• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.119-124
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• 2015

Background: DICER, one of the microRNA (miRNA) biogenesis proteins, is involved in the maturation of miRNAs and is implicated in cancer development and progression. The results from previous epidemiological studies on associations between DICER rs1057035 polymorphism and cancer risk were inconsistent. Thereforewe performed this meta-analysis to summarize possible associations. Materials and Methods: We searched all relevant articles on associations between DICER rs1057035 polymorphism and cancer risk from PubMed, EMBASE, Chinese Biomedical Literature and Chinese National Knowledge Infrastructure until August 2014. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess any associations. Heterogeneity tests, sensitivity analyses and publication bias assessments were also performed in this meta-analysis. All analyses were conducted using STATA software. Results: Seven case-control studies, including 4,875 cancer cases and 7,800 controls were included in the meta-analysis. Overall, the results indicated that the C allele of DICER rs1057035 polymorphism was significantly associated with decreased cancer risk in allelic comparison, heterozygote and dominant genetic models (C vs T: OR=0.88, 95%CI 0.81-0.95, p=0.002; TC vs TT: OR=0.85, 95%CI 0.77-0.93, p=0.001; CC/TC vs TT: OR=0.86, 95%CI 0.78-0.94, p=0.001). In the subgroup analysis by ethnicity, a significantly decreased cancer risk was found in Asian but not Caucasian populations. Conclusions: The present meta-analysis suggests that the C allele of the DICER rs1057035 polymorphism probably decreases cancer risk. However, this association may be Asian-specific and the results should be treated with caution. Further well-designed studies based on larger sample sizes and group of populations are needed to validate these findings.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.149-156
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• 2011

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

• Journal of Oriental Neuropsychiatry
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• v.30 no.2
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• pp.89-105
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• 2019

Objectives: We conducted this study to evaluate the efficacy of Chuna Manual Therapy (CMT) for treatment of cervicogenic headache (CeH) through systematic review and Meta-analysis of randomized controlled trials (RCTs) as a preceding research to further research the effective of Chuna Manual Therapy for patients who suffered from CeH. Methods: We conducted a systematic review and meta-analysis by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the studies from MEDLINE, Elsevier-EMBASE, The Cochrane Library, CAJD, KISS, KMBase, Korean Traditional Knowledge Portal, NDSL, and OASIS. The studies selected only in randomized controlled trials. We selected the chosen studies by the selection and the exclusion criteria, and evaluated the quality of the selected studies using the Jadad score and the Cochran ROB tool. We used the Visual Analogue Scale score (VAS) and Clinical total Effective Rate (CER) for the results and analyzed the results of the included studies using RevMan 5.3 software provided by the Cochran library. Results: We included 20 RCTs, including 1,673 subjects, in the systematic review and meta-analysis. After the intervention, the CMT group showed better results than the pharmacotherapy group, the physiotherapy group, and the combined treatment group. The CMT group showed a good effect on the CER and the VAS but showed a significant heterogeneity compared to the pharmacotherapy group. Conclusions: The CMT as monotherapy might have benefits on Cervicogenic Headache patient. Further well-designed studies need to be conducted.

• Journal of KIISE
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• v.41 no.9
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• pp.674-685
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• 2014

The Knowledge service system needs to infer a new knowledge from indicated knowledge to provide its effective service. Most of the Knowledge service system is expressed in terms of ontology. The volume of knowledge information in a real world is getting massive, so effective technique for massive data of ontology is drawing attention. This paper is to provide the method to infer massive data-ontology to the extent of RDFS, based on cloud computing environment, and evaluate its capability. RDFS inference suggested in this paper is focused on both the method applying MapReduce based on RDFS meta table, and the method of single use of cloud computing memory without using MapReduce under distributed file computing environment. Therefore, this paper explains basically the inference system structure of each technique, the meta table set-up according to RDFS inference rule, and the algorithm of inference strategy. In order to evaluate suggested method in this paper, we perform experiment with LUBM set which is formal data to evaluate ontology inference and search speed. In case LUBM6000, the RDFS inference technique based on meta table had required 13.75 minutes(inferring 1,042 triples per second) to conduct total inference, whereas the method applying the cloud computing memory had needed 7.24 minutes(inferring 1,979 triples per second) showing its speed twice faster.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.6
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• pp.18-27
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• 2001

XML은 임의 형태 문서, 임의 응용에 대해 일반화 마크업(Markup)을 정의하기 위한 방법을 표준화하는 메타 언어(Meta Language)로서 기술적 문서 마크업을 생성하는 기법과 문서의 지능적 내용이나 체계를 정의하기 위한 언어를 제공하며, 다양한 응용들 사이에 구조화된 데이터를 상호 교환하기 위한 도구와 다양한 입력으로부터 출력의 내용, 구조, 조직을 표준화하기 위한 방법을 제공한다.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.145-152
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• 2015

Barriers to health seeking constitute a challenging issue in the treatment of breast cancer. The current meta-synthesis aimed to explore common barriers to health seeking among Malaysian breast cancer patients. From the systematic search, nine studies were found meeting the inclusion criteria. Data extraction revealed that health behavior towards breast cancer among Malaysia women was influenced by knowledge, psychological, sociocultural and medical system factors. In terms of knowledge, most of the Malaysian patients were observed to have cursory information and the reliance on the information provided by media was limiting. Among psychological factors, stress and sense of denial were some of the common factors leading to delay in treatment seeking. Family member's advice, cultural beliefs towards traditional care were some of the common sociocultural factors hindering immediate access to advanced medical diagnosis and care. Lastly, the delay in referral was one of the most common health system-related problems highlighted in most of the studies. In conclusion, there is an immediate need to improve the knowledge and understanding of Malaysian women towards breast cancer. Mass media should liaise with the cancer specialists to disseminate accurate and up-to-date information for the readers and audience, helping in modification of cultural beliefs that hinder timing health seeking. However, such intervention will not improve or rectify the health system related barriers to treatment seeking. Therefore, there is an immediate need for resource adjustment and training programs among health professional to improve their competency and professionalism required to develop an efficient health system.

• Journal of the military operations research society of Korea
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• v.23 no.2
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• pp.85-102
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• 1997

There have been several research efforts to support interoperability among multiple databases. In integrating multiple databases, we must resolve schema conflicts due to the heterogeneity in databases. To resolve these conflicts, not only meta-data for database schemas but also general knowledge expressing the real world meanings associated with the database schemas are required. This paper presents a uniform representation method for relational schema and general knowledge base that is composed, among other things, of concept hierarchy and thematic roles in relationship, using the knowledge representation language Lk. This representation method has a flexible descriptive power which facilitates concepts to be expressed at different levels of granularity and can describe knowledge expressed in Lk are used for input of the next step, such as conflict resolution and query processing of multiple database.

• The Mathematical Education
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• v.48 no.1
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• pp.93-105
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• 2009

Considering the fact that PCK(pedogogical content knowledge) tends to guarantee the identity of mathematics education as a discipline and the teacher professionalism, PCK is one of the core concepts in the research on subject matter education. The purpose of this study is to review domestic and international researches on the definition and the components of PCK in mathematics. Based on the review, this study identified 3 knowledges which consist PCK; knowedge of mathematic content, knowledge of learner's understanding, and knowledge of teaching. Then this study provided some examples of PKC in the topic, the limit of sequences, and introduced the LMT and TEDS-M items, which were designed to measure the teacher's PCK. Lastly, this study attempted to evaluate the items on mathematics education included in the Teacher Employment Test administered for pre-service/. teachers in Korea based on PCK.

• Knowledge Management Research
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• v.4 no.2
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• pp.1-18
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• 2003

Team-members may have diverse backgrounds and characteristics and such diversity is getting increased in teams in terms of demographics(gender, age, and educations) and capabilities(knowledge, skills, and experiences). A meta-analysis of the last 40 years studies, however, concluded that diversity in teams does not have the consistent main effect on team performances. On the other hand, according to theories of selection and socialization, similarity in values, backgrounds, and experiences buttress the positive and effective working environment. Therefore, we conduct an empirical study in favor of similarity in work teams for the sake of team effectiveness. We investigated the importance of the similarity of team-members on IT team effectiveness. Two aspects of similarity, demographic and cognitive, were considered together. The shared mental model(SMM) was introduced as the representative construct for the cognitive similarity. We found that SMM is more important than the demographic similarities on team effectiveness.

• Journal of Korean Institute of Industrial Engineers
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• v.14 no.2
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• pp.53-61
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• 1988

Games such as baseball, soccer are scheduled by a given game type such as tournament, league or their mixed form. The objective of this paper is to find an efficient game-scheduling method with respect to traveling distance, break-time and other conditions. In this paper we first present two models which minimize traveling distance. The first model that a match is played once each other is solved by a heuristic method. In the second model that a match is played more than once, teams are paired by a modified 0 - 1 programming, and the pairs are rearranged in order to generate a number of workable schedules. Then Expert Systems is applied to solve breake-time and other conditions. In order to represent expertise's knowledge effectively, we present a new design of knowledge-base and data-base, inference engine including many rules and meta-rules which controls the global system. In knowledge-base, binary relation among various attributes is used to ease not only knowledge acquisition but also system execution.