TOWARDS BUILDING A CHATBOT-BASED FIRST AID SERVICE IN ARABIC LANGUAGE
1. Introduction
More than a century ago, a German biologist named Frederich Miescher began a thorough investigation of deoxyribonucleic acid (DNA) and revealed that DNA is the smallest element in living cells, as discussed by Dahm. In the form of the chemical compound deoxyribonucleic acid, which was later known to be different from the chemical compound protein, Frederich Miescher's research at that time discovered the chemical structure of DNA. A new genetic sequence is then created when two DNA molecules from different sources come together in a process known as DNA recombination. Genetic diversity, evolution, and repair of damaged DNA all depend heavily on these mechanisms. Gartner et al., stated that DNA repair and DNA recombination are very important in combating DNA damage caused by internal and external sources. According to Head, in the context of the DNA recombination process, the initial string that is spliced according to certain rules in the splicing system will produce a set of words, assuming that well-formed dsDNA is considered a splicing language. Several authors agree that the resulting language can be in the context of a temporary language, mature language, or borderline language. The formation of each type of splicing language depends on the number of DNA strings involved in a system and the enzyme sequence restrictions on the string. For example, the reaction of non-palindromic rules on single strings would produce both mature and finite languages as discussed by Sarmin and Fong. Previously, several studies had been carried out adopting various types of graphs both for presents a connection system and a connection language. This can be seen from the review in-depth DNA splicing system from a graph perspective carried out by Mohd Ruslim et al., for example boundary graphs, de Bruijn graphs and cycle graphs. In this paper, the formation of a splicing language from a wet model is represented in a directed splicing graph. Characterization of connection languages using directed connection graphs is a method of deep improvisation shows a more precise language connection taken from Laun and Reddy who first verified the dry model results presented in Head.
2. Discussion
Results In this section, the results of the Laun experiment are discussed in two cases, motivated by the characteristics of restriction enzymes, namely palindromic and non-palindromic. This was to see whether directed splicing graphs could predict the formation of other types of language depending on the characteristics of restriction enzymes, beyond those obtained in previously carried out experiments. Case 1 is represented by Laun and Reddy, where an experiment was carried out and results were obtained. Meanwhile, Case 2 is also taken from Laun and Reddy [18], but the experiment has not been carried out but the results have been predicted.
3. Conclusion
In this paper, two cases are discussed. Case 1 and Case 2 taken from Laun and Reddy [18] represented in a directed splicing graph. The connecting language obtained from Case 1 and Case 2 is each containing two initial strings with two nonpalindromic rules and two palindromic rules illustrated in the form of a directed splice graph. The results suggest a more precise type of connection language that is beyond transient language, adult language, and borderline language. The splicing language is characterized by comparison with the results of Yusof [14]. From the previous section it can be seen that the characterization of the type of splice language also depends on the characteristics of restriction enzymes where palindromic restriction enzymes will suggest the existence of an active persistent language when the splice language is presented in a directed splice graph. . In the future, other types of graphs may be considered to characterize the type of splicing language. In addition, a more effective approach could be considered in determining the type or behavior of language linking, for example by using a graphical user interface. This simulator will benefit more users from various fields because it can reduce time, costs and provide more accurate output as stated by Syed Abdul Nasir et al.
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