• Journal of Families and Better Life
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• v.21 no.2
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• pp.131-144
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• 2003

Selective Optimization with Compensation (SOC), a concept defined by Baltes and Baltes, is known to predict successful aging. This study was conducted to find out which factors affect Korean elderly people SOC The data for this study were obtained from a survey conducted between March and May 2001, on a sample of middle-class male and female participants over 60 years old. Two hundred and fifty four completed questionnaires were used for final analyses. Descriptive statistics, t-test, ANOVA, Duncan test, Pearson correlations, multiple regressions, multiple response frequencies and sequential threshold methods were used to analyze the data. In order to measure successful aging, the Selective Optimization with Compensation Scale developed by Baltes, Baltes, Freud, and Lang (1996) was used. The SOC scale consists of four subscales, Elective Selection, Loss-based Selection, Optimization, and Compensation. The major findings are summarized in the following. First, the level of SOC by various socio-demographic variables was examined. It tuned out that health status is the most important variable in predicting SOC. Also important was satisfaction with family life. Second, significant correlations were found between SOC and duration of the marriage (negative), practicing a religion, health, and economic stability (all positive). Third, religion and health status affected SOC, but health was a stronger predictor Those who practiced a religion and were healthy had a higher score in SOC as a whole. Fourth, the participants were divided into three groups by their SOC score, and their idea.; of successful aging were compared. The top- and middle-score groups considered satisfaction with family life to be more important, whereas the bottom-score group regarded the social status as more important.

• Industrial Engineering and Management Systems
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• v.9 no.2
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• pp.88-96
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• 2010

This paper presents a two-phase quantitative framework to aid the decision making process for effective selection of an efficient freight logistics hub from 8 alternatives in Thailand on the North-South economic corridor. Phase 1 employs both multiple regression and Pearson Feature selection to find the important criteria, as defined by logistics hub score, and to reduce number of criteria by eliminating the less important criteria. The result of Pearson Feature selection indicated that only 5 of 15 criteria affected the logistics hub score. Moreover, Genetic Algorithm (GA) was constructed from original 15 criteria data set to find the relationship between logistics criteria and freight logistics hub score. As a result, the statistical tools are provided the same 5 important criteria, affecting logistics hub score from GA, and data mining tool. Phase 2 performs the fuzzy stochastic AHP analysis with the five important criteria. This approach could help to gain insight into how the imprecision in judgment ratios may affect their alternatives toward the best solution and how the best alternative may be identified with certain confidence. The main objective of the paper is to find the best alternative for selecting freight logistics hub under proper criteria. The experimental results show that by using this approach, Chiang Mai province is the best place with the confidence interval 95%.

• Physical Therapy Korea
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• v.11 no.1
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• pp.1-17
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• 2004

The purposes of this study were to find correlations among Fugl-Meyer Assessment scale, gait speed, and Timed Up & Go test (TUG) and to predict gait ability from subscales of Fugl-Meyer Assessment scale. The study population consisted of 30 stroke patients referred to the Department of Rehabilitation Medicine in the Bundang Jaesang General Hospital. All subjects were ambulatory with or without an assistive device. All participants were assessed on Fugl-Meyer Assessment scale and gait speed (m/s), TUG (s). The data were analyzed using independent t-test, Pearson product moment correlation analysis and stepwise multiple regression. The results revealed that all items of Fugl-Meyer Assessment scale, except passive joint range of motion were significantly correlated with gait speed and TUG. In particular, sensation score, lower extremity motor and coordination score have a significant correlation with gait speed and TUG (p<.05). The sensation score and lower extremity motor score were important factors in comfortable gait and maximal gait speed. Their power of explanation regarding comfortable gait and maximal gait speed were 63.0% and 65.0%, respectively. The sensation score and lower extremity coordination score were important factors in TUG. Their power of explanation regarding TUG was 55.0%. These results showed that Fugl-Meyer Assessment scale is significantly correlated with gait speed and TUG. Therefore Fugl-Meyer Assessment scale is an appropriate assessment tool to predict gait ability of patients with stroke. Further study about gait speed and TUG by change of Fugl-Meyer Assessment score is needed using a longitudinal study design.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.4
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• pp.7-13
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• 2005

Many domestic studies related to service quality are performed but the study on computing Service Quality Score is not yet activated. Because Service quality measurement plays an important role in assessing service performance and diagnosing service problems, it is very important that service quality is measured exactly. Therefore this study offered realistic approach method for computing Service Quality Score by using T.L. Saaty's Analytic Hierarchy Process technique. That is, Service Quality Score of this study is computed by using customer's priority(weights) for five dimensions(Tangible, Reliability, Assurance, Responsiveness, Empathy). This method is more realistic than the existing method computed by an arithmetical average of dimension's variables.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.112-127
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• 2006

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

• Asian-Australasian Journal of Animal Sciences
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• v.25 no.8
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• pp.1083-1088
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• 2012

The breeding value of marbling score in skeletal muscle is an important factor for evaluating beef quality. In the present study, we investigated proteins associated with the breeding value of the marbling score for bovine sirloin to select potential biomarkers to improve meat quality through comparative proteomic analysis. Proteins isolated from muscle were separated by two-dimensional gel electrophoresis. After analyzing images of the stained gel, seven protein spots for the high marbling score group were identified corresponding to changes in expression that were at least two-fold compared to the low marbling score group. Four spots with increased intensities in the high marbling score group were identified as phosphoglycerate kinase 1, triosephophate isomerase, acidic ribosomal phosphoprotein PO, and capping protein (actin filament) Z-line alpha 2. Spots with decreased intensities in the high marbling score group compared to the low score group were identified as 14-3-3 epsilon, carbonic anhydrase II, and myosin light chain 1. Expression of myosin light chain 1 and carbonic anhydrase 2 was confirmed by Western blotting. Taken together, these data could help improve the economic performance of cattle and provide useful information about the underlying the function of bovine skeletal muscle.

• Journal of Environmental Science International
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• v.16 no.1
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• pp.129-142
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• 2007

The main purpose of this study was to comprehensively evaluate the local agenda 21 of Daegu City based on the evaluation model and propose important measures to solve its problems and improve the limitations. As a whole, the evaluation result of the local agenda 21 of Daegu City showed very low score, only 151 points out of 500 points and revealed it was below the level in all three domains of making process, designed content, and evaluation of implementation. The making process got only score below the half in all large indicators of under-standing, driving, and rationality. This unsystematic and irrational process inevitably resulted in ambiguous and proclamatory content mainly expressing willingness to do. This fact means that the local agenda 21 of Daegu City has not served as the comprehensive local environmental plan containing visions, policies, ends and means. It did not suggest evaluation system and institutionalization of evaluation. These results of evaluation suggested that the existing local agenda 21 of Daegu City was neither useful nor effective and thus the totally new local agenda 21 should be prepared. Finally, important measures in making process, designed content and evaluation of implementation were proposed for the remaking.

• Journal of the Ergonomics Society of Korea
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• v.35 no.3
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• pp.125-133
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• 2016

Objective: The aim of this study is to figure out the level of Functional Movement Screen (FMS) of 122 automobile manufacturing workers and to set the FMS score for predicting risk of musculoskeletal disorders. Background: Although today's industrial sites have been becoming automated rapidly, the risks of work-related musculoskeletal disorders (WMSDs) have been on the rise. In the case of WMSDs, it is important to control WMSDs at the early stage. Early detection of WMSDs is very important for the successful treatment. However, the medical examination puts a great financial burden on most workers. To reduce their burden, there is one test to check the musculoskeletal functional condition and to predict the risk of injury, which is called FMS. Method: This research tested the FMS score of 122 workers at a motor company, and also conducted a questionnaire survey of individual characteristics and job characteristics. Results: For the 122 subjects, the average score of FMS is $14.63{\pm}2.27$. There is a negative correlation between FMS and their ages and BMI (p <0.05). FMS is higher when exercising regularly (p <0.05). The FMS scores of musculoskeletal disorder patients are lower than those of normal workers (p <0.05). While it is more likely to become a musculoskeletal disorder patient when FMS score is less than 14, it is more likely to become a normal worker when FMS score is more than or equal to 14. Conclusion: According to the result of FMS test, there is a score difference between individuals with musculoskeletal disorders and normal ones. FMS scores can also predict and identify workers with risk of the musculoskeletal disorders. Application: According to this study, FMS can be expected to have a positive effect on the prevention of WMSDs in worksites.

• Journal of Korean Academy of Nursing
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• v.38 no.5
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• pp.667-675
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• 2008

Purpose: The aim of this study was to compare the relation between differently measured sports activities (metabolic equivalent [MET] and peak strain score) and distal radius bone mineral density in college-aged women. Methods: lifetime sports activity was scored in two different ways: 1) a sports activity score by multiplying the intensity (METs) and duration and 2) a sports activity score by adding up physical strain scores based on the ground reaction force of each sports activities. Bone mineral density was measured using dual energy x-ray densitometry (DTX-200) in the distal radius site. Results: In stepwise multiple regression analysis, body weight and sports activities during the college period were significant positive predictors for distal radius bone mineral density. The explained variance of sports activity measured with a peak strain score (8.8%) for distal radius bone mineral density was higher than one measured with the MET score (3.3%). Conclusion: It can be concluded that sports activity scores based on MET and peak strain scores during college are very important for determining the bone mineral density in the distal radius site in women under 30.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.201-209
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• 2012

In the research, we develope and use the digital score card to prevent disqualifying with error as inputting wrong score card and to protect the player in this paper. Also, it will lead the world wide market as IT and golf strong country. Therefore, we checked the mutual relationship through the analysis and verification with research of contents and collection of questionnaire regarding the research. In the result of analysis, S/W need output function and data management to play golf and H/W need the simple design and durability for user easy access and multi function excluding score card. Therefore, the development of digital golf score card will contribute athletic performance through removing the inconvenience of current score card. And we confirmed that developed digital golf card model and system is very important to open world market.