The 4-n-butylresorcinol DMN patch was effective and safe for skin depigmentation through targeting melanocytes and could be a useful functional cosmetic product.

The aim of this study is to demonstrate the make-up culture of women by disclosing attitudes of make-up as to whether there will be differences or not according to personal weight interests & self-image. The study was performed with 218 consecutive women between the ages of 30 and 50 over 2 months from April 10th, 2012 till May 30th, 2012. The results were as follows. First, regarding make-up attitudes according to concerns of weight interests and self-image, there is no difference of make-up attitude by sophisticated image and pure image in case of weight concern. But there is a significant difference of make-up attitudes by concerns of weight interests in activities image. Second, highly populated group of sophisticated image, pure image, and active image has more activities of make-up attitudes. The higher concerns of appearance and the higher self-image, there was more positive attitude of make-up. Third, highly populated group of pure image and active image has more positive attitude of make-up in case of higher physical attractiveness.

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The purpose of this study was to identify the social phenomena of tattoo, which have been of constant interest in our society, through analysis of social networks collected from big data on what the social phenomena implied in keywords emphasized in newspaper articles over the past year. To this end, by analyzing keywords about tattoos that frequently appeared in newspaper articles, we could see what the main interests of social phenomena related to tattoos were. Data on tattoos were collected from newspaper articles over the past year and analyzed how they formed meaning regarding the relationship structure and centrality between the keywords at issue through social network analysis. These findings provide basic data on social discussions and policy directions related to tattoos in practice and discussions related to ways to improve them. This study is an extension from existing quantitative research by analyzing the social phenomena of tattoos through Bigdata and social network analysis. Apart from statistical surveys or subjective qualitative research, we have approached them with content analysis using big data and social network analysis. The conclusion of this study is as follows. First, as a result of analyzing the word cloud regarding tattoos, it was confirmed that “rose” and “300” were the most prominent, and there were keywords that could analyze various other social phenomena. Second, as a result of analysis by connection centrality, it was proved that the social interest and popularity of tattoos increased. Third, as a result of analysis by eigenvector centrality, the popularity of tattoos was proved. It objectified academic research by attempting research from a different perspective from the analysis of research trends and provided visualized research results of readers.

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