• The Korean Ginseng Research and Industry
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• v.1 no.1
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• pp.13-18
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• 2007

• The Korean Journal of Physiology and Pharmacology
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• v.20 no.2
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• pp.161-168
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• 2016

Abnormal localization of tumor suppressor proteins is a common feature of renal cancer. Nuclear export of these tumor suppressor proteins is mediated by chromosome region maintenance-1 (CRM1). Here, we investigated the antitumor effects of a novel reversible inhibitor of CRM1 on renal cancer cells. We found that S109 inhibits the CRM1-mediated nuclear export of RanBP1 and reduces protein levels of CRM1. Furthermore, the inhibitory effects of S109 on CRM1 is reversible. Our data demonstrated that S109 significantly inhibits proliferation and colony formation of renal cancer cells. Cell cycle assay showed that S109 induced G1-phase arrest, followed by the reduction of Cyclin D1 and increased expression of p53 and p21. We also found that S109 induces nuclear accumulation of tumor suppressor proteins, Foxo1 and p27. Most importantly, mutation of CRM1 at Cys528 position abolished the effects of S109. Taken together, our results indicate that CRM1 is a therapeutic target in renal cancer and the novel reversible CRM1 inhibitor S109 can act as a promising candidate for renal cancer therapy.

• Spatial Information Research
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• v.11 no.1
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• pp.61-72
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• 2003

LBS has attracted considerable attention with the spread of high performance mobile devices and the expansion of mobile business. Our study starts from the recognition of the problems associated with the current mobile Sales Force Automation(SFA) which is one of the application domain of LBS: they lack the capabilities such as an efficient sharing of information. This paper presents a technical framework in which the location information on the move and the mobile P2P service are utilized for the realization of truly mobile SF A platforms. Major contributions of our study include feasible prototyping of gCRM middleware via which the location-based services on the move are enabled, and a agent module involving the P2P service for mobile clients.

• International Journal of Highway Engineering
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• v.18 no.2
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• pp.1-9
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• 2016

PURPOSES : The performance properties (indirect tensile strength, rutting resistance, and resilient modulus) of recycled aged CRM mixtures and their correlation with Superpave binder properties (viscosity, high failure temperature, $G^*sin{\delta}$, and stiffness) were investigated. METHODS: A series of Superpave binder tests was performed by using a rotational viscometer, DSR, and BBR to evaluate the performance properties. In addition, the CRM mixes were artificially aged through accelerated aging processes, and their properties were evaluated. The correlation between the properties of recycled aged CRM binders and the engineering properties of recycled aged CRM mixtures was experimentally determined. RESULTS : The rut depth values decreased and the ITS values increased with increasing high failure temperature. In general, the resilient modulus properties seemed to be poorly correlated with the high-temperature values, regardless of the aggregate source. CONCLUSIONS: The recycled aged CRM binders and mixtures can lead to satisfactory performance, and the properties of these binders are strongly correlated with the engineering properties of the mixtures.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.415-416
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• 2015

This paper deal with a CRM control method of DC-DC converter of increase its performance. It allows high speed switching in critical current region when driving converter to improve efficiency of converter. The validity of the theory is verified by the comparison of the simulation results proposed between method and conventional method.

• Journal of the Korean Society of Food Science and Nutrition
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• v.43 no.11
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• pp.1796-1800
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• 2014

Trienzyme digestion (AOAC Official Method 2004.05) procedure using protease, ${\alpha}$-amylase, and chicken pancreas conjugase was evaluated to determine its usefulness in the microbiological quantitation of total folate in foods. Folate values obtained by alkali hydrolysis (Korean Food Standards Codex) were compared to those obtained by the trienzyme method for four certified reference materials (CRM) representing diverse matrixes. Trienzyme treatment increased measurable folate from most CRM compared to levels found after alkali hydrolysis. The largest increases were observed with CRM 487 (pig liver, 5.8-fold) and CRM 121 (whole meal flour, 3.1-fold) after trienzyme digestion. Using trienzyme digestion method, total folate contents of raw and blanched edible plants were determined. Eleutherococcus senticosus ($146.9{\mu}g/100g$) showed the highest total folate content, followed by Aster glehni F. Schmidt ($142.8{\mu}g/100g$) and Ledebouriella seseloides H. Wolff ($140.4{\mu}g/100g$) on a wet weight basis. Blanching of samples resulted in an insignificant decrease in folate content for five samples and 11~63% reduction for nine samples. Our finding suggests that trienzyme digestion method is accurate for the determination of food folate in leafy vegetables.

• Electronics and Telecommunications Trends
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• v.25 no.4
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• pp.83-92
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• 2010

인터넷과 모바일의 활성화로 지속적으로 우편물량이 감소하고 있는 현 상황에서 우편 사업자들은 새로운 수요를 창출하고자 많은 노력을 하고 있다. 신규 시장을 만들기 위한 노력의 일환으로 고객의 주소를 보유하고 있는 선진 해외 우정사업자들은 상품 또는 서비스의 판매를 위한 기업의 전통적인 마케팅 방법인 Direct Mail(DM)에 지리정보(GIS) 기반의 고객관리기법(gCRM)을 접목한 홍보우편 서비스를 도입하고 있다. 본 고에서는 홍보우편을 위한 one-stop 서비스를 제공하고 있는 미국, 캐나다, 독일의 홍보우편 서비스 동향을 살펴보고, 국내 우정사업에 적용하고자 하는 홍보우편 마케팅 기법과 고객주소, GIS, gCRM 등이 결합된 홍보우편 서비스 시스템을 위한 요소기술들을 살펴보고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.121-128
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• 2010

Spatial data mining has been developed to support spatial association knowledge between spatial features or its non-spatial attributes for an application areas. At the present time, a number of researchers attempt to the data mining techniques apply to the several analysis areas, for examples, civil engineering, environmental, agricultural areas. Despite the efforts that, until such time as not existed practical systems for the gCRMDMs. gCRMDMs is merged with very large spatial database and CRM information system. Also, it is discovery the association rule for the predictions of customer's shopping pattern informations in a huge database consisted with spatial and non-spatial dataset. For this goal, gCRMDMs need spatial data mining techniques. But, nowadays, in a most case not exist utilizable model for the gCRMDMs. Therefore, in this paper, we proposed a practical gCRMDMs model to support a customer, store, street, building and geographical suited to the trade area.

• Asia-Pacific Journal of Business
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• v.4 no.1
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• pp.31-42
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• 2013

This study aims at discovering the reasons why some customers do not want a relationship. In line with this observation, this paper explores customers' future relationship intentions according to the reasons identified. Based upon a qualitative methodology by way of in depth interviews, we have identified seven factors (e.g., passive loyalty, negative experience, relevance, negative indifference, positive indifference, and emotional value) that lead a consumer not wanting to maintain an ongoing relationship with a company. In Study 2, the author attempts to reveal the effects of each factor over time. The findings show that psychological motivations are useful in improving CRM performance.

• Information Systems Review
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• v.8 no.1
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• pp.181-201
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• 2006

As the Internet spreads, many people have interests in e-CRM and product recommender systems, one of e-CRM applications. Among various approaches for recommendation, collaborative filtering and content-based approaches have been investigated and applied widely. Despite their popularity, traditional recommendation approaches have some limitations. They require at least one purchase transaction per user. In addition, they don't utilize much information such as demographic and specific personal profile information. This study suggests new hybrid recommendation model using two data mining techniques, association rule and classification, as well as intelligent agent to overcome these limitations. To validate the usefulness of the model, it was applied to the real case and the prototype web site was developed. We assessed the usefulness of the suggested recommendation model through online survey. The result of the survey showed that the information of the recommendation was generally useful to the survey participants.