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데이터 마이닝 기법을 활용한 스포츠센터 고객 이탈 가능성 예측 모형 개발
박진기,김장환 한국스포츠리서치 2003 한국 스포츠 리서치 Vol.14 No.4
The purpose of this study was to serve as a basis for more successful management of defector customers by fitness club through data mining, by seeking defection-based customer segment for fitness club monthly members and forecasting the probabilities of defection. SPSS Clementine's C5.0 decision-making tree analysis, a data mining tool, was utilized to explore defection-based customer segment by fitness club and examine the defection probabilities. Collectively, the above-mentioned findings suggested that age, job, usage type and consumer complaint behavior were the important segmentation variables that affected the defection of the members of a fitness club, and that the rate of prediction based on these variables were very high. In particular, data partition appeared to be remarkably reliable and valid in analyzing and predicting the membership defection. And C5.0 was found to be more effective than Neural Networks, logistic regression analysis or CART in the final stage of developing the fitness club membership defection prediction. Particularly, suggested models of fitness club membership defection prediction, which was drawn up through segmenting the customers according to the classification rules of the decision tree, are Models (1), (2). The fitness club membership defection models developed by C 5.0, a data mining tool, would empower fitness club management or decision makers to prevent membership defection and to manage customers more efficiently. Applying these prediction models to customer management and business strategy, fitness club management or decision makers will be able to maximize the effects of customer-relations marketing. Customer segmentation using the existing customer information would make it possible to figure out the characteristics of those who discontinue their membership. Finally, data mining is necessary in orienting the marketing strategies and activities in the sports consumer market so that they satisfy the actual needs of the market. In this connection, it is confirmed that data mining could be introduced to this market as part of the customer retention marketing efforts.
High-dose lipopolysaccharide induced autophagic cell death in bovine mammary alveolar cells
박진기,여준모,조광현,박현정,이원영 사단법인 한국동물생명공학회 2022 Journal of Animal Reproduction and Biotechnology Vol.37 No.3
Bovine mammary epithelial (MAC-T) cells are commonly used to study mammary gland development and mastitis. Lipopolysaccharide is a major bacterial cell membrane component that can induce inflammation. Autophagy is an important regulatory mechanism participating in the elimination of invading pathogens. In this study, we evaluated the mechanism underlying bacterial mastitis and mammary cell death following lipopolysaccharide treatment. After 24 h of 50 μg/mL lipopolysaccharide treatment, a significant decrease in the proliferation rate of MAC-T cells was observed. However, no changes were observed upon treatment of MAC-T cells with 10 μg/mL of lipopolysaccharide for up to 48 h. Thus, upon lipopolysaccharide treatment, MAC-T cells exhibit dose-dependent effects of growth inhibition at 10 μg/mL and death at 50 μg/mL. Treatment of MAC-T cells with 50 μg/mL lipopolysaccharide also induced the expression of autophagy-related genes ATG3, ATG5, ATG10, ATG12, MAP1LC3B, GABARAP-L2, and BECN1. The autophagy-related LC3A/B protein was also expressed in a dose-dependent manner upon lipopolysaccharide treatment. Based on these results, we suggest that a high dose of bacterial infection induces mammary epithelial cell death related to autophagy signals.
Importance of Thermoregulation in Farrowing Houses for Improving Pig Production Efficiency in Korea
박진기,조광현,여준모,김동욱,성필남,이원영 공주대학교 자원과학연구소 2023 자원과학연구 Vol.5 No.1
South Korean summers are hot and humid, negatively affecting the pig industry. This study investigated the effects of season on farrowing rate, litter size, litter per sow per year, and piglets per sow per year on pig farms. The data were collected from local pig farms in Jeongeup-si, South Korea. The four seasons were classified as spring (March-May), summer (June-August), fall (September-November), and winter (December-February). The temperatures of the farrowing houses in summer differed for each of the four pig farms analyzed. Farm 1 and farm 2 regulated their temperatures. In contrast, farm 3 and farm 4 did not control their temperatures. Consequently, the pig production efficiency of farm 1 and farm 2 did not differ between the four seasons. Although the farrowing rate and litter size did not differ with the season, the number of weaning piglets was significantly reduced in the summer on farm 3 and farm 4. In farm 3, the farrowing interval was significantly increased, and the litter per sow per year was the highest in winter. In addition, the litter per sow per year was significantly lower in the summer at farm 4. Furthermore, the number of piglets per sow per year was significantly reduced in the summer at farm 3 and farm 4. These data indicate that the thermoregulation of farrowing houses during the summer is important for efficient pig production in Korea.