• Title/Summary/Keyword: Probability Score

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Social Support and Quality of Life for the Elderly in Rural Areas (일 농촌지역 노인의 사회적 지지와 삶의 질)

  • Kang, Kyung-Sook
    • Research in Community and Public Health Nursing
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    • v.14 no.3
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    • pp.375-384
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    • 2003
  • The purpose of this study is to identify the amount of social support and quality of life perceived by elderly people in rural areas and to examine the relationship between social support and quality of life in an effort to provide the basic data for effective nursing intervention to enhance quality of life among elderly people. Data were collected from a sample of 220 elderly people aged over 60 from a stratified probability method from one rural area in South Jeolla province from Aug. 15 to Sep. 15, 2002. For data collection, pre-educated researchers visited the participants' homes and surveyed them face-to-face. The statistical analysis was performed using the SAS program along with t-test, ANOVA, and Pearson Correlation. The findings were as follows: 1. The most socially supportive people they answered were Spouses (57.28%), followed by children, friends/neighbors, in descending order. In terms of satisfaction about social support, the subjects felt the most satisfaction from spouses, followed by friends/neighbors, children, in descending order. 2. The participants' perceived social support was 26.0 and the highest score was 108.0 out of 125. Also, the average score and average grade point was 81.7 and 3.35, respectively. A comparison of the average grade points per items within sub-areas of social support revealed financial aid(3.56), informative support(3.34), emotional support (3.27), and evaluation support(3.22). 3. Their perceived social support had statistically significant differences in terms of how much they earned (F=18.56, p= .00001) and whether they had family members living together (F=2.68, p= .0512), quality of life had statistically significant differences in terms of how much they earned (F=35.34, p= 0.00001). 4. The quality of life they perceived was the lowest score 47.0, the highest score 196.0, average score 145.7, and average grade points 3.28. A comparison of the average grade points per items within sub-areas of quality of life revealed neighbor relationships(3.97), self-esteem(3.49), family relationships(3.35), economic conditions 3.12), physical health (2.98), and psychological health(2.74). 5. The relationship between the amount of the subjects' social support and quality of life was significantly correlated (r=.696, p< .001). The findings revealed that social support for elderly people in rural areas was a greatly effective factor on their quality, of life. Also, it was shown that the larger the social support for the elderly, the greater the quality of life for them. Therefore, it is necessary to foster geriatric nurse specialists and develop nursing intervention programs connected with health care and social wellbeing in order to enhance the quality of life of elderly people in rural areas. Also, it is necessary to develop effective models for community and its applications, which will playa leading role for elderly people.

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Successful Motor Evoked Potential Monitoring in Cervical Myelopathy : Related Factors and the Effect of Increased Stimulation Intensity

  • Shim, Hyok Ki;Lee, Jae Meen;Kim, Dong Hwan;Nam, Kyoung Hyup;Choi, Byung Kwan;Han, In Ho
    • Journal of Korean Neurosurgical Society
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    • v.64 no.1
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    • pp.78-87
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    • 2021
  • Objective : Intraoperative neurophysiological monitoring (IONM) has been widely used during spine surgery to reduce or prevent neurologic deficits, however, its application to the surgical management for cervical myelopathy remains controversial. This study aimed to assess the success rate of IONM in patients with cervical myelopathy and to investigate the factors associated with successful baseline monitoring and the effect of increasing the stimulation intensity by focusing on motor evoked potentials (MEPs). Methods : The data of 88 patients who underwent surgery for cervical myelopathy with IONM between January 2016 and June 2018 were retrospectively reviewed. The success rate of baseline MEP monitoring at the initial stimulation of 400 V was investigated. In unmonitorable cases, the stimulation intensity was increased to 999 V, and the success rate final MEP monitoring was reinvestigated. In addition, factors related to the success rate of baseline MEP monitoring were investigated using independent t-test, Wilcoxon rank-sum test, chi-squared test, and Fisher's exact probability test for statistical analysis. The factors included age, sex, body mass index, diabetes mellitus, smoking history, symptom duration, Torg-Pavlov ratio, space available for the cord (SAC), cord compression ratio (CCR), intramedullary increased signal intensity (SI) on magnetic resonance imaging, SI length, SI ratio, the Medical Research Council (MRC) grade, the preoperative modified Nurick grade and Japanese Orthopedic Association (JOA) score. Results : The overall success rate for reliable MEP response was 52.3% after increasing the stimulation intensity. No complications were observed to be associated with increased intensity. The factors related to the success rate of final MEP monitoring were found to be SAC (p<0.001), CCR (p<0.001), MRC grade (p<0.001), preoperative modified Nurick grade (p<0.001), and JOA score (p<0.001). The cut-off score for successful MEP monitoring was 5.67 mm for SAC, 47.33% for the CCR, 3 points for MRC grade, 2 points for the modified Nurick grade, and 12 points for the JOA score. Conclusion : Increasing the stimulation intensity could significantly improve the success rate of baseline MEP monitoring for unmonitorable cases at the initial stimulation in cervical myelopathy. In particular, the SAC, CCR, MRC grade, preoperative Nurick grade and JOA score may be considered as the more important related factors associated with the success rate of MEP monitoring. Therefore, the degree of preoperative neurological functional deficits and the presence of spinal cord compression on imaging could be used as new detailed criteria for the application of IONM in patients with cervical myelopathy.

Performance Evaluation Model for Future Weapon Systems (미래무기체계의 성능평가모형)

  • 김의환;최규명;정창모;김종윤
    • Journal of the military operations research society of Korea
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    • v.23 no.2
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    • pp.15-24
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    • 1997
  • In this paper we suggested a performance evaluation model for future weapon systems. Weapon Performance Index(WPI) model transform the characteristics of alternatives as indices. We can easily obtain WPIs of alternatives with the model. The highest WPI recommended as the best solution. The performance elements in hierachy for future weapon systems are determined by systems engineering procedure. Priorities in hierachy can be determined through survey of experts engineering procedure. Priorities in hierachy can be determined through survey of experts and statistical analysis. Utility function is formulated as a probability model and utility score is predicted on the basis of historical data about the same category of weapon systems in the world. WPI is calculate from sum of product of priorities and utility scores. The model can be applied to trade-off analysis, cost and effectiveness analysis, war game model.

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Resource Allocation for Guaranteeing QoE in Mobile Communication Networks

  • Lee, Moon-Ho;Lee, Jong-Chan
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.2
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    • pp.45-50
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    • 2017
  • This paper proposes a novel resource allocation scheme which allows to guarantee the user-perceived service quality for various high-quality mobile multimedia service such as interactive game, tactile internet service, remote emergency medical service or remote disaster handling robot control to a certain level in the mobile networks. In our proposed scheme, Mean Opinion Score(MOS), which represents the degree of user satisfaction for perceived quality, is determined based on the delay limit allowable to each service. Moreover resources are allocated in consideration of this MOS. Simulation results show that our proposed scheme can decrease the outage probability in comparison with existing schemes Moreover it can increase the total throughput as well.

The Analysis of Financial Factors and efficiency that influence on the Venture Business' Survival (벤처기업의 효율성과 재무요인이 기업의 생존에 미치는 영향 분석)

  • Song, Sung-Hwan;Gwon, Seong-Hoon;Hong, Soon-Ki;Yoo, Kyung-Jin;Bae, Young-Im
    • Korean Management Science Review
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    • v.27 no.1
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    • pp.107-116
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    • 2010
  • There are several stage in corporate's life cycle such as foundation, growth, maturity or bankruptcy. A bankruptcy is very important for corporate in the life cycle. Especially, venture business' life cycle is short compare to other type of corporate. A lot of venture businesses have emerged and bankrupted soon in the market. Venture businesses' survival or bankruptcy have been influenced by not only external environment like the rate of exchange, oil price, and foreign exchange crisis but also internal environment such as efficiency, process, human resources, finance and CEO. In this paper, we attempt to examine financial factors and efficiency that influence on the venture businesses' survival and bankruptcy. The more venture businesses have high efficiency score, the more they have high probability of survival.

Optimal Multi-Model Ensemble Model Development Using Hierarchical Bayesian Model Based (Hierarchical Bayesian Model을 이용한 GCMs 의 최적 Multi-Model Ensemble 모형 구축)

  • Kwon, Hyun-Han;Min, Young-Mi;Hameed, Saji N.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1147-1151
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    • 2009
  • In this study, we address the problem of producing probability forecasts of summer seasonal rainfall, on the basis of Hindcast experiments from a ensemble of GCMs(cwb, gcps, gdaps, metri, msc_gem, msc_gm2, msc_gm3, msc_sef and ncep). An advanced Hierarchical Bayesian weighting scheme is developed and used to combine nine GCMs seasonal hindcast ensembles. Hindcast period is 23 years from 1981 to 2003. The simplest approach for combining GCM forecasts is to weight each model equally, and this approach is referred to as pooled ensemble. This study proposes a more complex approach which weights the models spatially and seasonally based on past model performance for rainfall. The Bayesian approach to multi-model combination of GCMs determines the relative weights of each GCM with climatology as the prior. The weights are chosen to maximize the likelihood score of the posterior probabilities. The individual GCM ensembles, simple poolings of three and six models, and the optimally combined multimodel ensemble are compared.

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The Development of Evaluation Tools for Young Children's Math Ability based on Content Standards of NCTM (NCTM의 수학교육 내용기준에 근거한 유아수학능력 평가도구 개발)

  • Kim, Ji-Young
    • Korean Journal of Human Ecology
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    • v.17 no.1
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    • pp.35-43
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    • 2008
  • The purpose of this study is to develop evaluation tools for young children's mathematical ability based on the content standards of NCTM and to verify the suitability of the tools. The tools consist of 5 sub-tests with 90 items, including number and operation, algebra, geometry, measurement, data analysis and probability. The tool analysis was examined with 300 three-to five-years-old children and 31 math education professionals. The results of this research are as follows : First, in order of age the passing rate increased. The gap between high and low score group reveals a statistically meaningful difference. Second, the internal consistency reliability coefficient, Cronbach ${\alpha}$, is .96. Test-retest reliability is around .90. The concurrent validity correlation between this tools and Choi Hye-Jin's test(2003) is .85. The analysis of the content validity was proved appropriately by math education professionals.

Lane Detection Using Gaussian Function Based RANSAC (가우시안 함수기반 RANSAC을 이용한 차선검출 기법)

  • Choi, Yeongyu;Seo, Eunyoung;Suk, Soo-Young;Park, Ju H.;Jung, Ho-Youl
    • IEMEK Journal of Embedded Systems and Applications
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    • v.13 no.4
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    • pp.195-204
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    • 2018
  • Lane keeping assist and departure prevention system are the key functions of ADAS. In this paper, we propose lane detection method which uses Gaussian function based RANSAC. The proposed method consists mainly of IPM (inverse perspective mapping), Canny edge detector, and Gaussian function based RANSAC (Random Sample Consensus). The RANSAC uses Gaussian function to extract the parameters of straight or curved lane. The proposed RANSAC is different from the conventional one, in the following two aspects. One is the selection of sample with different probability depending on the distance between sample and camera. Another is the inlier sample score that assigns higher weights to samples near to camera. Through simulations, we show that the proposed method can achieve good performance in various of environments.

Performance improvement of text-dependent speaker verification system using blind speech segmentation and energy weight (Blind speech segmentation과 에너지 가중치를 이용한 문장 종속형 화자인식기의 성능 향상)

  • Kim Jung-Gon;Kim Hyung Soon
    • MALSORI
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    • no.47
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    • pp.131-140
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    • 2003
  • We propose a new method of generating client models for HMM based text-dependent speaker verification system with only a small amount of training data. To make a client model, statistical methods such as segmental K-means algorithm are widely used, but they do not guarantee the quality or reliability of a model when only limited data are avaliable. In this paper, we propose a blind speech segmentation based on level building DTW algorithm as an alternative method to make a client model with limited data. In addition, considering the fact that voiced sounds have much more speaker-specific information than unvoiced sounds and energy of the former is higher than that of the latter, we also propose a new score evaluation method using the observation probability raised to the power of weighting factor estimated from the normalized log energy. Our experiment shows that the proposed methods are superior to conventional HMM based speaker verification system.

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Assessing the Impacts of Project Interfaces in Construction Works in Nigeria

  • Okebugwu, Onyinyechi Francesca;Omajeh, Enoch Oghene-Mairo
    • Journal of Construction Engineering and Project Management
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    • v.5 no.1
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    • pp.20-25
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    • 2015
  • Interface management problems inherent in construction projects hamper their successful delivery. Therefore, this study aimed at determining the most important project interfaces in construction works in Nigeria in terms of most significant potential impacts, so that management attention are objectively focused on potential highest impacting project interfaces. From a review of literature, 28 project interfaces management issues were identified and categorized. Structured questionnaires were used to collect data concerning the impact (estimated losses to the project in terms of cost) and probability of occurrence of the identified interfaces. The interfaces were ranked using their computed Matrix Scores (MS). The results reveal that "project-workers interfaces problem manifested in use of inappropriate mixes" is the highest impacting. A ranking of the interface categories also reveal that the interfaces at the execution phase of a project (MS = 1226.79) are those that could result in the highest losses to the project.