• Journal of Pharmaceutical Investigation
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• 제27권4호
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• pp.323-329
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• 1997

Ipriflavone is non-hormonal antiosteoporotic drug which inhibits bone resorption by reducing recruitment and/or differentiation of osteoclasts, and stimulates proliferation and differentiation of osteoblast, and also enhances calcitonin secretion in the presence of estrogen. Although some kinds of immediately-released preparation of ipriflavone are available in commercial market, in present study, we tried to formulate sustained-release tablet using coating method with hydrophobic and hydrophilic coating materials. In vitro dissolution test was applied to evaluate sustained-release patterns of several test preparations (Test tablet A, B and C) designed using different preparation method or different compositions. From the results of dissolution test, test tablet A which showed suitable dissolution profile was selected as the candidate of new product. Pharmacokinetic evaluation of test drug, ipriflavone sustained-release tablets, was conducted in 6 beagle dogs weighing $11.5{\pm}0.5\;Kg$ compared with $Theobon^{\circledR}$ tablet, immediately-released tablet (Kukjae Pharm. Co.) as reference drug. Two products were randomly administered to 6 beagle dogs, and after 1 week, cross-over study was conducted. From the present study, AUC and $T_{max}$ of test product were significantly different from those of reference product (p<0.05), respectively$(AUC\;:\;3646.28{\pm}472.56\;vs\;3646.28{\pm}472.56\;ng{\cdot}hr/ml,\;T_{max}\;:\;4.33{\pm}1.03\;vs\;1.42{\pm}0.38\;hr)$. But $C_{max}$ was not significantly different between two products (p>0.05) $(\;512.52{\pm}48.18\;vs\;443.97{\pm}140.53\;ng/ml)$. From the results of pharmacokinetic evaluations, it was noted that absorption amount of test product was increased, but absorption rate was delayed and $C_{max}$ of two products were not changed. And it was concluded that redesign of the sustained-release preparation which has a lower content of iprifavone rather than test tablet A must be considered.

• 산업경영시스템학회지
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• 제38권4호
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• pp.80-87
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• 2015

The proliferation of the Internet and communication technologies and applications, besides the conventional retailers, has led to a new form of distribution channel, namely home sopping through the telephone, TV, catalog or the Internet. The conventional and new distribution channels have different transaction costs perceived by the consumers in the following perspectives: the accessibility to the product information, the traffic cost and the opportunity cost for the time to visit the store, the possibility of 'touch and feel' to test the quality of the product, the delivery time and the concern for the security for the personal information. Difference in the transaction costs between the distribution channels results in the different selling prices even for the same product. Moreover, distribution channels with different selling prices necessarily result in different business surpluses. In this paper, we study the multilateral bargaining strategy of a manufacturer who sells a product through multiple distribution channels with different transaction costs. We first derive the Nash equilibrium solutions for both simultaneous and sequential bargaining games. The numerical analyses for the Nash equilibrium solutions show that the optimal bargaining strategy of the manufacturer heavily depends not only on the degree of competition between the distribution channels but on the difference of the business surpluses of the distribution channels. First, it is shown that there can be four types of locally optimal bargaining strategies if we assume the market powers of the manufacturer over the distribution channels can be different. It is also shown that, among the four local optimal bargaining strategies, simultaneous bargaining with the distribution channels is the most preferred bargaining strategy for the manufacturer.

• 정보화정책
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• 제23권4호
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• pp.59-75
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• 2016

융복합 시대에 정보통신기술(ICT)을 통해 금융거래 패러다임의 혁신을 꾀하고자 하는 핀테크의 발달이 주목받고 있다. 금융관련 서비스를 모바일 및 정보통신기술과 접목하려는 핀테크의 확산은 단순한 결제 및 송금서비스 외에 대출, 투자, 자산관리 등 보다 다양한 영역으로 확대되고 있으나 소비자들의 인식이 낮은 편이다. 따라서 다양한 핀테크 비즈니스에 관한 연구의 필요성이 요구되어지는 시점이다. 본 논문은 핀테크 사용자들의 지속사용의도에 어떠한 요인들이 영향을 미치는지를 소비자 관점의 실증연구를 수행하였다. 사용자특성 측면에서 보면, 혁신성은 만족도에 통계적으로 유의한 영향을 미치지 않는 것으로 나타났다. 또한 제품특성 측면에서는 지각된 위험은 만족도에 통계적으로 유의하지 않게 나타났다.

• 한국자원식물학회지
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• 제22권4호
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• pp.312-316
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• 2009

In the present study, the anti-cancer activity of 80% ethanol extracts from 120 kinds of medicinal herbs and native plants were investigated. Among them, the barks of Melia azedarach L. var. japonica Makino showed the highest cytotoxicity in HCT-15 human colon cancer cell. With this result, we carried out hollow fiber (HF) assay and anti-metastasis study to confirm the anti-cancer effects of M. azedarach var. japonica. In MTT assay, M. azedarach var. japonica.inhibited the proliferation of HCT-15 cells in dose-dependent manner. HF assay was carried out using A549 human adenocarcinoma cell, HCT-15 and SK-Hep1 human liver cancer cell via intraperitoneal (IP) and subcutaneous (SC) site. As a results, SK-Hep1 implanted in IP site showed the highest cytotoxicity. The result from metastatic model using B16/BL6 mouse corresponded to that of HF assay. These results suggest that the ethanol extract from M. azedarach var. japonica. might have a potent anti-cancer activity and advanced study is needed for the development of novel natural anti-cancer drug.

• Journal of the Korean Wood Science and Technology
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• 제51권5호
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• pp.358-380
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• 2023

The intestinal microbiota plays a crucial role in determining human health, rendering it a major focus of scientific investigation. Rather than eliminating all microbes, promoting the proliferation of beneficial microorganisms within the gut has been recognized as a more effective approach to improving health. Unfavorable conditions potentially alter gut microbial populations, including a reduction in microbial diversity. However, intentionally enhancing the abundance of beneficial gut microbes can restore a state of optimal health. Polysaccharides are widely acknowledged for their potential to improve the gut microbiota. This review emphasizes the findings of recent studies examining the effects of forest product-derived polysaccharides on enhancing the gut microbiota and alleviating inflammation, diabetes symptoms, and obesity. The findings of several studies reviewed in this paper strongly suggest that forest products serve as an excellent dietary source for improving the gut microbiota and potentially offer valuable dietary interventions for chronic health problems, such as inflammation, diabetes, and obesity.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.143-143
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• 2022

Precipitation plays an essential role in water resources management and disaster prevention. Therefore, the understanding related to spatiotemporal characteristics of rainfall is necessary. Nowadays, highly accurate precipitation is mainly obtained from gauge observation systems. However, the density of gauge stations is a sparse and uneven distribution in mountainous areas. With the proliferation of technology, satellite-based precipitation sources are becoming increasingly common and can provide rainfall information in regions with complex topography. Nevertheless, satellite-based data is that it still remains uncertain. To overcome the above limitation, this study aims to take the strengthens of machine learning to generate a new reanalysis of precipitation data by fusion of multiple satellite precipitation products (SPPs) with gauge observation data. Several machine learning algorithms (i.e., Random Forest, Support Vector Regression, and Artificial Neural Network) have been adopted. To investigate the robustness of the new reanalysis product, observed data were collected to evaluate the accuracy of the products through Kling-Gupta efficiency (KGE), probability of detection (POD), false alarm rate (FAR), and critical success index (CSI). As a result, the new precipitation generated through the machine learning model showed higher accuracy than original satellite rainfall products, and its spatiotemporal variability was better reflected than others. Thus, reanalysis of satellite precipitation product based on machine learning can be useful source input data for hydrological simulations in ungauged river basins.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.1-17
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• 2023

Purpose The proliferation of data on the internet has created a need for innovative methods to analyze user satisfaction data. Traditional survey methods are becoming inadequate in dealing with the increasing volume and diversity of data, and new methods using unstructured internet data are being explored. While numerous comment-based user satisfaction studies have been conducted, only a few have explored user satisfaction through video and audio data. Multimodal sentiment analysis, which integrates multiple modalities, has gained attention due to its high accuracy and broad applicability. Design/methodology/approach This study uses multimodal sentiment analysis to analyze user satisfaction of iPhone and Samsung products through online videos. The research reveals that the combination model integrating multiple data sources showed the most superior performance. Findings The findings also indicate that price is a crucial factor influencing user satisfaction, and users tend to exhibit more positive emotions when content with a product's price. The study highlights the importance of considering multiple factors when evaluating user satisfaction and provides valuable insights into the effectiveness of different data sources for sentiment analysis of product reviews.

• 산업경영시스템학회지
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• 제46권4호
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• pp.101-106
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• 2023

With the recent surge in YouTube usage, there has been a proliferation of user-generated videos where individuals evaluate cosmetics. Consequently, many companies are increasingly utilizing evaluation videos for their product marketing and market research. However, a notable drawback is the manual classification of these product review videos incurring significant costs and time. Therefore, this paper proposes a deep learning-based cosmetics search algorithm to automate this task. The algorithm consists of two networks: One for detecting candidates in images using shape features such as circles, rectangles, etc and Another for filtering and categorizing these candidates. The reason for choosing a Two-Stage architecture over One-Stage is that, in videos containing background scenes, it is more robust to first detect cosmetic candidates before classifying them as specific objects. Although Two-Stage structures are generally known to outperform One-Stage structures in terms of model architecture, this study opts for Two-Stage to address issues related to the acquisition of training and validation data that arise when using One-Stage. Acquiring data for the algorithm that detects cosmetic candidates based on shape and the algorithm that classifies candidates into specific objects is cost-effective, ensuring the overall robustness of the algorithm.

• Asian-Australasian Journal of Animal Sciences
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• 제21권10호
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• pp.1486-1494
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• 2008

The objective of this experiment was to compare the effects of green tea by-product and green tea probiotics on the growth performance, meat quality and immune response of finishing pigs. A total of 72 crossbred "Landrace$\times$Yorkshire" finishing pigs with an average of 76 kg body weight were assigned to 4 dietary treatments in a completely randomized design. Each treatment had 3 replications with 6 pigs per replication. The four dietary treatments were control, antibiotics (control diet with 0.003% chlortetracycline added), and diets containing 0.5% green tea by-product or 0.5% green tea probiotic supplementation. Weight gain was increased in 0.5% green tea probiotics treatment compared to others, but there was no significant difference (p>0.05). The incorporation of 0.5% green tea probiotics to diets reduced the feed conversion ratio in finishing pigs (p>0.05). The incorporation of 0.5% green tea by-product into the pig diet reduced the crude protein and fat contents of the meat (p>0.05). Pigs fed diets containing 0.5% green tea probiotic supplementation had lowered meat TBA values compared to those fed 0.5% green tea by-product (p<0.05). The proliferation of spleen cells stimulated with Con A (concanavalin: 0.1, 0.3, and $1.0{\mu}g/ml$) significantly increased with 0.5% green tea by-product treatment compared to antibiotic treatment (p<0.05), but was significantly decreased in 0.5% green tea probiotics treatment compared to the antibiotic treatment (p<0.05). When stimulated with $1.0{\mu}g/ml$ Con A, splenocyte production of IL-6 from pigs treated with 0.5% green tea by-product or green tea probiotics was significantly increased compared to the antibiotic treatment group (p<0.05). Splenocyte production of TNF-${\alpha}$ after treatment with $1.0{\mu}g/ml$ Con A was significantly higher following 0.5% green tea probiotics treatment (p<0.05), while TNF-${\alpha}$ production after $10.0{\mu}g/ml$ LPS (lipopolysaccharide) was significantly higher in the 0.5% antibiotic treatment group (p<0.05).

• 한국식품영양과학회지
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• 제46권9호
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• pp.1027-1034
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• 2017

본 연구에서는 잣피 20% 주정 추출물을 첨가한 식이로 하여 바이러스에 감염되어 면역력이 결핍된 마우스에서 면역조절 효과를 확인하고자 T, B 세포의 증식능, Th1 type cytokine과 Th2 type cytokine, NK cell activity, phagocytic activity를 확인하였다. 바이러스로 인하여 AIDS와 유사하게 면역 결핍된 마우스 모델에서 cytokine의 불균형과 T 세포와 B 세포의 proliferation이 균형적으로 회복됨을 확인하였고 바이러스로 인해 자연살해세포와 대식세포의 활성능이 감소하였지만 잣피 20% 주정 추출물의 공급 시 활성능 회복에 도움을 주는 것을 확인하였다. 따라서 잣피 20% 주정 추출물은 LP-BM5 virus로 유도한 면역 결핍 마우스 모델에서 면역조절작용에 효능이 있음을 확인하였다.