• Title/Summary/Keyword: Multiple-group analysis

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An Explorative Study on the Role Performance of Child Group Home Directors (아동공동생활가정 시설장의 역할수행에 대한 탐색연구)

  • Lee, Seulki;Yang, Sungeun
    • Journal of Families and Better Life
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    • v.35 no.1
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    • pp.59-69
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    • 2017
  • The purpose of the study was to investigate the roles of child group home directors and their experiences with children. The study utilised the interpretive science paradigm and individual in-depth interviews for data collection. The qualitative theme analysis method explored the experiences of child group home directors. The participants, seven group home directors in the metropolitan area of Seoul, explained their multiple roles such as protector, nurturer, discipliner, mediator, and supporter of children while recognizing dysfunctions of children's family of origin. Participants claimed that the specialization of the child group home and the professionalism of its staffs were needed in order to improve the quality of child welfare. The results of this study might contribute to practical suggestions for group home professionals.

Multiple Intraabdominal Solid Organ Injuries after Blunt Trauma (외상후 복부 다발성 고형장기 손상)

  • Park, Hyung Do;Kim, Sun Hyu;Lee, Jong Hwa;Hong, Jung Seok;Hong, Eun Seog
    • Journal of Trauma and Injury
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    • v.22 no.2
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    • pp.193-198
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    • 2009
  • Purpose: This study evaluated the characteristics and the prognosis of multiple intraabdominal solid organ injuries, including those to the liver, spleen, and kidney, after blunt trauma. Methods: From January 2001 to March 2009, 39 patients with multiple intraabdominal solid organ injuries, which had been confirmed by contrast-enhanced computed tomography after blunt trauma, were included in this retrospective study. The injury severity score (ISS), abbreviated injury scale (AIS), revised trauma score (RTS), American Association for the Surgery of Trauma (AAST) injury grade of solid organs, initial hemodynamic status, blood gas analysis, blood transfusion, and the mortality were the main outcome measurements. Results: Injured groups were classified into liver/kidney (n=17), liver/spleen (n=4), spleen/kidney (n=13), and liver/kidney/spleen (n=5) groups. Patients were older in the liver/kidney group than in the liver/kidney/spleen group (43 vs 18 years, p=0.023). The initial systolic blood pressures tended to be lower in the liver/kidney group than in the other groups (84 vs 105, 112, and 114 mmHg, p=0.087). The amounts of 24-hour packed RBC transfusion were 32 units in the liver/kidney group and 4 units in the liver/kidney/spleen group, but the difference was not statistically significant. Differences were found in neither the RTS, ISS, and AIS for head, chest, abdominal, and pelvic injuries nor the AAST injury grade for solid organ, but injuries to the chest were more severe in the liver/spleen group than in the spleen/kidney group (AIS 4.0 vs 2.8, p=0.028). Conservative treatment was the most frequent applied treatment in all groups. There were 6 mortalities : 3 due to hypovolemia, 2 to sepsis, and 1 to brain injury. Mortalities occurred only in the liver/kidney group. Conclusion: Patients who had intraabdominal solid organ injuries of the liver and the kidney simultaneously, tended to be transfused more at an early time after trauma, to have lower initial systolic blood pressures, and to have a higher mortality.

Approximate Life Cycle Assessment of Product Concepts Using Multiple Regression Analysis and Artificial Neural Networks

  • Park, Ji-Hyung;Seo, Kwang-Kyu
    • Journal of Mechanical Science and Technology
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    • v.17 no.12
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    • pp.1969-1976
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    • 2003
  • In the early phases of the product life cycle, Life Cycle Assessment (LCA) is recently used to support the decision-making for the product concepts, and the best alternative can be selected based on its estimated LCA and benefits. Both the lack of detailed information and time for a full LCA for a various range of design concepts need a new approach for the environmental analysis. This paper explores a new approximate LCA methodology for the product concepts by grouping products according to their environmental characteristics and by mapping product attributes into environmental impact driver (EID) index. The relationship is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then, a neural network approach is developed to predict an approximate LCA of grouping products in conceptual design. Trained learning algorithms for the known characteristics of existing products will quickly give the result of LCA for newly designed products. The training is generalized by using product attributes for an EID in a group as well as another product attributes for the other EIDs in other groups. The neural network model with back propagation algorithm is used, and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give some useful guidelines for the design of environmentally conscious products in conceptual design phase.

Performance Analysis of an Enhanced DQRUMA/MC-CDMA Protocol with an LPRA Scheme for Voice Traffic

  • Park, Jae-Yoon;Nam, Seung-Yeob;Sung, Dan-Keun;Jemin Chung
    • Proceedings of the IEEK Conference
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    • 2003.07a
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    • pp.43-48
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    • 2003
  • This paper presents a comparative evaluation of a modified version (A-Protocol) of the Distributed-Queueing Request Update Multiple Access (DQRUMA)Multi-Code Code Division Multiple Access (MC-CDMA) protocol and an enhanced version (P-Protocol) of the DQRUMA/MC-CDMA protocol with a lattice pool for request accesses (LPRA) scheme in a packet-based voice traffic environment. Analytical results agree with the simulation ones and show that the P-Protocol outperforms the A-Protocol in terms of the packet loss rate for voice traffic.

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Typologies and Characteristics of Adolescent-Peer Delinquency using Latent Class Analysis (잠재계층분석(LCA)을 이용한 청소년-또래 비행의 유형과 특성)

  • Park, Jisu;Kim, Ha Young;Yu, Jin Kyeong;Han, Yoonsun
    • Korean Journal of Child Studies
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    • v.38 no.2
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    • pp.165-176
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    • 2017
  • Objective: Delinquent peers are important predictors of adolescent delinquent behavior. Few studies have classified individuals into groups based on patterns of delinquent behavior among youth and their peers. This study identified latent groups based on adolescent-peer delinquency and examined psychosocial characteristics of each latent group. Methods: First, the study employed latent class analysis based on a nationally representative data of South Korean middle school students (N = 2,277). Both adolescent and peer delinquent behaviors comprised 13 items in the questionnaire that was self-reported by adolescents. Second, the study used multivariate regression models to analyze psychosocial symptoms of latent groups and conducted Wald tests to compare differences among latent groups. Results: Patterns of adolescent-peer delinquency were classified into six latent groups. "Mutual total delinquent group (1.2%)" showed high rates in most delinquent experiences. "Mutual status delinquent group (5.7%)" mainly experienced status delinquency, "Mutual violence delinquent group (5.3%)" showed high rates of violent delinquency. "Peer-only total high delinquent group (3.8%)" reported friends to have engaged in all types of delinquency and "Peer-only total medium delinquent group (11.8%)" reported peer involvement in multiple status and few violent delinquency. Finally, "low risk group (72.2%)" reported low rates of delinquency for themselves and their friends. Regression analysis showed that every "mutual" delinquent group presented significantly worse psychosocial problems than the "low risk group." Conclusion: Using person centered latent class analysis, this study classified six latent classes while considering both delinquent agents and various types of delinquency and investigated specific groups with greater risk of psychosocial problems.

The Prognostic Impact of Synchronous Ipsilateral Multiple Breast Cancer: Survival Outcomes according to the Eighth American Joint Committee on Cancer Staging and Molecular Subtype

  • Chu, Jinah;Bae, Hyunsik;Seo, Youjeong;Cho, Soo Youn;Kim, Seok-Hyung;Cho, Eun Yoon
    • Journal of Pathology and Translational Medicine
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    • v.52 no.6
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    • pp.396-403
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    • 2018
  • Background: In the current American Joint Committee on Cancer staging system of breast cancer, only tumor size determines T-category regardless of whether the tumor is single or multiple. This study evaluated if tumor multiplicity has prognostic value and can be used to subclassify breast cancer. Methods: We included 5,758 patients with invasive breast cancer who underwent surgery at Samsung Medical Center, Seoul, Korea, from 1995 to 2012. Results: Patients were divided into two groups according to multiplicity (single, n=4,744; multiple, n=1,014). Statistically significant differences in lymph node involvement and lymphatic invasion were found between the two groups (p<.001). Patients with multiple masses tended to have luminal A molecular subtype (p<.001). On Kaplan-Meier survival analysis, patients with multiple masses had significantly poorer disease-free survival (DFS) (p=.016). The prognostic significance of multiplicity was seen in patients with anatomic staging group I and prognostic staging group IA (p=.019 and p=.032, respectively). When targeting patients with T1-2 N0 M0, hormone receptor-positive, and human epidermal growth factor receptor 2 (HER2)-negative cancer, Kaplan-Meier survival analysis also revealed significantly reduced DFS with multiple cancer (p=.031). The multivariate analysis indicated that multiplicity was independently correlated with worse DFS (hazard ratio, 1.23; 95% confidence interval, 1.03 to 1.47; p=.025). The results of this study indicate that tumor multiplicity is frequently found in luminal A subtype, is associated with frequent lymph node metastasis, and is correlated with worse DFS. Conclusions: Tumor multiplicity has prognostic value and could be used to subclassify invasive breast cancer at early stages. Adjuvant chemotherapy would be necessary for multiple masses of T1-2 N0 M0, hormone-receptor-positive, and HER2-negative cancer.

Evaluation of User Satisfaction and Image Preference of University Students for Cherry Blossom Campus Trail (대학생들의 캠퍼스 벚꽃터널 산책로 이용 만족도와 이미지 선호도 평가)

  • Lee, In-Gyu;Eom, Boong-Hoon
    • Journal of Environmental Science International
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    • v.28 no.12
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    • pp.1101-1110
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    • 2019
  • This study investigated Post-Occupancy Evaluation (POE) of cherry blossom trails 'Cherry Road' in Daegu Catholic Univ. campus, at Gyeonsan-city, Korea. The evaluation focused on image preference and satisfaction of users i.e., students, using questionnaire surveys. A total 201 questionnaire samples were analyzed and most of the respondents were in the age group of 20. Frequency analysis was conducted on demographics, use behavior, reliability, and means. Factor analysis and multiple regression analysis were conducted for user satisfaction and image preference. Over 80% of visitors came with companions during daytime. The most common motives for use were strolling and walking, event and meeting, passing. For user satisfaction the mean scores were highest for landscape beauty (4.22), image improvement (4.14), campus image (4.08). Night lighting facility received the lowest score (3.32). Factor analysis concerning user satisfaction was categorized into environment-human behavior and physical factors. Multiple regression analysis showed that the overall satisfaction of user was significantly influenced by five independent variables: 'harmonious' (β=.214), 'night lighting facility' (β=.173), 'landscape beauty' (β=.208), 'lawn care' (β=.154), and 'walking trails' (β=.123). The mean scores of image variables were highest for 'beautiful' (5.81), 'bright' (5.67), and 'open' (5.64). The lowest scores was for 'quiet' (4.47). Exploratory factor analysis led to three factors being categorized: aesthetics, comforts, and simplicity. Result of multiple regression analysis indicated that the preference of space image was significantly influenced by five variables: 'bright' (β=.397), 'refreshing' (β=.211), 'cool' (β=.219), 'clean' (β=.182), and 'natural' (β=.-142). Hence, Cherry Road has a high level of user satisfaction and image evaluation, which is interpreted as having various cultural events and value for students on campus. To improve the satisfaction of Cherry Road in the future, it is necessary to secure night lighting, to manage trash cans, and to secure rest space.

Evaluation of the Relationship between the Exposure Level to Mixed Hazardous Heavy Metals and Health Effects Using Factor Analysis (요인분석을 이용한 유해 중금속 복합 노출수준과 건강영향과의 관련성 평가)

  • Kim, Eunseop;Moon, Sun-In;Yim, Dong-Hyuk;Choi, Byung-Sun;Park, Jung-Duck;Eom, Sang-Yong;Kim, Yong-Dae;Kim, Heon
    • Journal of Environmental Health Sciences
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    • v.48 no.4
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    • pp.236-243
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    • 2022
  • Background: In the case of multiple exposures to different types of heavy metals, such as the conditions faced by residents living near a smelter, it would be preferable to group hazardous substances with similar characteristics rather than individually related substances and evaluate the effects of each group on the human body. Objectives: The purpose of this study is to evaluate the utility of factor analysis in the assessment of health effects caused by exposure to two or more hazardous substances with similar characteristics, such as in the case of residents living near a smelter. Methods: Heavy metal concentration data for 572 people living in the vicinity of the Janghang smelter area were grouped based on several subfactors according to their characteristics using factor analysis. Using these factor scores as an independent variable, multiple regression analysis was performed on health effect markers. Results: Through factor analysis, three subfactors were extracted. Factor 1 contained copper and zinc in serum and revealed a common characteristic of the enzyme co-factor in the human body. Factor 2 involved urinary cadmium and arsenic, which are harmful metals related to kidney damage. Factor 3 encompassed blood mercury and lead, which are classified as related to cardiovascular disease. As a result of multiple linear regression analysis, it was found that using the factor index derived through factor analysis as an independent variable is more advantageous in assessing the relevance to health effects than when analyzing the two heavy metals by including them in a single regression model. Conclusions: The results of this study suggest that regression analysis linked with factor analysis is a good alternative in that it can simultaneously identify the effects of heavy metals with similar properties while overcoming multicollinearity that may occur in environmental epidemiologic studies on exposure to various types of heavy metals.

Regional Low Flow Frequency Analysis Using Bayesian Multiple Regression (Bayesian 다중회귀분석을 이용한 저수량(Low flow) 지역 빈도분석)

  • Kim, Sang-Ug;Lee, Kil-Seong
    • Journal of Korea Water Resources Association
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    • v.41 no.3
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    • pp.325-340
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    • 2008
  • This study employs Bayesian multiple regression analysis using the ordinary least squares method for regional low flow frequency analysis. The parameter estimates using the Bayesian multiple regression analysis were compared to conventional analysis using the t-distribution. In these comparisons, the mean values from the t-distribution and the Bayesian analysis at each return period are not significantly different. However, the difference between upper and lower limits is remarkably reduced using the Bayesian multiple regression. Therefore, from the point of view of uncertainty analysis, Bayesian multiple regression analysis is more attractive than the conventional method based on a t-distribution because the low flow sample size at the site of interest is typically insufficient to perform low flow frequency analysis. Also, we performed low flow prediction, including confidence interval, at two ungauged catchments in the Nakdong River basin using the developed Bayesian multiple regression model. The Bayesian prediction proves effective to infer the low flow characteristic at the ungauged catchment.

Timely Interventions can Increase Smoking Cessation Rate in Men with Ischemic Stroke

  • Lee, Min Jeong;Park, Eunjeong;Kim, Hyeon Chang;Lee, Hye Sun;Cha, Myoung-Jin;Kim, Young Dae;Heo, Ji Hoe;Nam, Hyo Suk
    • Journal of Korean Academy of Nursing
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    • v.46 no.4
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    • pp.610-617
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    • 2016
  • Purpose: Smoking cessation is strongly recommended for every smoker after ischemic stroke, but many patients fail to quit smoking. An improved smoking cessation rate has been reported with intensive behavioral therapy during hospitalization and supportive contact after discharge. The aim of this study was to demonstrate the usefulness of the timely interventions for smoking cessation in men with acute ischemic stroke. Methods: Patients who participated in the timely interventions strategy (TI group) were compared with those who received conventional counseling (CC group). In the TI group, a certified nurse provided comprehensive education during admission and additional counseling after discharge. Outcome was measured by point smoking success rate and sustained smoking cessation rate for 12 months. Results: Participants, 157 men (86 of the TI group and 71 of the CC group), were enrolled. Mean age was $58.25{\pm}11.23$ years and mean initial National Institutes of Health Stroke Scale score was $4.68{\pm}5.46$. The TI group showed a higher point smoking success rate compared with the CC group (p=.003). Multiple logistic regression analysis showed that the TI group was 2.96-fold (95% CI, 1.43~6.13) more likely to sustain smoking cessation for 12 months than the CC group. Conclusion: Findings indicate that multiple interventions initiated during hospital stay and regular follow-up after discharge are more effective than conventional smoking cessation counseling in men with acute ischemic stroke.