conditional LM test for zero serial correlation given heteroscedasticity of varying degrees as well as conditional LM test for homoscedasticity given first order positive serial correlation via a two-way error component model. Monte Carlo simulations were carried out for 81 different variations, of which its design assumed a uniform distribution under a linear heteroscedasticity function. Each of the variation was iterated 1000 times and the assessment of the three estimators considered are based on Variance, Absolute bias (ABIAS), Mean square error (MSE) and the Root Mean Square (RMSE) of parameters estimates. Eighteen different models at different specified conditions were fitted, and the best-fitted model is that of within estimator when heteroscedasticity is severe at either zero or positive serial correlation value. LM test results showed that the tests have good size and power as all the three tests are significant at 5% for the specified linear form of heteroscedasticity function which established the facts that Banks operations are severely heteroscedastic in nature with little or no periodicity effects.
Keywords: Periodicity, heteroscedasticity, audit fee, lagrange multiplier test
131 High Speed Rail vs. Other Factors Affecting the Tourism Market in Italy
Authors: F. Pagliara, F. Mauriello
The objective of this paper is to investigate the relationship between the increase of accessibility brought by high speed rail (HSR) systems and the tourism market in Italy. The impacts of HSR projects on tourism can be quantified in different ways. In this manuscript, an empirical analysis has been carried out with the aid of a dataset containing information both on tourism and transport for 99 Italian provinces during the 2006-2016 period. Panel data regression models have been considered, since they allow modelling a wide variety of correlation patterns. Results show that HSR has an impact on the choice of a given destination for Italian tourists while the presence of a second level hub mainly affects foreign tourists. Attraction variables are also significant for both categories and the variables concerning security, such as number of crimes registered in a given destination, have a negative impact on the choice of a destination.
Keywords: Security, tourists, high speed rail, attractions, overnights
130 Application of the Least Squares Method in the Adjustment of Chlorodifluoromethane (HCFC-142b) Regression Models
Authors: L. J. de Bessa Neto, V. S. Filho, J. V. Ferreira Nunes, G. C. Bergamo
There are many situations in which human activities have significant effects on the environment. Damage to the ozone layer is one of them. The objective of this work is to use the Least Squares Method, considering the linear, exponential, logarithmic, power and polynomial models of the second degree, to analyze through the coefficient of determination (R²), which model best fits the behavior of the chlorodifluoromethane (HCFC-142b) in parts per trillion between 1992 and 2018, as well as estimates of future concentrations between 5 and 10 periods, i.e. the concentration of this pollutant in the years 2023 and 2028 in each of the adjustments. A total of 809 observations of the concentration of HCFC-142b in one of the monitoring stations of gases precursors of the deterioration of the ozone layer during the period of time studied were selected and, using these data, the statistical software Excel was used for make the scatter plots of each of the adjustment models. With the development of the present study, it was observed that the logarithmic fit was the model that best fit the data set, since besides having a significant R² its adjusted curve was compatible with the natural trend curve of the phenomenon.
Keywords: Regression Models, least squares method, chlorodifluoromethane (HCFC-142b), ozone (O3)
129 Arabic Character Recognition Using Regression Curves with the Expectation Maximization Algorithm
Authors: Abdullah A. AlShaher
In this paper, we demonstrate how regression curves can be used to recognize 2D non-rigid handwritten shapes. Each shape is represented by a set of non-overlapping uniformly distributed landmarks. The underlying models utilize 2nd order of polynomials to model shapes within a training set. To estimate the regression models, we need to extract the required coefficients which describe the variations for a set of shape class. Hence, a least square method is used to estimate such modes. We then proceed by training these coefficients using the apparatus Expectation Maximization algorithm. Recognition is carried out by finding the least error landmarks displacement with respect to the model curves. Handwritten isolated Arabic characters are used to evaluate our approach.
Keywords: expectation maximization algorithm, regression curves, shape recognition, Arabic handwritten characters
128 Optimization of Slider Crank Mechanism Using Design of Experiments and Multi-Linear Regression
Authors: Galal Elkobrosy, Amr M. Abdelrazek, Bassuny M. Elsouhily, Mohamed E. Khidr
Crank shaft length, connecting rod length, crank angle, engine rpm, cylinder bore, mass of piston and compression ratio are the inputs that can control the performance of the slider crank mechanism and then its efficiency. Several combinations of these seven inputs are used and compared. The throughput engine torque predicted by the simulation is analyzed through two different regression models, with and without interaction terms, developed according to multi-linear regression using LU decomposition to solve system of algebraic equations. These models are validated. A regression model in seven inputs including their interaction terms lowered the polynomial degree from 3rd degree to 1st degree and suggested valid predictions and stable explanations.
Keywords: design of experiments, Statistical Modeling, Regression analysis, SI engine
127 Prediction on Housing Price Based on Deep Learning
Authors: Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
In order to study the impact of various factors on the housing price, we propose to build different prediction models based on deep learning to determine the existing data of the real estate in order to more accurately predict the housing price or its changing trend in the future. Considering that the factors which affect the housing price vary widely, the proposed prediction models include two categories. The first one is based on multiple characteristic factors of the real estate. We built Convolution Neural Network (CNN) prediction model and Long Short-Term Memory (LSTM) neural network prediction model based on deep learning, and logical regression model was implemented to make a comparison between these three models. Another prediction model is time series model. Based on deep learning, we proposed an LSTM-1 model purely regard to time series, then implementing and comparing the LSTM model and the Auto-Regressive and Moving Average (ARMA) model. In this paper, comprehensive study of the second-hand housing price in Beijing has been conducted from three aspects: crawling and analyzing, housing price predicting, and the result comparing. Ultimately the best model program was produced, which is of great significance to evaluation and prediction of the housing price in the real estate industry.
Keywords: Deep learning, convolutional neural network, LSTM, housing prediction
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126 Optimizing and Evaluating Performance Quality Control of the Production Process of Disposable Essentials Using Approach Vague Goal Programming
Authors: Hadi Gholizadeh, Ali Tajdin
To have effective production planning, it is necessary to control the quality of processes. This paper aims at improving the performance of the disposable essentials process using statistical quality control and goal programming in a vague environment. That is expressed uncertainty because there is always a measurement error in the real world. Therefore, in this study, the conditions are examined in a vague environment that is a distance-based environment. The disposable essentials process in Kach Company was studied. Statistical control tools were used to characterize the existing process for four factor responses including the average of disposable glasses' weights, heights, crater diameters, and volumes. Goal programming was then utilized to find the combination of optimal factors setting in a vague environment which is measured to apply uncertainty of the initial information when some of the parameters of the models are vague; also, the fuzzy regression model is used to predict the responses of the four described factors. Optimization results show that the process capability index values for disposable glasses' average of weights, heights, crater diameters and volumes were improved. Such increasing the quality of the products and reducing the waste, which will reduce the cost of the finished product, and ultimately will bring customer satisfaction, and this satisfaction, will mean increased sales.
Keywords: Quality Control, Goal Programming, fuzzy regression, vague environment, disposable glasses' optimization
125 Horizontal and Vertical Illuminance Correlations in a Case Study for Shaded South Facing Surfaces
Authors: S. Matour, M. Mahdavinejad, R. Fayaz
Daylight utilization is a key factor in achieving visual and thermal comfort, and energy savings in integrated building design. However, lack of measured data related to this topic has become a major challenge with the increasing need for integrating lighting concepts and simulations in the early stages of design procedures. The current paper deals with the values of daylight illuminance on horizontal and south facing vertical surfaces; the data are estimated using IESNA model and measured values of the horizontal and vertical illuminance, and a regression model with an acceptable linear correlation is obtained. The resultant illuminance frequency curves are useful for estimating daylight availability on south facing surfaces in Tehran. In addition, the relationship between indirect vertical illuminance and the corresponding global horizontal illuminance is analyzed. A simple parametric equation is proposed in order to predict the vertical illumination on a shaded south facing surface. The equation correlates the ratio between the vertical and horizontal illuminance to the solar altitude and is used with another relationship for prediction of the vertical illuminance. Both equations show good agreement, which allows for calculation of indirect vertical illuminance on a south facing surface at any time throughout the year.
Keywords: Tehran daylight availability, horizontal illuminance, vertical illuminance, diffuse illuminance
124 Movie Genre Preference Prediction Using Machine Learning for Customer-Based Information
Authors: Haifeng Wang, Haili Zhang
Most movie recommendation systems have been developed for customers to find items of interest. This work introduces a predictive model usable by small and medium-sized enterprises (SMEs) who are in need of a data-based and analytical approach to stock proper movies for local audiences and retain more customers. We used classification models to extract features from thousands of customers' demographic, behavioral and social information to predict their movie genre preference. In the implementation, a Gaussian kernel support vector machine (SVM) classification model and a logistic regression model were established to extract features from sample data and their test error-in-sample were compared. Comparison of error-out-sample was also made under different Vapnik–Chervonenkis (VC) dimensions in the machine learning algorithm to find and prevent overfitting. Gaussian kernel SVM prediction model can correctly predict movie genre preferences in 85% of positive cases. The accuracy of the algorithm increased to 93% with a smaller VC dimension and less overfitting. These findings advance our understanding of how to use machine learning approach to predict customers' preferences with a small data set and design prediction tools for these enterprises.
Keywords: Machine Learning, computational social science, SVM, movie preference
123 An Internet of Things-Based Weight Monitoring System for Honey
Authors: Zheng-Yan Ruan, Chien-Hao Wang, Hong-Jen Lin, Chien-Peng Huang, Ying-Hao Chen, En-Cheng Yang, Chwan-Lu Tseng, Joe-Air Jiang
Bees play a vital role in pollination. This paper focuses on the weighing process of honey. Honey is usually stored at the comb in a hive. Bee farmers brush bees away from the comb and then collect honey, and the collected honey is weighed afterward. However, such a process brings strong negative influences on bees and even leads to the death of bees. This paper therefore presents an Internet of Things-based weight monitoring system which uses weight sensors to measure the weight of honey and simplifies the whole weighing procedure. To verify the system, the weight measured by the system is compared to the weight of standard weights used for calibration by employing a linear regression model. The R2 of the regression model is 0.9788, which suggests that the weighing system is highly reliable and is able to be applied to obtain actual weight of honey. In the future, the weight data of honey can be used to find the relationship between honey production and different ecological parameters, such as bees' foraging behavior and weather conditions. It is expected that the findings can serve as critical information for honey production improvement.
Keywords: Internet of Things, weight, honey, bee
122 Evaluation of Neighbourhood Characteristics and Active Transport Mode Choice
Authors: Tayebeh Saghapour, Sara Moridpour, Russell George Thompson
One of the common aims of transport policy makers is to switch people's travel to active transport. For this purpose, a variety of transport goals and investments should be programmed to increase the propensity towards active transport mode choice. This paper aims to investigate whether built environment features in neighbourhoods could enhance the odds of active transportation. The present study introduces an index measuring public transport accessibility (PTAI), and a walkability index along with socioeconomic variables to investigate mode choice behaviour. Using travel behaviour data, an ordered logit regression model is applied to examine the impacts of explanatory variables on walking trips. The findings indicated that high rates of active travel are consistently associated with higher levels of walking and public transport accessibility.
Keywords: Walkability, public transport accessibility, active transport, ordered logit model
121 An Alternative Approach for Assessing the Impact of Cutting Conditions on Surface Roughness Using Single Decision Tree
Authors: S. Ghorbani, N. I. Polushin
In this study, an approach to identify factors affecting on surface roughness in a machining process is presented. This study is based on 81 data about surface roughness over a wide range of cutting tools (conventional, cutting tool with holes, cutting tool with composite material), workpiece materials (AISI 1045 Steel, AA2024 aluminum alloy, A48-class30 gray cast iron), spindle speed (630-1000 rpm), feed rate (0.05-0.075 mm/rev), depth of cut (0.05-0.15 mm) and tool overhang (41-65 mm). A single decision tree (SDT) analysis was done to identify factors for predicting a model of surface roughness, and the CART algorithm was employed for building and evaluating regression tree. Results show that a single decision tree is better than traditional regression models with higher rate and forecast accuracy and strong value.
Keywords: Decision Tree, surface roughness, cutting condition, CART algorithm
120 A Linear Regression Model for Estimating Anxiety Index Using Wide Area Frontal Lobe Brain Blood Volume
Authors: Takashi Kaburagi, Masashi Takenaka, Yosuke Kurihara, Takashi Matsumoto
Major depressive disorder (MDD) is one of the most common mental illnesses today. It is believed to be caused by a combination of several factors, including stress. Stress can be quantitatively evaluated using the State-Trait Anxiety Inventory (STAI), one of the best indices to evaluate anxiety. Although STAI scores are widely used in applications ranging from clinical diagnosis to basic research, the scores are calculated based on a self-reported questionnaire. An objective evaluation is required because the subject may intentionally change his/her answers if multiple tests are carried out. In this article, we present a modified index called the "multi-channel Laterality Index at Rest (mc-LIR)" by recording the brain activity from a wider area of the frontal lobe using multi-channel functional near-infrared spectroscopy (fNIRS). The presented index aims to measure multiple positions near the Fpz defined by the international 10-20 system positioning. Using 24 subjects, the dependencies on the number of measuring points used to calculate the mc-LIR and its correlation coefficients with the STAI scores are reported. Furthermore, a simple linear regression was performed to estimate the STAI scores from mc-LIR. The cross-validation error is also reported. The experimental results show that using multiple positions near the Fpz will improve the correlation coefficients and estimation than those using only two positions.
Keywords: stress, frontal lobe, functional near-infrared spectroscopy, state-trait anxiety inventory score
119 A Quantification Method of Attractiveness of Stations and an Estimation Method of Number of Passengers Taking into Consideration the Attractiveness of the Station
Authors: Naoya Ozaki, Takuya Watanabe, Ryosuke Matsumoto, Noriko Fukasawa
In the metropolitan areas in Japan, in many stations, shopping areas are set up, and escalators and elevators are installed to make the stations be barrier-free. Further, many areas around the stations are being redeveloped. Railway business operators want to know how much effect these circumstances have on attractiveness of the station or number of passengers using the station. So, we performed a questionnaire survey of the station users in the metropolitan areas for finding factors to affect the attractiveness of stations. Then, based on the analysis of the survey, we developed a method to quantitatively evaluate attractiveness of the stations. We also developed an estimation method for number of passengers based on combination of attractiveness of the station quantitatively evaluated and the residential and labor population around the station. Then, we derived precise linear regression models estimating the attractiveness of the station and number of passengers of the station.
Keywords: attractiveness of the station, estimation method, number of passengers of the station, redevelopment around the station, renovation of the station
118 Performance Study of Neodymium Extraction by Carbon Nanotubes Assisted Emulsion Liquid Membrane Using Response Surface Methodology
Authors: Payman Davoodi-Nasab, Ahmad Rahbar-Kelishami, Jaber Safdari, Hossein Abolghasemi
The high purity rare earth elements (REEs) have been vastly used in the field of chemical engineering, metallurgy, nuclear energy, optical, magnetic, luminescence and laser materials, superconductors, ceramics, alloys, catalysts, and etc. Neodymium is one of the most abundant rare earths. By development of a neodymium–iron–boron (Nd–Fe–B) permanent magnet, the importance of neodymium has dramatically increased. Solvent extraction processes have many operational limitations such as large inventory of extractants, loss of solvent due to the organic solubility in aqueous solutions, volatilization of diluents, etc. One of the promising methods of liquid membrane processes is emulsion liquid membrane (ELM) which offers an alternative method to the solvent extraction processes. In this work, a study on Nd extraction through multi-walled carbon nanotubes (MWCNTs) assisted ELM using response surface methodology (RSM) has been performed. The ELM composed of diisooctylphosphinic acid (CYANEX 272) as carrier, MWCNTs as nanoparticles, Span-85 (sorbitan triooleate) as surfactant, kerosene as organic diluent and nitric acid as internal phase. The effects of important operating variables namely, surfactant concentration, MWCNTs concentration, and treatment ratio were investigated. Results were optimized using a central composite design (CCD) and a regression model for extraction percentage was developed. The 3D response surfaces of Nd(III) extraction efficiency were achieved and significance of three important variables and their interactions on the Nd extraction efficiency were found out. Results indicated that introducing the MWCNTs to the ELM process led to increasing the Nd extraction due to higher stability of membrane and mass transfer enhancement. MWCNTs concentration of 407 ppm, Span-85 concentration of 2.1 (%v/v) and treatment ratio of 10 were achieved as the optimum conditions. At the optimum condition, the extraction of Nd(III) reached the maximum of 99.03%.
Keywords: emulsion liquid membrane, multi-walled carbon nanotubes, response surface method, extraction of neodymium
117 Optimization of Samarium Extraction via Nanofluid-Based Emulsion Liquid Membrane Using Cyanex 272 as Mobile Carrier
Authors: Maliheh Raji, Hossein Abolghasemi, Jaber Safdari, Ali Kargari
Samarium as a rare-earth element is playing a growing important role in high technology. Traditional methods for extraction of rare earth metals such as ion exchange and solvent extraction have disadvantages of high investment and high energy consumption. Emulsion liquid membrane (ELM) as an improved solvent extraction technique is an effective transport method for separation of various compounds from aqueous solutions. In this work, the extraction of samarium from aqueous solutions by ELM was investigated using response surface methodology (RSM). The organic membrane phase of the ELM was a nanofluid consisted of multiwalled carbon nanotubes (MWCNT), Span80 as surfactant, Cyanex 272 as mobile carrier, and kerosene as base fluid. 1 M nitric acid solution was used as internal aqueous phase. The effects of the important process parameters on samarium extraction were investigated, and the values of these parameters were optimized using the Central Composition Design (CCD) of RSM. These parameters were the concentration of MWCNT in nanofluid, the carrier concentration, and the volume ratio of organic membrane phase to internal phase (Roi). The three-dimensional (3D) response surfaces of samarium extraction efficiency were obtained to visualize the individual and interactive effects of the process variables. A regression model for % extraction was developed, and its adequacy was evaluated. The result shows that % extraction improves by using MWCNT nanofluid in organic membrane phase and extraction efficiency of 98.92% can be achieved under the optimum conditions. In addition, demulsification was successfully performed and the recycled membrane phase was proved to be effective in the optimum condition.
Keywords: Nanofluid, response surface methodology, emulsion liquid membrane, samarium, multiwalled carbon nanotubes, cyanex 272
116 Evaluating Factors Influencing Information Quality in Large Firms
Authors: B. E. Narkhede, S. K. Mahajan, B. T. Patil, R. D. Raut
Information quality is a major performance measure for an Enterprise Resource Planning (ERP) system of any firm. This study identifies various critical success factors of information quality. The effect of various critical success factors like project management, reengineering efforts and interdepartmental communications on information quality is analyzed using a multiple regression model. Here quantitative data are collected from respondents from various firms through structured questionnaire for assessment of the information quality, project management, reengineering efforts and interdepartmental communications. The validity and reliability of the data are ensured using techniques like factor analysis, computing of Cronbach's alpha. This study gives relative importance of each of the critical success factors. The findings suggest that among the various factors influencing information quality careful reengineering efforts are the most influencing factor. This paper gives clear insight to managers and practitioners regarding the relative importance of critical success factors influencing information quality so that they can formulate a strategy at the beginning of ERP system implementation.
Keywords: Information Systems, Enterprise Resource Planning, Information Quality, multiple regression
115 Consumption Insurance against the Chronic Illness: Evidence from Thailand
Authors: Yuthapoom Thanakijborisut
This paper studies consumption insurance against the chronic illness in Thailand. The study estimates the impact of household consumption in the chronic illness on consumption growth. Chronic illness is the health care costs of a person or a household's decision in treatment for the long term; the causes and effects of the household's ability for smooth consumption. The chronic illnesses are measured in health status when at least one member within the household faces the chronic illness. The data used is from the Household Social Economic Panel Survey conducted during 2007 and 2012. The survey collected data from approximately 6,000 households from every province, both inside and outside municipal areas in Thailand. The study estimates the change in household consumption by using an ordinary least squares (OLS) regression model. The result shows that the members within the household facing the chronic illness would reduce the consumption by around 4%. This case indicates that consumption insurance in Thailand is quite sufficient against chronic illness.
Keywords: Health Care, Chronic Illness, Thailand, consumption insurance
114 Meta Model for Optimum Design Objective Function of Steel Frames Subjected to Seismic Loads
Authors: Salah R. Al Zaidee, Ali S. Mahdi
Except for simple problems of statically determinate structures, optimum design problems in structural engineering have implicit objective functions where structural analysis and design are essential within each searching loop. With these implicit functions, the structural engineer is usually enforced to write his/her own computer code for analysis, design, and searching for optimum design among many feasible candidates and cannot take advantage of available software for structural analysis, design, and searching for the optimum solution. The meta-model is a regression model used to transform an implicit objective function into objective one and leads in turn to decouple the structural analysis and design processes from the optimum searching process. With the meta-model, well-known software for structural analysis and design can be used in sequence with optimum searching software. In this paper, the meta-model has been used to develop an explicit objective function for plane steel frames subjected to dead, live, and seismic forces. Frame topology is assumed as predefined based on architectural and functional requirements. Columns and beams sections and different connections details are the main design variables in this study. Columns and beams are grouped to reduce the number of design variables and to make the problem similar to that adopted in engineering practice. Data for the implicit objective function have been generated based on analysis and assessment for many design proposals with CSI SAP software. These data have been used later in SPSS software to develop a pure quadratic nonlinear regression model for the explicit objective function. Good correlations with a coefficient, R2, in the range from 0.88 to 0.99 have been noted between the original implicit functions and the corresponding explicit functions generated with meta-model.
Keywords: Design, Seismic Analysis, Steel Frames, objective function, meta-modal
113 The Effect of User Comments on Traffic Application Usage
Authors: I. Gokasar, G. Bakioglu
With the unprecedented rates of technological improvements, people start to solve their problems with the help of technological tools. According to application stores and websites in which people evaluate and comment on the traffic apps, there are more than 100 traffic applications which have different features with respect to their purpose of usage ranging from the features of traffic apps for public transit modes to the features of traffic apps for private cars. This study focuses on the top 30 traffic applications which were chosen with respect to their download counts. All data about the traffic applications were obtained from related websites. The purpose of this study is to analyze traffic applications in terms of their categorical attributes with the help of developing a regression model. The analysis results suggest that negative interpretations (e.g., being deficient) does not lead to lower star ratings of the applications. However, those negative interpretations result in a smaller increase in star rate. In addition, women use higher star rates than men for the evaluation of traffic applications.
Keywords: Regression analysis, Traffic Congestion, traffic app, real–time information, dummy variables
112 Optimum Design of Alkali Activated Slag Concretes for Low Chloride Ion Permeability and Water Absorption Capacity
Authors: Müzeyyen Balçikanli, Erdoğan Özbay, Hakan Tacettin Türker, Okan Karahan, Cengiz Duran Atiş
In this research, effect of curing time (TC), curing temperature (CT), sodium concentration (SC) and silicate modules (SM) on the compressive strength, chloride ion permeability, and water absorption capacity of alkali activated slag (AAS) concretes were investigated. For maximization of compressive strength while for minimization of chloride ion permeability and water absorption capacity of AAS concretes, best possible combination of CT, CTime, SC and SM were determined. An experimental program was conducted by using the central composite design method. Alkali solution-slag ratio was kept constant at 0.53 in all mixture. The effects of the independent parameters were characterized and analyzed by using statistically significant quadratic regression models on the measured properties (dependent parameters). The proposed regression models are valid for AAS concretes with the SC from 0.1% to 7.5%, SM from 0.4 to 3.2, CT from 20 °C to 94 °C and TC from 1.2 hours to 25 hours. The results of test and analysis indicate that the most effective parameter for the compressive strength, chloride ion permeability and water absorption capacity is the sodium concentration.
Keywords: slag, alkali activation, rapid chloride permeability, water absorption capacity
111 Liquidity Risk of Banks in Light of a Dominant Share of Foreign Capital in the Polish Banking Sector
Authors: Karolina Patora
This article investigates liquidity risk management by banks, which has gained significant importance since the global financial crisis of 2008. The issue is of particular interest for countries like Poland, in which foreign capital plays a dominant role. Such an ownership structure poses certain risks to the local banking sector, which faces an increased probability of the withdrawal of funding or assets' transfers abroad in case of a crisis. Both these factors can have a detrimental influence on the liquidity position of foreign-owned banks and hence negatively affect the financial stability of the whole banking sector. The aim of this study is to evaluate the impact of a dominating share of foreign investors in the Polish banking sector on the liquidity position of commercial banks. The study hypothesizes that the ownership structure of the Polish banking sector, in which there are banks predominantly controlled by foreign investors, does not pose a threat to the liquidity position of Polish banks. A supplementary research hypothesis is that the liquidity risk profile of foreign-owned banks differs from that of domestic banks. The sample consists of 14 foreign-owned banks and 5 domestic banks owned by local investors, which together constitute approximately 87% of the banking sector's assets. The data covers the period of 2004–2014. The results of the regression models show no evidence of significant differences in terms of the dynamics of changes of the liquidity buffers between the foreign-owned and domestic banks, although the signs of the coefficients might suggest that the foreign-owned banks were decreasing the holdings of liquid assets at a slower pace over the examined period, compared to the domestic banks. However, no proof of the statistical significance of these findings has been found. The supplementary research hypothesis that the liquidity risk profile of foreign-controlled banks differs from that of domestic banks was rejected.
Keywords: Financial Stability, liquidity risk, foreign-owned banks, liquidity position
110 Quality Parameters of Offset Printing Wastewater
Authors: Kiurski S. Jelena, Kecić S. Vesna, Aksentijević M. Snežana
Samples of tap and wastewater were collected in three offset printing facilities in Novi Sad, Serbia. Ten physicochemical parameters were analyzed within all collected samples: pH, conductivity, m - alkalinity, p - alkalinity, acidity, carbonate concentration, hydrogen carbonate concentration, active oxygen content, chloride concentration and total alkali content. All measurements were conducted using the standard analytical and instrumental methods. Comparing the obtained results for tap water and wastewater, a clear quality difference was noticeable, since all physicochemical parameters were significantly higher within wastewater samples. The study also involves the application of simple linear regression analysis on the obtained dataset. By using software package ORIGIN 5 the pH value was mutually correlated with other physicochemical parameters. Based on the obtained values of Pearson coefficient of determination a strong positive correlation between chloride concentration and pH (r = -0.943), as well as between acidity and pH (r = -0.855) was determined. In addition, statistically significant difference was obtained only between acidity and chloride concentration with pH values, since the values of parameter F (247.634 and 182.536) were higher than Fcritical (5.59). In this way, results of statistical analysis highlighted the most influential parameter of water contamination in offset printing, in the form of acidity and chloride concentration. The results showed that variable dependence could be represented by the general regression model: y = a0 + a1x+ k, which further resulted with matching graphic regressions.
Keywords: Pollution, wastewater, printing industry, simple linear regression analysis
109 Determinants of Profitability in Indian Pharmaceutical Firms in the New Intellectual Property Rights Regime
Authors: Shilpi Tyagi, D. K. Nauriyal
This study investigates the firm level determinants of profitability of Indian drug and pharmaceutical industry. The study uses inflation adjusted panel data for a period 2000-2013 and applies OLS regression model with Driscoll-Kraay standard errors. It has been found that export intensity, A&M intensity, firm's market power and stronger patent regime dummy have exercised positive influence on profitability. The negative and statistically significant influence of R&D intensity and raw material import intensity points to the need for firms to adopt suitable investment strategies. The study suggests that firms are required to pay far more attention to optimize their operating expenditures, advertisement and marketing expenditures and improve their export orientation, as part of the long term strategy.
Keywords: Research and Development, food and drug administration, Indian drug and pharmaceutical industry, trade related intellectual property rights
108 The Role of Banks Funding and Promoting the Foreign Trade: Case of Turkey
Authors: Mikail Altan
International trust takes first place in the development of foreign trade in the country. They see an important role in ensuring that trust. Various payment methods that are developed in the banking system provide fast and reliable way to execution and promote foreign trade by financing the foreign trade. In this study, we investigate the influence of bank on foreign trade in Turkey. 26 years of data for 1990-2015 period have been used in this study. After correlation analysis, a simple regression model was established. Payment methods that are developed in the banking system make a positive contribution in Turkey's foreign trade volume. In addition, the export of Turkey was affected positively more than import's by these payment methods.
Keywords: Export, Foreign Trade, banks, import
107 A Statistical Model for the Geotechnical Parameters of Cement-Stabilised Hightown's Soft Soil: A Case Stufy of Liverpool, UK
Authors: Hassnen M. Jafer, Khalid S. Hashim, W. Atherton, Ali W. Alattabi
This study investigates the effect of two important parameters (length of curing period and percentage of the added binder) on the strength of soil treated with OPC. An intermediate plasticity silty clayey soil with medium organic content was used in this study. This soft soil was treated with different percentages of a commercially available cement type 32.5-N. laboratory experiments were carried out on the soil treated with 0, 1.5, 3, 6, 9, and 12% OPC by the dry weight to determine the effect of OPC on the compaction parameters, consistency limits, and the compressive strength. Unconfined compressive strength (UCS) test was carried out on cement-treated specimens after exposing them to different curing periods (1, 3, 7, 14, 28, and 90 days). The results of UCS test were used to develop a non-linear multi-regression model to find the relationship between the predicted and the measured maximum compressive strength of the treated soil (qu). The results indicated that there was a significant improvement in the index of plasticity (IP) by treating with OPC; IP was decreased from 20.2 to 14.1 by using 12% of OPC; this percentage was enough to increase the UCS of the treated soil up to 1362 kPa after 90 days of curing. With respect to the statistical model of the predicted qu, the results showed that the regression coefficients (R2) was equal to 0.8534 which indicates a good reproducibility for the constructed model.
Keywords: unconfined compressive strength, soft soil stabilisation, geotechnical parameters, cement admixtures, multi-regression model


Jenni Romaniuk is Research Professor and Associate Director (International) of the Ehrenberg-Bass Institute, at the University of South Australia. Jenni's research covers Brand equity, Mental Availability, Brand Health Metrics, Advertising effectiveness, Distinctive assets, Word of mouth and the role of Loyalty and Growth. She is the developer of the Distinctive Asset Grid, which is used by companies around the world to assess the strength andstrategic potential of their brand's distinctive assets. She is also a pioneer in Mental Availability measurement and metrics. Jenni is Executive Editor (International) of the Journal of Advertising Research, and is on the Editorial review board for four other journals. She has published in journals such as the Journal ofBusiness Research, Journal of Marketing Management, Marketing Theory and European Journal of Marketing.Dr Byron Sharp is Professor of Marketing Science, and the Director of the Ehrenberg-Bass Institute, at the University of South Australia. The Ehrenberg-Bass Institute's research is used and financially supported by many of the world's leading corporations, including Coca-Cola, Colgate-Palmolive, First National Bank, General Motors, Procter & Gamble, Turner Broadcasting, CBS, ESPN, and Unilever. Byron's book 'How Brands Grow' was voted marketing book of the year by AdAgereaders in 2013. He has also published over 100 academic papers and is on the editorial board of five journals. He recently co-hosted with Professor Jerry Wind two conferences at the Wharton Business School on the laws of advertising, and co-edited the 2009 and 2013 special issues of the Journal of Advertising Research onscientific laws of advertising. His university textbook 'Marketing: theory, evidence, practice' (Oxford University Press) was released in 2013.