• Asian Journal of Business Environment
• /
• 제13권2호
• /
• pp.9-20
• /
• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• 동서간호학연구지
• /
• 제11권2호
• /
• pp.116-123
• /
• 2005

Purpose: The purpose of this study was to analyze the influencing factors on adolescent's self-efficacy. Method: This was a descriptive study. The data were collected from 7th through 12th graders(N=1710) enrolled in middle schools(N=873) and high schools(N=837) in the metropolitan area of Daegu. The instruments had used for this study were the self-efficacy, the life event checklist, and Family APGAR. The data were analyzed using frequency, t-test, Pearson correlation coefficient, and multiple regression analysis. Result: Pearson correlation analysis revealed that there were negative correlations between the self-efficacy and the stress. However, in case of the subjects who recorded higher scores at self-efficacy they showed higher scores at family function. Stepwise multiple regression analysis revealed that powerful predictors of adolescent's self-efficacy were family function and relations of schoolmate. Conclusion: From these results, we can find that the family function and relations of schoolmate were actual factors theta affected the self-efficacy of adolescents. Accordingly, affirmative emotion in family, harmonic communication among family members and sharing housekeeping works is recommended as a useful method in order to enhance the family function, and then the self-efficacy of adolescence will be increased.

• 수산해양교육연구
• /
• 제22권1호
• /
• pp.67-78
• /
• 2010

The purposes of this study are to analysis correlations of teachers' developments, organizational conflicts, and school organizational efficiency, and to test the influences of teachers' developments and organizational conflicts on school organizational efficiency. The data were collected from 240 elementary school teachers in Busan. Pearson's correlation analysis among sub-factors and stepwised multiple regression analysis were applied. The research findings are as follows: First, most of the sub-factors of teachers' developments, organizational conflict, and organizational efficiency had statistically significant correlations, showing positive correlation between sub-factors of teachers' developments and organizational efficiency and negative correlation between sub-factors of organizational conflicts and organizational efficiency. Second, through stepwised multiple regression analysis at the significance level of 5%, 'conflicts against administrator' was the most significant predictor with 31.4% explanation of the variance of organizational efficiency. These results suggest the necessity of training to promote teachers' developments and administrators' leadership.

• 한국병원경영학회지
• /
• 제26권4호
• /
• pp.1-11
• /
• 2021

This study is to identify the relationship among work-life balance and turnover intention of nurses and examine the influence of work-family balance, work-leisure balance, work-grow balance on turnover intention of nurses. Data were collected from nurses working at five hospitals with more than 30 beds in Seoul and analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation analysis and multiple regression analysis using Jamovi(1.6.23) program. The final sample were made up of 247 participants. In the correlation analysis, work-life balance and turnover intention showed negative correlation. As a result of multiple regression analysis, work-grow balance affected as a meaningful influence factor on turnover intention. It is necessary to carefully examine the sub-factors of work-life balance in order to understand the impact on turnover intention of nurses. And, hospitals need to provide organizational support for nurses' growth and career development.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권8호
• /
• pp.117-130
• /
• 2020

The purpose of this study is to provide benefits and ethically-rooted managerial implications based on theoretical underpinnings through an empirical study using correlation between wages, bank credit, government expenditure on economic growth, and employment via a case study in Indonesia. Besides that, managerial implications strive to provide benefits to the government regarding the importance of establishing effective and pro-development regulations to realize economic growth and employment through the efficient role of wages, bank credit, and government spending. This study uses secondary macroeconomic data from the period 2010-2019 with analysis using the correlation test with the Pearson correlation method. Out of eight hypotheses tested, two hypotheses do not have a significant correlation. The details of the statistical results obtained the following correlations: the correlation between bank credit and wages has a significant, but indirect (negative) correlation. However, the correlation between bank credit and economic growth has a direct and significant (positive) correlation. Government expenditure correlates positively with wages, but correlates negatively with bank credit. Wages are positively correlated with economic growth, but have no significant effect on employment. Finally, economic growth has a positive correlation with government expenditure, but does not have a significant correlation with employment.

• 한국방재안전학회논문집
• /
• 제12권2호
• /
• pp.25-34
• /
• 2019

본 연구에서는 산화구 방법으로 하수처리를 하는 공공 하수처리장을 선정하여 통계적인 방법으로 처리장의 수질 및 운영의 효율을 분석하였다. 얻어진 수질 데이터는 유입수 및 배출수의 pH, 온도, BOD, SS, T-N, ${NH_4}^+-N$ 및 T-P였다. 데이터 분석은 군집분석, 상관분석, ANOVA 분석, 클러스터 분석으로 수행되었다. 통계분석 결과, 하수 처리장의 유입 유량은 여름에 가장 높았으며 평균 유속은 $3.000m^3/s$이었다. Box plot 결과에 따르면, 하수의 COD, 총인 농도는 계절에 변화에 따라 크게 차이가 없었다. Pearson 상관관계 분석결과는 유입수에서 BOD, COD, T-N 및 T-P 간에 강한 양의 상관관계를 보였다. 계절변화에 따른 BOD와 T-N 농도는 겨울철에 가장 높았고, 계절에 따른 온도의 영향은 COD와 T-P가 가장 높았다. BOD는 수온과 음의 상관관계를 보였으나 HRT, SRT, C/N과 같은 공정인자는 양의 상관관계를 나타내었다. 유입수 온도가 높을수록 BOD 농도가 낮아지는 현상을 보였으며, 체류 시간이 단축될수록 BOD의 처리 효율이 저하되었다. T-N은 효율적인 처리를 위해 긴 체류 시간이 필요했으나 T-P는 공정인자의 변화에 따른 상관관계도에서 다소 적게 나타났다.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제7권3호
• /
• pp.361-370
• /
• 2017

본 논문에서는 공격적 성향의 운전자를 판단할 수 있는 기계학습 방식과 설문지 방식을 융합한 운전자 성향 판단 연구의 일환으로 두 방법으로 결정된 운전자 성향정보의 상관성을 분석하였다. 30명의 운전자를 대상으로 설문지를 이용한 주관적 성향을 정보를 수집하고 기계학습 기반의 성향판단 시스템을 이용하여 객관적 성향을 취득하였다. 이 중에서 기계학습 기반의 성향판단 시스템은 운전자행위 성향 분류 모델을 기반으로 설계되었다. 모델을 도출하기 위하여 운전자의 가속 패달과 브레이크 패달 조작 데이터와 HMM 기법을 이용한 기계학습을 수행하였다. 두 가지 방법으로 추정한 공격적 성향정보를 Pearson 방식으로 상관관계를 분석한 결과 높은 상관관계가 있음을 확인하였다. 뿐만 아니라 객관적 성향은 동일한 운전자에 대하여 고유한 특성이 있음을 확인하였다. 본 논문의 실험결과는 향후 두 방법을 융합하는 연구를 수행하기 위한 참고자료가 될 것이다. 또한 운전자의 공격적 성향이 주의어시스트, 운전자 식별, 도난방지 등 지능형 운전자 보조시스템에도 응용 될 수 있음을 확인하였다.

• 한국농공학회논문집
• /
• 제55권2호
• /
• pp.37-45
• /
• 2013

The aim of this study was to investigate chemical characteristic of livestock compost in association with livestock manure types (poultry, cattle, swine, and mixed manure). The livestock compost was collected from local nonghyup branches on a si-gun level. Chemical composition (nutrients, heavy metals etc.) of the samples was analyzed and Pearson's correlation analysis was performed. Quality of most compost samples met the standard of fertilizer specifications. Poultry compost contains greater nutrients especially $P_2O$ (p-value<0.01) and $NH_4$-N (p-value<0.05). Meanwhile swine compost has higher concentration in water content (p-value<0.05) and heavy metals (p-value<0.01 for Cd, Cu and Zn). Overall, poultry compost was correlated positively with nutrients while swine compost has positive correlation with water content and heavy metals. We expect that the study results can provide base data for determining compost types and amount for crop production.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• 제19권3호
• /
• pp.186-192
• /
• 2016

Purpose: To evaluate the correlation between colon transit time (CTT) test value and initial maintenance dose of polyethylene glycol (PEG) 4000 or lactulose. Methods: Of 415 children with chronic functional constipation, 190 were enrolled based on exclusion criteria using the CTT test, defecation diary, and clinical chart. The CTT test was performed with prior disimpaction. The laxative dose for maintenance was determined on the basis of the defecation diary and clinical chart. The Shapiro-Wilk test and Pearson's and Spearman's correlations were used for statistical analysis. Results: The overall group median value and interquartile range of the CTT test was 43.8 (31.8) hours. The average PEG 4000 dose for maintenance in the overall group was $0.68{\pm}0.18g/kg/d$; according to age, the dose was $0.73{\pm}0.16g/kg/d$ (<8 years), $0.53{\pm}0.12g/kg/d$ (8 to <12 years), and $0.36{\pm}0.05g/kg/d$ (12 to 15 years). The dose of lactulose was $1.99{\pm}0.43mL/kg/d$ (<8 years) or $1.26{\pm}0.25mL/kg/d$ (8 to <12 years). There was no significant correlation between CTT test value and initial dose of laxative, irrespective of the subgroup (encopresis, abnormal CTT test subtype) for either laxative. Even in the largest group (overall, n=109, younger than 8 years and on PEG 4000), the correlation was weak (Pearson's correlation coefficient [R]=0.268, p=0.005). Within the abnormal transit group, subgroup (n=73, younger than 8 years and on PEG 4000) correlation was weak (R=0.267, p=0.022). Conclusion: CTT test value cannot predict the initial maintenance dose of PEG 4000 or lactulose with linear correlation.

• 한국환경보건학회지
• /
• 제47권1호
• /
• pp.64-77
• /
• 2021

Objective: Biological monitoring of trace elements in human blood samples has become an important indicator of the health environment. The purpose of this study was to detect and evaluate multiple metal items in blood samples based on ICP-MS, to perform comparative evaluation with the existing analysis method, and to develop and verify a new method. Methods: 100 μL of whole blood from 80 healthy subjects was used to analyze ten metals (Sb, tAs, Cd, Pb, Mn, Hg, Mo, Ni, Se, Tl) using ICP-MS. Verification of the analysis method included calculation of linearity, accuracy, precision and detection limits. In addition, a comparative test with the conventional graphite furnace atomic absorption spectroscopy (GF-AAS) method was performed. In the case of Pb, Cd, and Hg in whole blood, cross-analysis between Pb, Cd, and Hg analysis methods was performed to confirm the difference between the existing method and the new method (ICP-MS). Results: The coefficient of determination (R2) was 0.999 or higher in seven items and 0.995 or higher in three items. The Pb result showed that Pearson's correlation coefficient was very high at 0.983, and the intraclass correlation coefficient was 0.966. The Cd result showed that Pearson's correlation coefficient was 0.917 between the existing method and the new analysis concentration value. Its intraclass correlation coefficient was 0.960, and there was no significant difference between the two groups. Hg had a low correlation at 0.687, and the intraclass correlation coefficient was 0.761, which was lower than that of Pb and Cd. The intra-day and inter-day accuracy of Pd and Cd were satisfactory, but Hg did not meet the criteria for both accuracy and precision when compared with the conventional analysis method. Conclusion: This study can be meaningful in that it proposes a more efficient and feasible analysis method by verifying a blood heavy metal concentration experiment using multiple simultaneous analyses. All samples were processed and analyzed using the new ICP-MS. It was confirmed that the agreement between the two methods was very high, with the agreement between the current and new methods being 0.769 to 0.998. This study proposes an efficient simultaneous methodology capable of analyzing multiple elements with small samples. In the future, studies of various applications and the reliability of ICP-MS analysis methods are required, and research on the verification of accurate, precise, and continuous analysis methods is required.