• Title/Summary/Keyword: CORRELATION ANALYSIS

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The Relationship between Childhood Trauma Experience and Parent-Adolescent Reports of Problem Behavior : Comparison of Delinquent and General Adolescent (아동기 외상 경험과 문제행동에 대한 청소년 자신과 부모 평가 간의 관계 : 비행청소년과 일반청소년 비교)

  • Yu, Jaehak;Seo, Min-Jae;Park, Jisun
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.24 no.1
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    • pp.36-43
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    • 2013
  • Objectives : The aim of this study was to investigate correlation of childhood trauma experience and parent-adolescents' assessment reports on problem behavior through comparison of delinquent and general adolescents. Methods : First, delinquent adolescents and general adolescents were asked to complete the Childhood Trauma Questionnaire (CTQ). Then, 71 pairs of delinquent adolescents and their parents and 133 pairs of general adolescents and their parents were asked to complete the Korean Youth Self-Report (K-YSR) and the Korean Child Behavior Checklist (K-CBCL). Finally, responses from 410 people were used for the analysis. Results : First, childhood trauma experience score was significantly higher for delinquent adolescents, compared to general adolescents. Second, t-test showed a greater difference between K-YRS and K-CBCL for general adolescents than for delinquent adolescents. Third, in the case of delinquent adolescents, the correlation analysis of K-YSR filled out by adolescents and K-CBCL filled out by parents showed significant correlation in certain areas, including social immaturity, delinquent behaviors, internalization issues, and externalization issues. On the other hand, the correlation analysis of K-YSR and K-CBCL of general adolescents showed significant correlation in all sub-categories. Fourth, the correlation analysis of delinquent adolescents' CTQ and K-YSR showed minimal yet significant correlation in social adaptation, withdrawing, depression/anxiety, and delinquent/aggressive behaviors, however, no correlation was observed between CTQ and K-CBCL. The correlation analysis of general adolescents' CTQ and K-YSR, and CTQ and K-CBCL showed significant correlation in all sub-categories, although the degree of correlation varied. Conclusion : Delinquent adolescents had more childhood traumatic experiences. However, general adolescents' childhood traumatic experiences showed minimal yet significant correlation with various adaptation indicators and their parents responded in a similar way, indicating that general adolescents with childhood traumatic experiences need close care and attention even if they have not shown prominent delinquent behaviors.

Correlation Analysis Between Physical Properties of Linerboard and Score Crack (괘선터짐과 라이너지 물성간의 상관성 분석)

  • Chin, Seong-Min;Youn, Hye-Jung;Lee, Hak-Lae
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.41 no.1
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    • pp.30-36
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    • 2009
  • Cracking of scored or creased lines on boards is a serious problem in converting process of corrugated fiberboard. It is important to reduce the possibility of score crack in advance by controlling the related quality factors of linerboard. To find out the key properties affecting score crack, we carried out the correlation analysis between score crack and physical properties of linerboards. Score crack was evaluated by visual rating on surface crack after folding a linerboard using laboratory folding resistance tester. Thickness of linerboard was the most important factor to score crack. The critical limits of thickness and strain can be determined by correlation analysis for reducing the possibility of score crack.

Statistical Study on Correlation Between Design Variable and Shape Error in Flexible Stretch Forming (가변스트레치성형 설계변수와 성형오차의 상관관계에 대한 통계적 연구)

  • Seo, Y.H.;Heo, S.C.;Kang, B.S.;Kim, J.
    • Transactions of Materials Processing
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    • v.20 no.2
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    • pp.124-131
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    • 2011
  • A flexible stretch forming process is useful for small quantity batch production because various shape changes of the flexible die can be achieved conveniently. In this study, the design variables, namely, the punch size, curvature radius and elastic pad thickness, were quantitatively evaluated to understand their influence on sheet formability using statistical methods such as the correlation and regression analyses. Forming simulations were designed and conducted by a three-way factorial design to obtain numerical values of a shape error. Linear relationships between the design variables and the shape error resulted from the Pearson correlation analysis. Subsequently, a regression analysis was also conducted between the design variables and the shape error. A regression equation was derived and used in the flexible die design stage to estimate the shape error.

Analysis of presumed sodium intake of office workers using 24-hour urine analysis and correlation matrix between variables (24시간 소변분석을 통한 직장인의 나트륨 섭취 추정량 및 관련 변수와의 상관성 분석)

  • Kim, Hyun-Hee;Lee, Yeon-Kyung
    • Journal of Nutrition and Health
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    • v.46 no.1
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    • pp.26-33
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    • 2013
  • The purpose of this study was to investigate the sodium intake of office workers using 24-hour urine analysis and to analyze the correlation matrix between variables. The sodium intake of the subjects (n = 137), based on a 24-hr sodium excretion period, was male (n = 56) 6072.4 mg and female (n = 81) 5,168.2 mg. Urinary sodium excretion showed significant positive correlation with BMI, frequency of eating out, expenditure of eating out, salty taste assessment and high-salt dietary behavior. Analysis of urinary sodium excretion showed significant positive correlation with intake frequencies of cabbage kimchi, broiled fish, feast noodle and rice with leaf wraps. Based on the results of multiple regression, urinary sodium excretion was found to be related to intake frequencies of cabbage kimchi, broiled fish, rice with leaf wraps and high score of high-salt dietary behavior.

Analysis for Soil Pollution by Heavy Metals in the Area of Kyongbuk (경북지역 토양의 중금속 분석)

  • Dho, Hyon-Seung;Kim, Sung-Duk;Lee, Seung-Joo
    • Journal of the Korea Safety Management & Science
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    • v.12 no.2
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    • pp.231-236
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    • 2010
  • The investigation was initiated with data from 27 abandoned mines along with 12 locations in Kyongbuk abandoned mines. The analyses for soil pollution by heavy metal pollutants were conducted by using correlation analysis, cluster analysis, and principal component analysis. The correlation analysis indicated that Ni and pH were highly correlated compared to those of other heavy metal ions. The principal component analyses showed that the heavy metal ions might be classified into two catagories, such as antropogenic and lithogenic components. The cluster analysis was also clearly divided by two groups. The respective two groups might be Pb-Zn-Cd-Cu and As-Hg-Ni.

Moderating effect of self-esteem and depression on the correlation between the frequency of community volunteer activities and job consciousness in dental hygiene students

  • Lorentzen, Marcia H.;Lee, Young-Soo;Jang, Jong-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.18 no.6
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    • pp.1025-1035
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    • 2018
  • Objectives: This study examined dental hygiene students' frequency of participation in community volunteer activities, job consciousness, depression, and self-esteem, and then identified the correlation among them. We also analyzed the moderating effect of depression and self-esteem on the correlation between participation in community volunteer activities and job consciousness. Methods: We surveyed 312 dental hygiene students attending four universities in South Chungcheong Province, Korea, from May 2 to June 15, 2016, through direct visits. They were given structured questionnaires containing four items on community volunteer activities, three on job consciousness, ten on self-esteem, and 13 on depression. To examine the moderating effect of depression and self-esteem, we performed analysis of variance, correlation analysis, and structural equation modeling analysis (based on the path analysis model and by inserting interaction terms) using SPSS and AMOS. Results: We observed a negative correlation between self-esteem and depression (r=-0.062) but a positive correlation between self-esteem and job consciousness (r=0.125). Depression and job consciousness had a negative correlation (r=-0.176). Depression had a statistically significant impact on job consciousness (r=-0.519, p<0.01). The interaction term between depression and frequency of community volunteer activities also had a statistically significant influence on job consciousness (r=0.090, p<0.05). These findings indicate that depression moderates the correlation between frequency of community volunteer activities and job consciousness at a statistically significant level. Conclusions: More frequent participation in volunteer activities enhances dental hygiene students' self-esteem, reduces depression, and raises job consciousness. The positive impact of volunteering on self-esteem, depression, and job consciousness warrants encouraging students' participation in community volunteer activities, creating supportive structures, and developing various volunteer programs relevant to the students' area of study.

Development of Extracting System for Meaning·Subject Related Social Topic using Deep Learning (딥러닝을 통한 의미·주제 연관성 기반의 소셜 토픽 추출 시스템 개발)

  • Cho, Eunsook;Min, Soyeon;Kim, Sehoon;Kim, Bonggil
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.4
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    • pp.35-45
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    • 2018
  • Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

Canonical Correlation of 3D Visual Fatigue between Subjective and Physiological Measures

  • Won, Myeung Ju;Park, Sang In;Whang, Mincheol
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.6
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    • pp.785-791
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    • 2012
  • Objective: The aim of this study was to investigate the correlation between 3D visual fatigue and physiological measures by canonical correlation analysis enabling to categorical correlation. Background: Few studies have been conducted to investigate the physiological mechanism underlying the visual fatigue caused by processing 3D information which may make the cognitive mechanism overloaded. However, even the previous studies lack validation in terms of the correlation between physiological variables and the visual fatigue. Method: 9 Female and 6 male subjects with a mean age of $22.53{\pm}2.55$ voluntarily participated in this experiment. All participants were asked to report how they felt about their health sate at after viewing 3D. In addition, Low & Hybrid measurement test(Event Related Potential, Steady-state Visual Evoked Potential) and for evaluating cognitive fatigue before and after viewing 3D were performed. The physiological signal were measured with subjective fatigue evaluation before and after in watching the 3D content. For this study suggesting categorical correlation, all measures were categorized into three sets such as included Visual Fatigue set(response time, subjective evaluation), Autonomic Nervous System set(PPG frequency, PPG amplitude, HF/LF ratio), Central Nervous System set(ERP amplitude P4, O1, O2, ERP latency P4, O1, O2, SSVEP S/N ratio P4, O1, O2). Then the correlation of three variables sets, canonical correlation analysis was conducted. Results: The results showed a significant correlation between visual fatigue and physiological measures. However, different variables of visual fatigue were highly correlated to respective HF/LF ratio and to ERP latency(O2). Conclusion: Response time was highly correlated to ERP latency(O2) while the subjective evaluation was to HF/LF ratio. Application: This study may provide the most significant variables for the quantitative evaluation of visual fatigue using HF/LF ratio and ERP latency based human performance and subjective fatigue.

Study on Correlation between Pelvic Insufficiency and Lumbago Side - Through Analysis of Erect Pelvis X-ray - (골반 부전과 요통 발생 위치의 상관 관계에 대한 고찰 - 기립위 Pelvis X-ray 분석을 통하여 -)

  • Bae, U-Yeol;Kwon, Hun-Joon;Jung, Jong-Hoon;Lee, Jong-Hoon;Kim, Dong-Sub;Cho, Sung-Woo
    • Journal of Korean Medicine Rehabilitation
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    • v.23 no.3
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    • pp.79-85
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    • 2013
  • Objectives The aim of this study was to investigate pelvic insufficiency and its correlation with lumbago side. Methods 72 cases of patients who received treatment from March 2010 to February 2013 for lumbago were analyzed. Their pelvic insufficiency parameters were estimated by x-ray analysis and lumbago sides were considered. The data were analyzed to find out correlation of pelvic insufficiency parameters and correlation between parameters and lumbago sides. Pearson correlation and two-by-k cross tabulation analysis were used. Results 1) Iliac height difference had significant correlation with femur height difference and the result was alike previous studies' results. 2) Femur height difference and iliac height difference had no significant correlation with iliac width difference. 3) Posterior rotation malposition ilium side and inflare side had no significant correlation with lumbago side. Conclusions Iliac height difference had significant correlation with femur height difference and sides of pelvic insufficiency had no significant correlation with lumbago sides.

Relationship between Hydrologic Flux of Total Organic Carbon and Gross Primary Production (총 유기탄소의 수문학적 플럭스와 총 일차생산량 사이의 관계분석)

  • Park, Yoonkyung;Cho, Seonju;Choi, Daegyu;Kim, Sangdan
    • Journal of Wetlands Research
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    • v.14 no.4
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    • pp.503-518
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    • 2012
  • Models estimating carbon budget at land surface are mainly interested in vertical flux of carbon. On the other hand, studies on horizontal flux are obviously lacked to confirm that relationship between the hydrological flux of organic carbon discharged from catchment and terrestrial carbon production, a relation between Total Organic Carbon(TOC) and Gross Primary Production(GPP) tried analysis through cross correlation. The best correlation structure is correlation between GPP and TOC of flow-weighted mean concentration from watershed without delay. Furthermore, cross correlation analysis was performed by consider periodicity. The correlation between TOC and GPP in summer was similar to correlation without periodicity. Therefore, correlation between GPP and TOC was most regulated by the correlation between GPP and TOC at summer. As a result, the vegetation carbon and organic carbon from watershed is recognized a close relationship on the seasonal. Therefore, future research is correlation analyzing between vegetation variables according season, GPP and TOC, we are expected to use quantitative understanding that horizontal flux flow of carbon from the surface.