• Title/Summary/Keyword: CRM1

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The Evaluation of Recovery Rate of Radioimmunoassay Using Certified Reference Material (CRM) (인증표준물질(CRM)을 이용한 방사면역측정법의 회수율 평가)

  • Choi, Sung Hee;Shin, Sun Young;Lim, So Hee;Hong, Mee Kyung;Noh, Gyeong Woon;Kim, Jin Eui
    • The Korean Journal of Nuclear Medicine Technology
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    • v.18 no.1
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    • pp.158-162
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    • 2014
  • Purpose: Reference material (RM) is defined as material that is safe and homogeneous enough about specified characteristic that is made with a purpose of using test of measurement or nominal characteristic. Certified reference material (CRM), which is issued by authorized organization, is defined as reference material that provides characteristic value, link uncertainty and retroactivity. The purpose of this paper was to evaluate recovery of radioimmunoassay by Certified Reference Material enclosed with a certificate and therefore to enhance reliability of test. Materials and Methods: WHO certified reference material is purchased from NIBSC (National Institute for Biological Standard and Control, United Kingdom) and made of 3 levels that are C-1 (low concentration), C-2 (medium concentration) and C-3 (high concentration) and measured for kit at the Seoul National University Hospital. Recovery rate is evaluated after measurement at four different days. Results: Recovery rate results using WHO certified reference material are T4 90%, Ferritin 88%, PSA 94%, Prolactin 99%, AFP 94% and TSH 93%. Conclusion: A procedure that appropriate accuracy, precision, specificity, sensitivity, reproducibility, and validate on the subject of kit for radioimmunoassay is essential. Recovery rate assay as extraction efficiency of analysis process is percent about already measuring results of analysis result after all measuring process. This is very important assessment standards of performance evaluation of immunoassay kit. Recovery rate results of 6 type used WHO CRM are satisfactory to 88~99%. This demonstrates that the radioimmunoassay is a very accurate measurement, which is very effectively utilized in clinical practice.

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Total Folate Contents of 15 Edible Plants Consumed in Korea Using Trienzyme Extraction Method (국내 소비되는 봄나물의 Trienzyme 추출법을 적용한 엽산 함량 분석)

  • Kim, Bo Min;Kim, So-Min;Oh, Ji Yeon;Cho, Young-Sook;Kim, Se-Na;Choi, Youngmin
    • 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.

Construction of Metadata Format and Ontology for Religious architecture heritage Information (종교유적 건축물 정보의 메타데이터 구성과 온톨로지 구축)

  • Chung, Heesun;Kim, Heesoon;Song, Hyun-Sook;Lee, Myeong-Hee
    • Journal of Korean Library and Information Science Society
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    • v.44 no.1
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    • pp.5-26
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    • 2013
  • Although organizing standardized metadata is important for effective management of cultural heritage information, current metadata are represented differently according to the properties of the resources or objectives of the organizations in which they are accumulated. This research compared 6 different metadata formats and created 18 data elements for constructing databases. A religious architecture heritage information database was constructed based on 72 historic religious architectures, each composing of three parts. An ontology based on religious architecture heritage information was designed using a revised CIDOC-CRM, and was developed with a semi-automated corpus program.

A Study on CRM in Discount Store of Fashion Product (2) - Focus on Customer's Age - (대형할인점(大形割引店)에서의 패션 제품(製品) CRM에 관(關)한 연구(硏究)(제2보)(第2報) - 연령대(年齡代)의 차이(差異)를 중심(中心)으로 -)

  • Lee, Seung-Hee;Huh, Song-Hee
    • Journal of Fashion Business
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    • v.11 no.1
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    • pp.97-107
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    • 2007
  • The purpose of this study was to examine the relationship structure in discount store focusing on age. Subjects for this study were 360 customers who had purchased fashion products in discount stores. For date analysis, $x^2$-test and regression analysis were used. As the result, when comparing groups by the age, women in their 20s, 30s and 40s had 'relationship maintenance intention' through satisfaction, trust and commitment. In the case of women in their 20s group, the information, reputation, product salesperson and price variables had the effects on satisfaction. The information, location, salesperson variable had direct effect on relationship maintenance. In the case of women in their 30s group, the benefits, information, reputation and price variables had the effects on satisfaction. And the information, salesperson variable had direct effect on relationship maintenance. In the case of women in their 40s group, the information, location and price variables had the effects on satisfaction. The reputation variable had direct effect on relationship maintenance. Based on these results, fashion marketing strategies of discount store would be suggested.

Analyzing Online Bookstore Customers Using Artificial Neura1 Network (신경망 기법을 이용한 온라인 서점 이용자들의 고객 유형 분석)

  • Jeon, Hyun-Chi;Shin, Young-Geun;Park, Sang-Sung;Kim, Myoung-Hoon;Jang, Dong-Sik
    • The Journal of the Korea Contents Association
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    • v.7 no.9
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    • pp.127-138
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    • 2007
  • Due to the development of internet technology and the steady increase of turnover at B2C market many companies put a lot of work into maintaining a good relationship with internet customers. Particularly, analyzing and understanding specific customer groups are essential for effective CRM and marketing strategy Thus, this paper proposes the method to define the customers of online bookstore into several meaningful groups. Five important factors and factor scores for each respondent are obtained by Factor Analysis. Six groups are classified by Cluster Analysis and Analysis of Variance(ANOVA) is used to verify the difference between each group.

A Study on Sales Activity Method throughout Customer Relationship Management (고객관계관리를 통한 소상공인의 매출증대에 관한 연구)

  • Park, Jae-Yong
    • Management & Information Systems Review
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    • v.23
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    • pp.1-23
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    • 2007
  • Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

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Evaluation Measures of CRM Application Software Use (CRM 응용 소프트웨어 활용도 평가를 위한 지표에 관한 연구)

  • Bhang, Su-In;Lee, Dong-Hyun;Kim, Neung-Hoe;In, Hoh Peter
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.222-225
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    • 2010
  • 매년 국내 많은 기업 및 단체에서 정보시스템 관련 프로젝트를 수행하는데 막대한 비용을 지불하고 있으며, 2008 년 국내 소프트웨어 및 컴퓨터관련 서비스 생산액은 24 조 4 천억 원에 이르고 있다. 그 중 컴퓨터 관련 서비스(SI 및 SM 등) 비용이 약 20 조, 응용 SW 비용이 1 조 8 천억 원에 이르고 있으며, 많은 기업과 단체들이 필요에 의해 다양한 정보시스템을 도입하여 운영하고 있음에도 불구하고 그 성과에 대해서 만족하지 못하고, 또 다시 정보시스템을 도입하여 운영하는 등 많은 시행착오를 겪고 있다. 이것은 기업의 필요에 맞는 정보시스템을 계획하고 구축하는 것도 중요하지만 정보시스템의 활용수준을 평가하고 이슈 및 개선사항을 도출하여 잘 활용하는 것이 정보시스템 성공의 핵심적인 요소임을 간과하고 있기 때문이다. 본 연구의 목적은 현재 개발되어 운영중인 정보시스템의 응용 소프트웨어가 효율적으로 이용되는지에 대한 활용 수준 평가/진단을 위하여 정보시스템 활용도 평가에 대한 선행연구의 한계점을 살펴보고, 체계적이고 합리적인 응용 소프트웨어 활용도 평가 지표를 새롭게 제시하며, 국내 기업의 차세대 CRM 응용 소프트웨어 활용수준을 적용하고 평가하여 이슈 및 개선사항을 도출하는데 있다.

The Product Recommender System Combining Association Rules and Classification Models: The Case of G Internet Shopping Mall (연관규칙기법과 분류모형을 결합한 상품 추천 시스템: G 인터넷 쇼핑몰의 사례)

  • Ahn, Hyun-Chul;Han, In-Goo;Kim, Kyoung-Jae
    • 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.