• Korean Journal of Adult Nursing
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• v.27 no.3
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• pp.262-272
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• 2015

Purpose: This study was conducted to examine the mutual reciprocal relationship between elders' ego integrity and depression including physical and psycho-social predictors of both variables. The study also investigated the significant predictors of elders' ego integrity and depression. Methods: Data were collected using a structured questionnaire from 137 elders. Results: Perceived health status, self-esteem, family interaction, and depression were significant predictors of ego integrity, whereas pain, self-esteem, and ego integrity were significant factors of depression. The results also showed that ego integrity and depression had reciprocal relationship with each other. Conclusion: Psycho-social factors might be more important to improve ego integrity and to alleviate depression in elderly subjects than physical factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.949-952
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• 2002

A regression model is used in predicting the response variable given predictor variables However, in case of large number of predictor variables, a regression model has some problems such as multicollinearity, interpretation of the functional relationship between the response and predictors and prediction accuracy. A clustering method and stepwise regression could be used to reduce the amount of data by grouping predictors having similar properties and by selecting the subset of predictors. respectively. This paper proposes a prediction method combining clustering method and stepwise regression. The proposed method fits a global model and local models and predicts responses given new observations by using both models. The paper also compares the performance of proposed method with stepwise regression via a real data of ample obtained in a steel process.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.3
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• pp.21-31
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• 2020

The study examined information retrieval tools as predictors for information resources utilization, four research questions, and four hypotheses were made to guide the study. A descriptive survey was adopted for the study. Random sampling technique was used to select sample of 393 from a population of 557 academic staff registered in the University of Port Harcourt library. The questionnaire was adopted as a data collection instrument titled Information retrieval as predictors for information resources utilization (IRPIRUQ). Data were analyzed using both simple and multiple regression while analysis of variance (ANOVA) associate with regression was used for testing the hypotheses at 0.05 alpha level. The study revealed that information resources are under utilized as the OPAC and Online Databases are not easily accessed. Further findings showed that the academic staff made use of internet search engines more often than the OPAC and online databases. It was recommended among others that a new library software be installed in place of KOHA for wider connectivity and adequate distribution of software that will aid usage of the online databases and OPAC.

• Journal of the Korean Home Economics Association
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• v.29 no.1
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• pp.203-216
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• 1991

Coping strategy and mid-life crisis were examined in a sample of 325 mid-life couples ranging in age 40∼59. Each participant was administered stressful life event scale, coping strategy scale, family cohesion scale and mid-life crisis scale. The results were as follows: 1. There is no significant differences between husbands and wives in the experiences of stressful life event, but the perceived stress level of wives significantly higher than the husband's. 2. Husbands seem to use problem solving strategy and wives seem to use restrain strategy more often. 3. Wives appear significantly higher mid-life crisis than husbands. Especially family cohesion and passive coping strategy have turned out to be significant on the mid life crisis of couples. Besides these predictors, experiences of stressful life event and perceived stress level are significant predictors for husband's mid-life crisis. As for wive's mid-life crisis, coping stratigies are significant predictors.

• Journal of the Korea Society for Simulation
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• v.8 no.3
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• pp.17-28
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• 1999

Recently studies have shown that conditional branches can be accurately predicted by recording the path leading up to the branch. But path predictors are more complex and uncompatible with existing pattern branch predictors. In order to solve these problems, we propose a simple path branch predictor(SPBP) that hashes together two most recent branch instruction addresses. In addition, we propose a pattern/path hybrid branch predictor composed of the SPBP and existing pattern branch predictors. Through the trace-driven simulation of six benchmark programs, the performance improvement by the proposed pattern/path hybrid branch prediction is analysed and validated. The proposed predictor can improve the prediction accuracy from 94.21% to 95.03%.

• International Journal of Contents
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• v.15 no.1
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• pp.1-9
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• 2019

Since the VR market is expected to have a high growth, this study aimed to investigate the human factor-related determinants of user satisfaction with mobile VR headsets. A pre-study of customer reviews was conducted with the help of semantic network analysis to identify the core keywords for understanding negative and positive predictors of mobile VR headset experiences. Through laboratory testing with three different commercial models, the main study measured and identified the predictors of user satisfaction. From the results, five factors were extracted as valid predictor variables and used for regression analysis. These factors were immersion, VR sickness, usability, wear-ability and menu navigation interface. All the five predictors were proved to be significant determinants of the perceived user satisfaction with mobile VR headsets. Usability was the strongest predictor, followed by VR sickness and wear-ability. Practical and theoretical implications of the results were discussed.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2733-2746
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• 2018

The two inverse regression estimation methods, SIR and SAVE to estimate the central space are computationally easy and are widely used. However, SIR and SAVE may have poor performance in finite samples and need strong assumptions (linearity and/or constant covariance conditions) on predictors. The two non-parametric estimation methods, MAVE and dMAVE have much better performance for finite samples than SIR and SAVE. MAVE and dMAVE need no strong requirements on predictors or on the response variable. MAVE is focused on estimating the central mean subspace, but dMAVE is to estimate the central space. This paper explores and compares four methods to explain the dimension reduction. Each algorithm of these four methods is reviewed. Empirical study for simulated data shows that MAVE and dMAVE has relatively better performance than SIR and SAVE, regardless of not only different models but also different distributional assumptions of predictors. However, real data example with the binary response demonstrates that SAVE is better than other methods.

• The Korean Journal of Health Service Management
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• v.13 no.2
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• pp.107-119
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• 2019

Objectives: This study is a descriptive research to investigate the predictors of intention to quit smoking in patients with acute coronary syndrome(ACS). Methods: A total of 192 ACS patients hospitalized for an angiogram during symptom management were conveniently recruited from a university hospital cardiovascular care unit. Data were collected from January to December in 2018 and were analyzed using binominal logistic regression. Results: The predictors of intention to quit smoking in patients with ACS were drinking(odds ratio[OR]=0.315, p=.006), experience of smoking cessation education(OR=0.325, p=.007), depression(OR=0.739, p<.001), and smoking-related self-efficacy(OR=1.091 p=.006). Conclusion: The findings suggest that the alleviation of depression and enhancement of smoking-related self-efficacy can prevent recurrence and enhance the treatment of ACS.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.435-454
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• 1999

The caregiving experiences of 100 family menbers of outpatients with schizophrenia and schizoaffective disorders were investigated for the presence of positive(positive family-patient relationship. patient' contribution to the family) and negative caregiving experience(objective and subjective burden) and their predictors. This study attempts to make the analysis of caregiving experience more useful by expanding the focus to incoporate these positive aspects of the experience of family caregiver. Objective burden consists of two elements: 'disruption of family life', 'care'(amount of caregiving related to activity of daily living). Subjective burden is defined as emotional reactions to the care giving and it comprised of 6 emotional subdimensions such as 'stigma', 'grief'. 'worry', 'pity', 'fear', 'despair'. Also we investigate the severity of patients' disturbing behaviors into two categories, positive and negative disturbing behaviors and patient' contribution to the family as a predictors of positive and negative caregiving experiences. This study use Pearson's correlation coefficient, Hierardhical regressions in the SAS Program. The results are as follows: 1. Respondents reported moderate level of objective burden 'disruption of family life' (mean = 2.48, range = 1-4), and 'care' (mean=2.54, range = 1-4), and slightly high level of total subjective burden(mean = 2.19, range = 1-4). Mean scores for the measure of the severity of behavioral disturbance indicated that the caregiver experienced negative disturbing behaviors around almost 'somtimes'(mean=2.28, range = 1-4), and positive disturbing behaviors 'almost not frequent'(mean=2.78. range=1-4). So they reported that they perceived patient's negative disturbing behaviors more than positive disturbing behaviors. Mean scores for the measure of the patient' contributions (mean = 1.99. range = 1-4) indicated that caregivers experienced these contributions a little. It means that there should be a positive aspect of possibilities of patient' family roles that can be developed in the daily life. Mean scores for the measure of the positive family-patient relationship indicated that caregivers experienced moderate level of positive family-patient relationship(mean=2.52, range = 1-4). 2. Hierardhical regression analysis 1) Hierardhical regression of 'disruption of family life' showed that the interaction between positive disturbing behaviors and patient' contributions (B = .20. p = .022) and caregiver's educational level(B=.06. p=.000) were 'significant and Hierardhical regression of 'care' showed that 'negative disturbing behaviors'(B= .35. p= .007). 'patient' contributions'(B= .28, p= .019). 'family income'(B=-.l1. p=.096) were significant. 2) Hierardhical regression of 'total subjective burden', 'stigma', 'grief', 'worry', 'pity'. 'fear', 'dispair' showed that 'positive disturbing behaviors'(B=.51. p=.000). 'negative disturbing behaviors' (B = .17, p = .026), 'caregiver's educational level'(B = .03. p=.036), 'family income'(B=.08. p=.041) were significant predictors of 'total subjective burden': 'positive disturbing behaviors'(B=.32. p=.066). 'negative disturbing behaviors'(B=.24, p=.096) 'durations of illness'(B= .03. p= .079) were significant predictors of 'stigma' 'negative disturbing behaviors'(B=.28. p=.005). 'patient sex'(B=-.32. p=.022). 'positive disturbing behaviors'(B=.28. p=.020), 'patient age'(B=.02. p=.010), 'caregiver age'(B=-01, p= .002) were significant predictors of 'grief' 'negative disturbing behaviors'(B= .28, p= .005). 'patient sex'(B= -.32. p=.039), 'caregiver age'(B=-.02, p= .023). 'caregiver's educational level'(B= .04, p = .044) were significant predictors of 'worry' 'patient sex'(B=-.46. p=.005). 'negative disturbing behaviors'(B= .28. p=.018), 'caregiver age'(B=-.01, p=.037) were significant predictors of 'pity' 'positive disturbing behaviors'(B=.83. p=.000). 'patient' contributions' (B = .22, p =.017). 'family income'(B=.09. p=.65) were significant predictors of 'fear' 'positive disturbing behaviors'(B=.49, p=.001). 'negative disturbing behaviors'(B= .24. p=.057) 'patient sex'(B=-.4l, p=.017), 'family income'(B=.14, p=.047) were significant predictors of 'dispair'. 3) Hierardhical regression of 'positive relationship' showed that 'patient contributions'(B=.32, p=.000). 'negative disturbing behaviors'(B= .24, p= .005), 'patient sex'(B=-.23, p=.036).

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.33-40
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• 2007

Processor pipelines have been growing deeper and issue widths wider over the years. If this trend continues, the branch misprediction penalty will become very high. Branch misprediction is the single most significant performance limiter for improving processor performance using deeper pipelining. Therefore, more accurate branch predictor becomes an essential part of modern processors. Several branch predictors combine a part of the branch address with a fixed amount of global branch history to make a prediction. These predictors cannot perform uniformly well across all programs because the best amount of branch history to be used depends on the program and branches in the program. Therefore, predictors that use a fixed history length are unable to perform up to their potential performance. In this paper, we propose a branch prediction mechanism, using variable length history, which predicts using a bank having higher prediction accuracy among predictions from five banks. Bank 0 is a bimodal predictor which is indexed with the 12 least significant bits of the branch address. Banks 1, 2, 3 and 4 are predictors which are indexed with different global history bits and the branch PC. In simulation results, the proposed mechanism outperforms gshare predictors using fixed history length of 12 and 13 , up to 6.34% in prediction accuracy. Furthermore, the proposed mechanism outperforms gshare predictors using best history lengths for benchmarks, up to 2.3% in prediction accuracy.