• 제목/요약/키워드: 4-META

검색결과 1,394건 처리시간 0.029초

괴산지역 지하수의 라돈 함량 (Radon Concentrations in Groundwater of the Goesan Area, Korea)

  • 조병욱
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제22권5호
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    • pp.63-70
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    • 2017
  • Radon concentrations were measured in 250 groundwater samples collected from the Goesan area where uraniferous black slate and granites abundantly occur in the formations. The measured radon levels ranged from 0.90 to 7,218.7 Bq/L with the median value of 54.3 Bq/L, similar to the value measured in the nationwide survey in 4,853 wells (52.1 Bq/L). The median value was highest in the Cretaceous granite area (390.0 Bq/L) while it was as low as 20.0~58.8 Bq/L in the Ogcheon meta-sedimentary rock areas. About 23.6% of the total samples exceeded the WHO guideline value of 100 Bq/L established in 2011. The exceeding rate was 69.0, 39.4, and 7.0~13.7% in the Cretaceous granite area, Jurassic granite area, and Ogcheon meta-sedimentary rock areas, respectively.

아동의 기본심리욕구와 관련 요인에 대한 메타분석 (Meta-Analysis on Factors Related to Children's Basic Psychological Needs)

  • 채은영;정문주
    • 아동학회지
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    • 제37권4호
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    • pp.83-99
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    • 2016
  • Objective: The purpose of this study was to analyze correlation effect size between Basic Psychological Needs (BPN) and factors affecting BPN. Methods: This research was reviewed and synthesized systematically by meta-analyse. Fifty-eight published studies between 2008 and 2016 were sampled and the effect sizes were acquired. Results: The major findings were as follows. In general, medium correlation effect sizes were found. Competency among sub-factors of BPN showed highest effects. Parental factor was more related to BPN than school and individual factors. Parenting behavior and family psychological backgrounds were the most crucial factors in the parental factors. School adjustment was the most critical factor in the school factors. In school grade, the elementary school was more related to BPN than junior high school and high school. Conclusion: Based on these results, we suggest a number of components for parent-education programs, and information for future research.

메타 검색에서 질의와 컬렉션 사이의 관련성 분포정보를 이용한 컬렉션 선택 (Collection Selection using Relevance Distribution Information between Queries and Collections in Meta Search)

  • 배종민;김현주
    • 한국멀티미디어학회논문지
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    • 제4권4호
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    • pp.287-296
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    • 2001
  • 메타 검색에서 이질의 컬렉션으로부터 정보를 검색할 때, 주어진 질의에 대하여 가장 적합한 컬렉션을 선택하는 것에 대한 알고리즘을 제안한다. 제안된 컬렉션 선택 방법은 검색에 참여한 컬렉션으로부터 질의에 대해 임의의 크기 N 만큼 검색 문서를 수집한 후에 이를 분석하여 컬렉션에 대한 관련성 정도로 추정하고 이를 기반으로 컬렉션 선택 기준을 결정하였다. 이때 가장 적합한 컬렉션을 선택하기 위해서, 모집단의 크기 N, 관련문서의 순서정보, 정화도 등의 메타 정보를 사용하였다.

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부모를 위한 아동학대 예방 가정방문 프로그램 효과 메타분석 (Effects of Home-Based Intervention Program to Prevent Child Abuse for Parents: A Meta Analysis)

  • 박현정;김현경
    • Child Health Nursing Research
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    • 제23권4호
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    • pp.479-493
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    • 2017
  • Purpose: This study was done to conduct a meta-analysis of articles describing randomized controlled trials which showed substantiated effects for home-based child abuse prevention programs for all parents. Methods: The articles regarding child abuse prevention programs for parents were investigated using the systematic review method. A literature search was conducted in PubMed, CINAHL, PsycINFO, Cochrane central library, Eric, and RISS on material published. Article searches and quality appraisal through RoB (Risk of Bias) yielded 14 records. Results: The total random effect size was 0.344 (Parents outcome, 0.333; Child outcome, 0.310; Environment, 0.275). The home based intervention for parents was effective for prevention of potential child abuse. Conclusion: This study supports the effectiveness of health care professional directing child abuse prevention programs for all parents whose children are in the early years of life including during the period of pregnancy.

산업체 수요중심 커리큘럼을 위한 메타모델 설계 기법 (Meta-Model Design Technique for Industrial Demand-Driven Curriculum)

  • 조은숙;박수희;장준오;노은하
    • 디지털산업정보학회논문지
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    • 제7권4호
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    • pp.169-181
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    • 2011
  • The cooperation between universities and IT industry in producing IT manpower of quality is urgently called for to create the effective labor pool of supply and finally balance its supply and demand. Korean Government launched a program where industrial demand-driven curriculums are developed and applied to universities. This paper proposes a design technique of meta-modeling demand-driven curriculums and courses, based on the 3D software space and the software development process. This technique is proven to result in extensibility, flexibility and quality improvement in software design. Therefore, we expect that the proposed technique makes curriculums and courses possible to be continuously improved in many aspects.

메쉬업을 통한 의학교육 메타검색시스템의 설계 및 구현 (Design and Implementation of Medical Education System using Mesh-Up Meta-Search Program)

  • 정용규;최재관;최영진
    • 한국인터넷방송통신학회논문지
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    • 제11권4호
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    • pp.119-123
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    • 2011
  • 근래에 들어 여러 교육방법에 많은 변화가 왔다. 그럼에도 불구하고 자유로운 의학 및 전문 지식을 얻을 수 있는 교육환경을 조성하는데 어려움이 따르고 있다. 본 논문에서는 의학교육의 자유로운 학습을 위한 시스템으로 매쉬업 서비스를 통한 의학교육 메타 검색 시스템을 제안한다. 이 시스템은 사용허가를 받은 검색 API와 콘텐츠 API, 데이터 API를 통하여 검색 시스템과 동영상 콘텐츠 시스템을 설계하고, 이를 바탕으로 의학교육 메타 검색 시스템을 구현한다.

A Meta-Analysis Comparing Lobectomy versus Segmentectomy in Stage I Non-Small Cell Lung Cancer

  • Lim, Tae Yoon;Park, Samina;Kang, Chang Hyun
    • Journal of Chest Surgery
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    • 제52권4호
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    • pp.195-204
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    • 2019
  • Lobectomy is considered the standard strategy for early-stage non-small cell lung cancer (NSCLC). However, sublobar resection for NSCLC has recently received increased attention. The objective of this study was to compare 5-year survival, recurrence-free survival, postoperative mortality, and postoperative morbidities in patients who received segmentectomy versus those who received lobectomy through a meta-analysis. Sixteen studies were included and the combined hazard ratios or odds ratios were calculated. The results revealed that the 5-year survival rate after segmentectomy was comparable to that of lobectomy for stage IA NSCLC. However, segmentectomy for stage I NSCLC had lower rates of postoperative mortality and morbidities than lobectomy.

금 합금 및 비 귀금속 합금에 대한 의치상 레진의 결합강도에 관한 연구 (A STUDY ON THE FLEXURAL BOND STRENGTH OF THE GOLD AND THE Co-Cr ALLOY TO THE DENTURE BASE RESINS)

  • 박현주;김창회;김영수
    • 대한치과보철학회지
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    • 제38권4호
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    • pp.500-509
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    • 2000
  • In general, the three major oral functions of edentulous patients-mastication, phonation, esthetics-can be rehabilitated by the complete dentures, and both the resin based complete denture and the metal based complete denture are commonly used by many clinicians today. For the sake of many advantages such as the excellent thermal conductivity, low volumetric change, high strength, low risk of fracture and the better patient's adaptation, the metal based complete dentures are indicated to the several cases. But, there are common failures of these type of dentures mainly by the fracture or the debonding between the resin structures and the metal frameworks which is caused by the discrepancies of the flexural strength and the coefficient of thermal expansion. This is aggravated by the water contamination of the interface when exposed to the oral environment and results in the failure of complete denture treatment. So, the purpose of this study is to compare the bond strength and the fracture patterns of the gold alloy based and the Co-Cr alloy based complete dentures using the PMMA resins and the 4-META adhesive resins. The results of this study were as follows. 1. Both to the PMMA resin and the 4-META resin, the flexural bond strength of gold alloy is lower than that of Co-Cr alloy(P<0.05) 2. To the Co-Cr alloy, the bond strength of the 4-META resin is significantly higher than that of PMMA resin(P<0.05). 3. The flexural strength of the group with the mechanical retention form is significantly higher than that of the group without retention form(P<0.05). 4. Comparing with the other groups, the fracture patterns of the group 3 are quite different from the group 1,2,5.

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염증성 근육뼈대계 질환에 대한 미세전류의 효과: 메타분석 (Effects of Microcurrent on Inflammatory Musculoskeletal Diseases: A Meta-Analysis)

  • 이정우;고운;두영택
    • 대한통합의학회지
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    • 제8권4호
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    • pp.1-11
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    • 2020
  • Purpose : The purpose of this meta-analysis was to examine the effects of microcurrent on inflammatory musculoskeletal diseases. Methods : Domestic databases (RISS, NDSL, KISS, DBpia, and Kmbase) were searched for studies that conducted clinical trials associated with microcurrent and its impact on inflammatory musculoskeletal diseases. A total of 606 studies published between 2002 and 2019 were identified, with 8 studies satisfying the inclusion data. The studies were classified according to patient, intervention, comparison, and outcome (PICO). The search outcomes were items associated with blood component, pain, and function. The 8 studies that were included in the study were evaluated using R meta-analysis (version 4.0). The quality of 7 randomized control trials was evaluated using Cochrane risk of bias (ROB). The quality of 1 non-randomized control trial was evaluated using risk of bias assessment tool for non-randomized studies (RoBANS). Effect sizes were computed as the corrected standard mean difference (SMD). A random-effect model was used to analyze the effect size because of the high heterogeneity among the studies. Egger's regression test was carried out to analyze the publishing bias. Results : The following factors had a large effect size involving microcurrent on inflammatory musculoskeletal diseases: blood component (Hedges's g=-2.46, 95 % CI=-4.20~-0.73), pain (Hedges's g=3.51, 95 % CI=2.44~4.77), and function (Hedges's g=3.06, 95 % CI: 1.53~4.58). Except for function (t=1.572, p=.191), Egger's regression test showed that the publishing bias had statistically significant differences. Conclusion : This study provides evidence for the effectiveness of microcurrent on inflammatory musculoskeletal diseases in terms of blood component, pain, and function. However, due to the small sample sizes used in the included studies, the results of our study should be interpreted cautiously, especially considering the publishing bias.

SVM과 meta-learning algorithm을 이용한 고지혈증 유병 예측모형 개발과 활용 (Development and application of prediction model of hyperlipidemia using SVM and meta-learning algorithm)

  • 이슬기;신택수
    • 지능정보연구
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    • 제24권2호
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    • pp.111-124
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    • 2018
  • 본 연구는 만성질환 중의 하나인 고지혈증 유병을 예측하는 분류모형을 개발하고자 한다. 이를 위해 SVM과 meta-learning 알고리즘을 이용하여 성과를 비교하였다. 또한 각 알고리즘에서 성과를 향상시키기 위해 변수선정 방법을 통해 유의한 변수만을 선정하여 투입하여 분석하였고 이 결과 역시 각각 성과를 비교하였다. 본 연구목적을 달성하기 위해 한국의료패널 2012년 자료를 이용하였고, 변수 선정을 위해 세 가지 방법을 사용하였다. 먼저 단계적 회귀분석(stepwise regression)을 실시하였다. 둘째, 의사결정나무(decision tree) 알고리즘을 사용하였다. 마지막으로 유전자 알고리즘을 사용하여 변수를 선정하였다. 한편, 이렇게 선정된 변수를 기준으로 SVM, meta-learning 알고리즘 등을 이용하여 고지혈증 환자분류 예측모형을 비교하였고, TP rate, precision 등을 사용하여 분류 성과를 비교분석하였다. 이에 대한 분석결과는 다음과 같다. 첫째, 모든 변수를 투입하여 분류한 결과 SVM의 정확도는 88.4%, 인공신경망의 정확도는 86.7%로 SVM의 정확도가 좀 더 높았다. 둘째, stepwise를 통해 선정된 변수만을 투입하여 분류한 결과 전체 변수를 투입하였을 때보다 각각 정확도가 약간 높았다. 셋째, 의사결정나무에 의해 선정된 변수 3개만을 투입하였을 때 인공신경망의 정확도가 SVM보다 높았다. 유전자 알고리즘을 통해 선정된 변수를 투입하여 분류한 결과 SVM은 88.5%, 인공신경망은 87.9%의 분류 정확도를 보여 주었다. 마지막으로, 본 연구에서 제안하는 meta-learning 알고리즘인 스태킹(stacking)을 적용한 결과로서, SVM과 MLP의 예측결과를 메타 분류기인 SVM의 입력변수로 사용하여 예측한 결과, 고지혈증 분류 정확도가 meta-learning 알고리즘 중에서는 가장 높은 것으로 나타났다.