In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

The role of CXCR7, a seven-transmembrane G-protein coupled chemokine receptor, which binds with high affinity to chemokine CXCL11 and CXCL12 in oral cancer cells and the effect of transient CXCR7-downregulation on proliferation and migration of oral squamous cell carcinoma (OSCC) cells have not been reported. The aim of the present study was to evaluate the effects of CXCR7 on an OSCC cell line. In this study, we down-regulated CXCR7 in the KOSCC25B OSCC cell line by siRNA. In vitro cell proliferation and migration assays were used to investigate the effect of CXCR7- downregulation on cell proliferation and migration in si.KOSCC25B cells. The CXCR7 down-regulated OSCC cells grew significantly slower than the negative control siRNA transfected KOSCC25B cells (p<0.05). Additionally, migration of si.KOSCC25B cells decreased significantly compared with non-transfected KOSCC25B cells (p<0.007). These results suggest that down-regulation of CXCR7 induces anti-proliferative and anti-migratory effects in OSCC, and that CXCR7 may be a useful target molecule for the treatment of OSCC.