DEVELOPMENT OF A K-NN MODEL TO PREDICT THE POLARITY OF KOREAN GAME REVIEW COMMENTS

The purpose of this paper is to develop the machine learning model to evaluate game software in quantitative scale using opinion mining with the review comments which are provided by users in Korean. To do this, we first decompose the review comments into a lot of meaningful morphemes, and second construct a dictionary for opinion mining. Third, we develop a k-NN model to predict the polarity of review comment. Finally, we predict the polarity for each review comment which is included in validation data set by the model. The experimental results of the developed model are performed by the model which is implemented by JAVA and R language

Transcription-induced active forces suppress chromatin motion by inducing a transient disorder-to-order transition

Recent experiments have shown that the mobility of human interphase chromosome decreases during transcription, and increases upon inhibiting transcription, a finding that is counter-intuitive because it is thought that the active mechanical force ($F$) generated by RNA polymerase II (RNAPII) on chromatin would render it more open and mobile. Inspired by these observations, we use a copolymer model to investigate how $F$ affects the dynamical properties of a single chromatin. The movements of the loci in the gene-rich region are suppressed in an intermediate range of $F$, and are enhanced at small and large $F$ values. In the intermediate $F$, the bond length between consecutive loci increases, becoming commensurate with the location of the minimum in the attractive interaction between the active loci. This results in a transient disorder-to-order transition, leading to the decreased mobility during transcription. Transient ordering of the loci in the gene-rich region might be a mechanism for nucleating a dynamic network involving transcription factors, RNAPII, and chromatin.Comment: 6 pages, 4 figures, Supplemental Materia

Bringing Students with Low Agreeableness to Attend Collegiate Sports: A Moderated Mediation Model with Team Identification and Student Involvement

In a college athletics setting, we investigated a moderated mediation model of the effect of team identification on attendance intention where student involvement was the mediator and agreeableness was the moderator. Results showed that student involvement mediated the relationship between team identification and attendance intention, and agreeableness moderated the effect of student involvement on attendance intention. In particular, the interaction effect by agreeableness indicated how less agreeable students would be more willing to attend games when they are more involved in campus activities. Details of this study, including theoretical and practical implications, research limitations, and future directions, are discussed

Genome sequence of the chromate-resistant bacterium Leucobacter salsicius type strain M1-8T

Leucobacter salsicius M1-8(T) is a member of the Microbacteriaceae family within the class Actinomycetales. This strain is a Gram-positive, rod-shaped bacterium and was previously isolated from a Korean fermented food. Most members of the genus Leucobacter are chromate-resistant and this feature could be exploited in biotechnological applications. However, the genus Leucobacter is poorly characterized at the genome level, despite its potential importance. Thus, the present study determined the features of Leucobacter salsicius M1-8(T), as well as its genome sequence and annotation. The genome comprised 3,185,418 bp with a G+C content of 64.5%, which included 2,865 protein-coding genes and 68 RNA genes. This strain possessed two predicted genes associated with chromate resistance, which might facilitate its growth in heavy metal-rich environments.