• 제목/요약/키워드: Correlation Criteria

검색결과 1,066건 처리시간 0.028초

국가별 ESG 이행성과지표 투입기준 산정에 관한 연구 (A Study on Estimation of Input Criteria for ESG Performance Index : The Country Level of ESG Index Perspective)

  • 이경한
    • 한국항만경제학회지
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    • 제38권2호
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    • pp.31-47
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    • 2022
  • 본 연구의 목적은 국가의 ESG 이행 성과와 유관한 세부 지표들을 분류 및 측정할 수 있는 신뢰성 있는 도구를 개발하여 그 적용 가능성에 대한 타당성을 검증하는 것이다. 투입 데이터로서 World Bank의 자료를 토대로 총 239개의 국가를 대상으로 측정한 67개 종류의 ESG 관련 세부 지표를 대상으로 구조방정식의 확인적요인분석과 경로분석을 시행하여 세부지표들을 환경, 사회, 지배구조의 3가지 부문으로 그룹화할 수 있는 최적 모형 도출을 시도하였다. 분석 결과 총 10개의 세부지표들이 국가의 ESG 이행성과와 통계적으로 유의한 관계가 있음을 확인하였다. 또한 해당 세부지표들은 1차 잠재변수인 E, S, G와 모두 양(+)의 상관관계를 보였으며, 모형의 적합도에서도 전반적으로 높은 지수를 보여 변수투입의 타당성 및 신뢰성을 확보하였다. 결과적으로 본 연구는 ESG를 구성하는 다수의 세부 성과 지표들의 잠재변수로의 분류가 가능함을 확인하였으며, 변수의 선정 방법 및 투입 타당성에 대한 명확한 기준을 제시하였다 할 수 있다.

Association between metabolic syndrome components and cardiac autonomic modulation in southern Indian adults with pre-metabolic syndrome: hyperglycemia is the major contributing factor

  • Endukuru Chiranjeevi Kumar;Girwar Singh Gaur;Dhanalakshmi Yerrabelli;Jayaprakash Sahoo;Balasubramaniyan Vairappan;Alladi Charanraj Goud
    • The Korean Journal of Physiology and Pharmacology
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    • 제27권1호
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    • pp.49-59
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    • 2023
  • Metabolic syndrome (MetS) involves multi-factorial conditions linked to an elevated risk of type 2 diabetes mellitus and cardiovascular disease. Pre-metabolic syndrome (pre-MetS) possesses two MetS components but does not meet the MetS diagnostic criteria. Although cardiac autonomic derangements are evident in MetS, there is little information on their status in pre-MetS subjects. In this study, we sought to examine cardiac autonomic functions in pre-MetS and to determine which MetS component is more responsible for impaired cardiac autonomic functions. A total of 182 subjects were recruited and divided into healthy controls (n=89) and pre-MetS subjects (n=93) based on inclusion and exclusion criteria. We performed biochemical profiles on fasting blood samples to detect pre-MetS. Using standardized protocols, we evaluated anthropometric data, body composition, baroreflex sensitivity (BRS), heart rate variability (HRV), and autonomic function tests (AFTs). We further examined these parameters in pre-MetS subjects for each MetS component. Compared to healthy controls, we observed a significant cardiac autonomic dysfunction (CAD) through reduced BRS, lower overall HRV, and altered AFT parameters in pre-MetS subjects, accompanied by markedly varied anthropometric, clinical and biochemical parameters. Furthermore, all examined BRS, HRV, and AFT parameters exhibited an abnormal trend and significant correlation toward hyperglycemia. This study demonstrates CAD in pre-MetS subjects with reduced BRS, lower overall HRV, and altered AFT parameters. Hyperglycemia was considered an independent determinant of alterations in all the examined BRS, HRV, and AFT parameters. Thus, hyperglycemia may contribute to CAD in pre-MetS subjects before progressing to MetS.

Estimating the unconfined compression strength of low plastic clayey soils using gene-expression programming

  • Muhammad Naqeeb Nawaz;Song-Hun Chong;Muhammad Muneeb Nawaz;Safeer Haider;Waqas Hassan;Jin-Seop Kim
    • Geomechanics and Engineering
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    • 제33권1호
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    • pp.1-9
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    • 2023
  • The unconfined compression strength (UCS) of soils is commonly used either before or during the construction of geo-structures. In the pre-design stage, UCS as a mechanical property is obtained through a laboratory test that requires cumbersome procedures and high costs from in-situ sampling and sample preparation. As an alternative way, the empirical model established from limited testing cases is used to economically estimate the UCS. However, many parameters affecting the 1D soil compression response hinder employing the traditional statistical analysis. In this study, gene expression programming (GEP) is adopted to develop a prediction model of UCS with common affecting soil properties. A total of 79 undisturbed soil samples are collected, of which 54 samples are utilized for the generation of a predictive model and 25 samples are used to validate the proposed model. Experimental studies are conducted to measure the unconfined compression strength and basic soil index properties. A performance assessment of the prediction model is carried out using statistical checks including the correlation coefficient (R), the root mean square error (RMSE), the mean absolute error (MAE), the relatively squared error (RSE), and external criteria checks. The prediction model has achieved excellent accuracy with values of R, RMSE, MAE, and RSE of 0.98, 10.01, 7.94, and 0.03, respectively for the training data and 0.92, 19.82, 14.56, and 0.15, respectively for the testing data. From the sensitivity analysis and parametric study, the liquid limit and fine content are found to be the most sensitive parameters whereas the sand content is the least critical parameter.

Predicting concrete's compressive strength through three hybrid swarm intelligent methods

  • Zhang Chengquan;Hamidreza Aghajanirefah;Kseniya I. Zykova;Hossein Moayedi;Binh Nguyen Le
    • Computers and Concrete
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    • 제32권2호
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    • pp.149-163
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    • 2023
  • One of the main design parameters traditionally utilized in projects of geotechnical engineering is the uniaxial compressive strength. The present paper employed three artificial intelligence methods, i.e., the stochastic fractal search (SFS), the multi-verse optimization (MVO), and the vortex search algorithm (VSA), in order to determine the compressive strength of concrete (CSC). For the same reason, 1030 concrete specimens were subjected to compressive strength tests. According to the obtained laboratory results, the fly ash, cement, water, slag, coarse aggregates, fine aggregates, and SP were subjected to tests as the input parameters of the model in order to decide the optimum input configuration for the estimation of the compressive strength. The performance was evaluated by employing three criteria, i.e., the root mean square error (RMSE), mean absolute error (MAE), and the determination coefficient (R2). The evaluation of the error criteria and the determination coefficient obtained from the above three techniques indicates that the SFS-MLP technique outperformed the MVO-MLP and VSA-MLP methods. The developed artificial neural network models exhibit higher amounts of errors and lower correlation coefficients in comparison with other models. Nonetheless, the use of the stochastic fractal search algorithm has resulted in considerable enhancement in precision and accuracy of the evaluations conducted through the artificial neural network and has enhanced its performance. According to the results, the utilized SFS-MLP technique showed a better performance in the estimation of the compressive strength of concrete (R2=0.99932 and 0.99942, and RMSE=0.32611 and 0.24922). The novelty of our study is the use of a large dataset composed of 1030 entries and optimization of the learning scheme of the neural prediction model via a data distribution of a 20:80 testing-to-training ratio.

A novel approach for the definition and detection of structural irregularity in reinforced concrete buildings

  • S.P. Akshara;M. Abdul Akbar;T.M. Madhavan Pillai;Renil Sabhadiya;Rakesh Pasunuti
    • Structural Monitoring and Maintenance
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    • 제11권2호
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    • pp.101-126
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    • 2024
  • To avoid irregularities in buildings, design codes worldwide have introduced detailed guidelines for their check and rectification. However, the criteria used to define and identify each of the plan and vertical irregularities are specific and may vary between codes of different countries, thus making their implementation difficult. This short communication paper proposes a novel approach for quantifying different types of structural irregularities using a common parameter named as unified identification factor, which is exclusively defined for the columns based on their axial loads and tributary areas. The calculation of the identification factor is demonstrated through the analysis of rectangular and circular reinforced concrete models using ETABS v18.0.2, which are further modified to generate plan irregular (torsional irregularity, cut-out in floor slab and non-parallel lateral force system) and vertical irregular (mass irregularity, vertical geometric irregularity and floating columns) models. The identification factor is calculated for all the columns of a building and the range within which the value lies is identified. The results indicate that the range will be very wide for an irregular building when compared to that with a regular configuration, thus implying a strong correlation of the identification factor with the structural irregularity. Further, the identification factor is compared for different columns within a floor and between floors for each building model. The findings suggest that the value will be abnormally high or low for a column in the vicinity of an irregularity. The proposed factor could thus be used in the preliminary structural design phase, so as to eliminate the complications that might arise due to the geometry of the structure when subjected to lateral loads. The unified approach could also be incorporated in future revisions of codes, as a replacement for the numerous criteria currently used for classifying different types of irregularities.

Intradural Procedural Time to Assess Technical Difficulty of Superciliary Keyhole and Pterional Approaches for Unruptured Middle Cerebral Artery Aneurysms

  • Choi, Yeon-Ju;Son, Wonsoo;Park, Ki-Su;Park, Jaechan
    • Journal of Korean Neurosurgical Society
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    • 제59권6호
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    • pp.564-569
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    • 2016
  • Objective : This study used the intradural procedural time to assess the overall technical difficulty involved in surgically clipping an unruptured middle cerebral artery (MCA) aneurysm via a pterional or superciliary approach. The clinical and radiological variables affecting the intradural procedural time were investigated, and the intradural procedural time compared between a superciliary keyhole approach and a pterional approach. Methods : During a 5.5-year period, patients with a single MCA aneurysm were enrolled in this retrospective study. The selection criteria for a superciliary keyhole approach included : 1) maximum diameter of the unruptured MCA aneurysm <15 mm, 2) neck diameter of the MCA aneurysm <10 mm, and 3) aneurysm location involving the sphenoidal or horizontal segment of MCA (M1) segment and MCA bifurcation, excluding aneurysms distal to the MCA genu. Meanwhile, the control comparison group included patients with the same selection criteria as for a superciliary approach, yet who preferred a pterional approach to avoid a postoperative facial wound or due to preoperative skin trouble in the supraorbital area. To determine the variables affecting the intradural procedural time, a multiple regression analysis was performed using such data as the patient age and gender, maximum aneurysm diameter, aneurysm neck diameter, and length of the pre-aneurysm M1 segment. In addition, the intradural procedural times were compared between the superciliary and pterional patient groups, along with the other variables. Results : A total of 160 patients underwent a superciliary (n=124) or pterional (n=36) approach for an unruptured MCA aneurysm. In the multiple regression analysis, an increase in the diameter of the aneurysm neck (p<0.001) was identified as a statistically significant factor increasing the intradural procedural time. A Pearson correlation analysis also showed a positive correlation (r=0.340) between the neck diameter and the intradural procedural time. When comparing the superciliary and pterional groups, no statistically significant between-group difference was found in terms of the intradural procedural time reflecting the technical difficulty (mean${\pm}$standard deviation : $29.8{\pm}13.0min$ versus $27.7{\pm}9.6min$). Conclusion : A superciliary keyhole approach can be a useful alternative to a pterional approach for an unruptured MCA aneurysm with a maximum diameter <15 mm and neck diameter <10 mm, representing no more of a technical challenge. For both surgical approaches, the technical difficulty increases along with the neck diameter of the MCA aneurysm.

연최대강우량의 대표확률분포형 결정을 위한 Jackknife기법의 적용 (Application of Jackknife Method for Determination of Representative Probability Distribution of Annual Maximum Rainfall)

  • 이재준;이상원;곽창재
    • 한국수자원학회논문집
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    • 제42권10호
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    • pp.857-866
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    • 2009
  • 본 연구에서는 전국의 30년 이상의 강우관측기록을 보유하고 있는 기상청 산하 56개 강우관측소의 연 최대치 강우자료들로부터 확률분포형에 대하여 모멘트법, 최우추정법, 확률가중모멘트법을 이용하여 모수를 추정하고, 그 모수의 범위와 확률변수의 범위에 대한 적정성을 알아보았다. 적정성이 있는 모수를 대상으로 적합도 검정법인 x$^2$-검정, K-S검정, Cramer von Mises (CVM)검정, Probability Plot Correlation Coefficient (PPCC) 검정을 실시한 결과 중, 최근 연구에서 많이 이용되고 있고 표본자료의 크기가 작거나 왜곡된 자료일 경우에도 비교적 안정적인 결과를 얻을 수 있는 확률가중모멘트법과 상관계수에 의한 검정인 PPCC검정을 통과한 분포형을 우선적으로 적합도 평가 대상 분포형으로 선정하였다. 선정된 분포형을 대상으로 적합도 평가기준인 SLSC, MLL, AIC를 적용하여 적합도 평가를 실시하여 대표확률분포형 후보군을 추출하였다. 대표확률분포형 후보군으로 선정된 확률분포형에 대하여 resampling방법인 Jackknife기법을 적용하여 변동성을 파악하고, 변동성이 가장 작게 나타난 분포형을 그 지점의 대표확률분포형으로 결정하였다. 본 논문에서는 분석 결과의 분량을 감안하여 대표적으로 서울, 강릉, 대구, 전주, 부산 지점에 대해 작성하였으며, 확률강우량의 변동성이 가장 작은 확률분포형을 56개 지점의 각 지점 대표확률분포형으로 제시하였으며, Gumbel 분포(GUM)의 선정 비율이 지속기간 12시간, 24시간에 대해 각각 41 %, 32 %로 가장 높게 나타났다. 본 연구에서는 적합도 평가를 함에 있어서 객관적 정량화가 가능한 세 가지 기준과 Jackknife기법을 이용한 새로운 확률분포형 선정의 가능성을 제시하였다.

이화명충에 대한 수도품종의 저항성에 관한 연구 (I) 품종간의 질소 및 규소함량이 저항성요소에 미치는 영향 (Studies on the varietal resistance to the rice stem borer, Chilo suppressalis WALKER. (I) Relation between the resistance and nitrogen and silica contents of host plant)

  • 심재욱
    • 한국응용곤충학회지
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    • 제4권
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    • pp.51-54
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    • 1965
  • 이화명충에 대한 수도의 저항성 요인과 척도를 구명하기 위하여 여러 가지 품종에 접종 및 방사를 하였으며 그 영향에 따라 도체의 주요성분을 분석한 바 아래와 같은 결과를 얻었다. (1) 수도품종간에 이화명충의 유충 생육이 현저하게 큰 차를 나타내었다. 품종에 따른 체중증가량에 있어서도 부화 후 25일에 유충의 체중은 최고 45.77mg, 최저 21.23mg였는데 대체로 Indica type은 Japonica type 보다 유충체중의 증가가 컸다. (2) 수도품종에 있어서 여러 가지 저항성요소중 상관관계를 보면 유충의 생존율은 체중증가, 분화, 피해경율 및 산란선택성들과 정의 상관을 나타내었다. 따라서 유층의 생존율은 이화명충에 대한 도체의 저항성요소의 척도로 이용될 수 있다고 생각되었다. (3) 저항성 및 감수성 품종의 화학적 분석 결과에 의하면 몇몇 저항성요소와 질소함량간에는 정, 그리고 규산의 함량과는 부의 상관을 나타내었으며 특히 유충의 추성에는 질소, 천공성에는 규산의 함량이 관련됨을 알 수 있었고 탄소의 함량과는 유의한 상관을 나타나지 않았다. (4) 유충의 추성 및 천공성도 저항성 척도인 생존율과 정의 상관을 나타내었으므로 저항성은 여러 가지 요소들의 복합적인 작용으로 나타난다고 생각되었다.

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일반국도 통행특성을 고려한 지점검지기의 적정설치지점 선정에 관한 연구 (A Study for Optimized Detecter Location Considering the Traffic Characteristics in National Highway)

  • 변상철;이승재
    • 대한교통학회지
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    • 제24권2호
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    • pp.19-30
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    • 2006
  • 본 연구는 일반국도의 통행특성을 고려한 지점검지기의 적정설치지점 선정을 다루고 있다. 일반국도에서의 ITS 구축은 활발히 진행되고 있으나. 자료수집 구간에서의 통행시간 추정 신뢰도에 가장 큰 영향을 미치고 있는 지점검지기의 설치지점에 관해 적절한 기준이 제시되지 못하고 있는 실정이다. 따라서 본 연구에서는 일반국도의 구간 통행시간의 추정을 위해 대표성을 확보할 수 있는 지점검지기의 적정설치지점을 선정하여 제시하고자 한다 이를 위하여 GPS 프로브 차량과 지점검지기를 이용하여 대상지역의 통행특성을 수집하고, 지점속도와 구간통행시간의 상관분석을 통하여 적정설치지점을 선택한다. 분석결과 일반국도의 구간별 적정설치지점의 특성은 다음과 같다. 첫째. 구간 통행시간과 지점 속도와의 상관관계는 구간의 시점에서부터 높아지다가 일정시점이 지나서는 낮아지는 U자형 형태를 보이고 있다. 둘째. 최적설치지점은 분석구간마다 상이하게 존재하나, 대부분 구간연장을 기준으로 중류부 및 중 하류부에 존재한다. 셋째, 구간의 적정설치지점은 구간의 중류부에서 하류부로 넘어가는 지점이 적절하며, 일반적으로 자료수집 구간 연장을 기준으로 시점부로부터 $55{\sim}60%$가 되는 지점이다. 넷째, 종단경사는 적정설치지점과 관련하여 중요한 결정인자가 되며, 종단경사가 큰 경우에 있어서 검지기의 설치는 배제되어야 한다. 끝으로, 본 연구의 결과를 토대로 한 지점검지기의 현장적용을 통해, 정보제공 구간내 통행시간 추정 및 예측력의 개선을 기대한다.

ESR 자동분석기를 이용한 내부정도관리방법 (The Internal Quality Control for TEST 1, the Automatic Analyzer of Erythrocyte Sedimentation Rate)

  • 조영국;심현설;송운흥;박규은
    • 대한임상검사과학회지
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    • 제36권2호
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    • pp.239-244
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    • 2004
  • Recently automatic equipment has been well popularized for the erythrocyte sedimentation rate, a widely used test, but no standard quality control has been established yet. Thus, we are going to report a case that established and applied a quality control method using the TEST 1 automatic analyzer. For internal quality control, we adopted the repeatability test through comparison with daily mean check, with a manual method using patients' specimens and with the results of a test on the previous day. In order to set the tolerance standard for each quality control method, we compared the results of 50 specimens that showed a wide range of ESR results and examined correlation and differences according to result. After setting the tolerance standard, we applied the standard at tertiary university hospitals for 120 days and investigated positive rates and re-examination rates. If the tolerance standard was exceeded, the cause was also identified. We selected a specimen of below 25 mm/hr (T1), one between 26-50 mm/hr (T2) and one of over 51 mm/hr (T3) at random. The correlation between the manual method and the automatic method was quite high (r=0.98), and it is found appropriate to set based on differences in result values below 25 mm/hr, the upper limit of the reference value, and based on differences in the percentage of result values above 25 mm/hr. Accordingly, we set the criteria for rejection above 10 mm/hr and above 20%. When the criteria were applied in the laboratory, 1.7% of specimens in the range of T1, 8.3% of those in the range of T2 and 7.5% of those in the range of T3 were rejected. Because all the rejected ones fell within the tolerance limit in re-examination calibration verification was not carried out. With the wide popularization of erythrocyte sedimentation rate analyzers that can carry out a lot of tests quickly using automatic methods, it is necessary to improve the reliability of test results by establishing internal quality control policies. We expect that an agreed standard quality control method may be established based on the method proposed in this study.

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