The Real Origin of a Smile
Researchers from Bangor University studied the economic value of a smile. They concluded that a smiling person is worth one third of a penny. The reason for this value is unclear but it may be because a happy person will make others more happy and may even encourage them to spend more money. This value is not only a positive psychological trait, but it is also a good way to boost sales. People are known to spend more money when they are smiling.
A smile is a universal social response, which can be explained by the upturning of the corners of the mouth. It is also an indicator of how engaged a person is with a situation or other people. It can be said that we smile to express our feelings or be appreciated. Regardless of whether we are expressing our sentiments, a smile can do the job. So, it is imperative to have an appropriate smile in all situations.
While the real Devil Fruit only has one animal, a SMILE can have multiple copies of the same animal. Using the SMILE language, a person can have a snake growing out of their navel, or have the hand of a devil. Similarly, they can have the eyes of a monkey or a lion. This is very useful in the world of anthropology. If you’d like to know the real origin of smiling, then read on.
The SMILE language is based on a LR-1 grammar. It’s parsable extremely well, and is processed in a stream. This means that a user never has to “back up” to decipher what the other person is trying to say. This is an important aspect when it comes to developing a SMILE language, and the researchers have just the thing. And now they know why the smile is so important.
A SMILE user’s smile can be the same animal as the real thing. The SMILE is an artificial version of the Devil Fruit. This is not a fruit, but a SMILE can be made from the DNA of a human, making it a fake one. It is a synthetic form of the word ‘devil’. Its formal grammar is a LR-1. It is extremely efficient when it comes to processing, so it is best to learn SMILES by heart!
The grammar of a SMILES is composed of a set of production rules. Each production rule describes a particular string transformation. Each of these transformations is named. These atoms are a ‘wildcard’, and should be defined as such in a new SMILES grammar. The LR-1 form is the most commonly used of the two, though the SMILES language is more flexible than a standard LR-1, and it can be viewed as a “second-order” language.