• Biomolecules & Therapeutics
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• v.23 no.3
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• pp.261-267
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• 2015

Pioglitazone (PGZ), a synthetic peroxisome proliferator-activated receptor ${\gamma}$ agonist, is known to regulate inflammatory process and to have neuroprotective effects against neurological disorders. In the present study, we examined the effects of 30 mg/kg PGZ on excitotoxic neuronal damage and glial activation in the mouse hippocampus following intracerebroventricular injection of kainic acid (KA). PGZ treatment significantly reduced seizure-like behavior. PGZ had the neuroprotective effect against KA-induced neuronal damage and attenuated the activations of astrocytes and microglia in the hippocampal CA3 region. In addition, MPO and $NF{\kappa}B$ immunoreactivities in the glial cells were also decreased in the PGZ-treated group. These results indicate that PGZ had anticonvulsant and neuroprotective effects against KA-induced excitotocix injury, and that neuroprotective effect of PGZ might be due to the attenuation of KA-induced activation in astrocytes and microglia as well as KA-induced increases in MPO and $NF{\kappa}B$.

• Macromolecular Research
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• v.17 no.9
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• pp.703-708
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• 2009

Silk fibroin scaffolds were examined as a biomaterial option for tissue-engineered cartilage-like tissue. In tissue engineering for cartilage repair using a scaffold, initial chondrocyte-material interactions are important for the following cell behaviors. In this study, the surface of nanofibrous silk fibroin (NSF) meshes was modified by a microwave-induced argon plasma treatment in order to improve the cytocompatibility of the meshes used as cartilaginous grafts. In addition, the effects of a plasma treatment on the cellular behavior of chondrocytes on NSF were examined. The plasma treatment resulted in an increase in the hydrophilicity of NSF meshes suggesting that the cytocompatibility of the mesh might be improved. Furthermore, the human articular chondrocytes showed higher viability on the surface-modified NSF meshes. These results suggest that the surface modification of NSF meshes by plasma can enhance the cellular behavior of chondrocytes and may be used in tissue engineering.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.569-578
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• 2015

With much changes in men's appearance style to pursue, beauty care activities, and pursuing value, it has been required to have researches on it. This study analyzed men's acceptance of information about beauty care and also the characteristics of each pursuing value. An online survey was conducted targeting about 500 male office workers in Seoul. In the results of the study, the pursuit of the practical value of five beauty care activities was the highest while the aesthetic value was very differently shown in accordance with the types of beauty care activities, compared to two other values. Contrary to other styles, especially, the acceptance of the skin care style was influenced by the sociocultural value, practical value, and aesthetic value. Especially, the passivity of the aesthetic value and the emphasis on the practical and sociocultural values were shown. The hair care was influenced by the practical value while the plastic surgery was influenced by the aesthetic value. In the care style area, the acceptance of skin care was only influenced by the pursuit of complex values. Regarding the marketing of each care style, the large-scale marketing campaign would be effective for the hair care while it would be necessary to seek for more aesthetic campaigns for the plastic surgery business.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.22 no.1
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• pp.15-21
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• 2000

Ameloblasotma is slowly growing, locally invasive neoplasm with a potentially destructive behavior. The epithelium of ameloblastoma is thought to have an intrinsic growth potential and has been shown to present a higher rate of proliferation as compared to odontogenic cysts with low local recurrence rate. The molecular mechanisms that regulate the cell growth and invasion of ameloblastoma cells are unknown. Bcl-2 protein, which prevent apoptosis, is expressed in immortalized ameloblastoma cell line(AM-1)(Harada et al 1998). Expression of bcl-2 protein occurs in tooth germs, whose epithelial component may act as the histogenic precursor of ameloblastoma. Bax is considered as a main effector of apoptosis. Bax forms homodimers and also heterodimers with bcl-2. p53 tumor supressor gene participates not only in cell proliferation control but also in induction of apoptosis. The objective of the present study was to evaluate the apoptosis related protein expression in odontogenic cyst and ameloblastoma. A total of 10 dentigerous cysts and 16 ameloblastomas were used in the present study. Dentigerous cyst showed negative or slight positive for p53 and bcl-2 but strongly positive for bax, ameloblastoma, on the other hand, strongly positive for p53 and bcl-2 but weekly positive for bax. Bcl-2 was expressed for ameloblastoma mainly in outer layer or whole layer of epithelium and for dentigerous cyst mainly in basal layer. The difference in expression of apoptosis related protein in dentigerous cyst and ameloblastoma might explain the peculiar aggressive growth pattern of ameloblastoma.

• Polymer(Korea)
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• v.38 no.3
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• pp.333-337
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• 2014

PVC (polyvinyl chloride) intravenous fluid bags and tubes that contain DEHP (diethylhexyl phthalate) as a plasticizer have several associated disadvantages for intravenous injections. We investigated the drug absorption behaviors on the inner surface of an infusion tube that consisted of commercialized PVC/PU (polyurethane). We developed a non-PVC (polyolefin) tube in order to improve the efficacy of this drug administration method. We prepared four types of non-PVC (polyolefin) infusion tubes using a polyethylene (PE), polypropylene (PP), syndiotactic 1,2-polybutadiene (PB), and styrene-ethylene (SE) copolymer elastomers were prepared using a single screw extruder. The four types of manufactured non-PVC (polyolefin) infusion tubes had good mechanical properties that were equivalent to PVC tube properties. The four types of prepared non-PVC (polyolefin) infusion tubes also prohibited drug absorption when compared to the commercialized PVC and PU tubes. Therefore, based on the results of this study, prepared non-PVC (polyolefin) tubes are good candidates for infusion because they prevent drug absorption and the release of DEHP.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.