• The Korean Journal of Rehabilitation Nursing
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• v.2 no.1
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• pp.29-44
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• 1999

This study was carried out to obtain basic data required to plan and develop Rehabilitation Day Care Program for the stroke Survivors at home in Korea. The subjects comprised of 118 stroke survivors who discharged from 4 hospitals in Seoul during the past 2 years. The data were collected from August 3, 1998 to September 18, 1998, through interviews with questionnaires about general characteristics, activities of dally living, depression and service need of rehabilitation day care program at the outpatient clinics by trained nursing graduates. Data were analyzed with descriptive analysis, Pearson's correlation analysis, and Stepwise multiple linear regression analysis using SPSS/WIN program. The results obtained are as follows ; 1. The mean score of the general need of rehabilitation day care program of stroke survivors was 2.78(range 1-4). The highest need among the service categories of the rehabilitation day care program was self-care and restorative activities category, and health services referral category, recreation category, psychosocial activities category in order. The needs of each category are as follows ; 1) In the health services referral category, the need for speech therapy was highest, followed by the need for physical therapy and occupational therapy. 2) In the psychosocial activities category, the need for self-help group was highest. 3) In the self-care and restorative activities category, the need for bathing was highest, followed by bowel training, and ambulation training. 4) The need for the recreation category was 2.62. 2. Among the need for the effect related to the utilization of day care program, the need for survivors' physical and psychological well-being was highest and was followed by the need for caregiver's physical and psychological wellbeing. Pearson's correlation analysis revealed following results ; 1. The need for rehabilitation day care program service displayed a correlation with the level of education, ADL, and the level of depression, and a reverse correlation with age. 2. The need for the effect related to the utilization of rehabilitation day program displayed a correlation with the level of education, ADL, and the level of depression. The stepwise multiple linear regression analysis revealed following results : 1. For the need for rehabilitation day care program service, 28.4% of the variance was initially explained by one variable, level of depression. The level of depression plus two variables, survivors' age and ADL, explained 34.2% of the variance in the need for rehabilitation day care program service. 2. For the need for the effect related to the utilization of rehabilitation day care program, 12.4% of the variance was initially explained by one variable, level of depression. The level of depression plus one variable, level of education, explained 20.4% of the variance in the need for the effect related to the utilization of rehabilitation day care program. In conclusion, above characteristics should be considered when we are planning to develop stroke survivors' rehabilitation day care program.

• Nuclear Engineering and Technology
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• v.47 no.2
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• pp.187-195
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• 2015

Human-induced initiating events, also called Category B actions in human reliability analysis, are operator actions that may lead directly to initiating events. Most conventional probabilistic safety analyses typically assume that the frequency of initiating events also includes the probability of human-induced initiating events. However, some regulatory documents require Category B actions to be specifically analyzed and quantified in probabilistic safety analysis. An explicit modeling of Category B actions could also potentially lead to important insights into human performance in terms of safety. However, there is no standard procedure to identify Category B actions. This paper describes a systematic procedure to identify Category B actions for low power and shutdown conditions. The procedure includes several steps to determine operator actions that may lead to initiating events in the low power and shutdown stages. These steps are the selection of initiating events, the selection of systems or components, the screening of unlikely operating actions, and the quantification of initiating events. The procedure also provides the detailed instruction for each step, such as operator's action, information required, screening rules, and the outputs. Finally, the applicability of the suggested approach is also investigated by application to a plant example.

• The Korean Journal of Food And Nutrition
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• v.25 no.1
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• pp.205-213
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• 2012

This study investigated the life cycle of menus and made suggestions on the appropriate time for when new menus should be developed. For this purpose, a total of 636 customers who visited 'T' Restaurant more than 25 times in the past three years were used for analysis. After estimating product life cycles based on sales and selling period, an empirical study was conducted. In terms of product life cycle, a growth stage was observed in the category of pasta and pizza in both stores A and B, whereas sales in the rice category stayed constant. Regarding trend in seasonal sales, a big difference was detected between the two stores. While store A was already in the decline stage of the life cycle in all menu categories, store B remained in the growth stage. In terms of menu life cycle, the product life cycle of long-lived products was observed in the pasta category in both stores A and B. While the pizza category was in the growth stage, the product life cycle of long-lived products was observed in the rice category. It is expected that the results of this study could be useful in development of new menus and product life cycle management to fulfill diverse customer needs in the dining-out business.

• Korean Management Science Review
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• v.34 no.2
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• pp.15-33
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• 2017

This paper considers a Bayesian Network analysis for understanding the heterogeneous cross-category effects of different promotion activities and developing an efficient overall promotion strategy for a large retail store. More specifically we differentiate price reduction promotion and floor promotion and study their heterogeneous effect on consumer purchase behavior under a market basket setting. We then utilize Bayesian networks in identifying complex association structure in market basket dataset by analyzing the effects of different promotional activities and also include the effects of time, family income and size. We find from our Bayesian network analysis that the dominant cross-category promotion effect of price promotion is the indirect effect whereas the dominant cross-category promotion effect of floor promotion is the direct effect. Also, among the demographic variables we find that family size of the household is linked with more product categories compared to income and see that there are differences in the extent of the effects by product category. Finally, we also show the existence of products acting as a network hub and how they can be utilized by retailers faced with a limited marketing budget and suggest a more efficient promotion strategy.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.25-38
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• 1998

The purpose of this study was to examine developmental trends in script-based organization strategy and relative influences of age, use of organizational strategy and category typicality of lists on children's recall. The subjects were 120 infant children, -40 four years old, 40 five years old, 40 six years old. All subjects were received 1 of 2 slot-filler lists of items differing in category representativness. Data were analysed by two-way Anova, Duncan's post-hoc test and Multiple Regression analysis. The major findings were as follows. 1. Recall and use of organizational strategy were increased with age. 2. At each age level, children showed high level of recall and organization strategy for category typical than category atypical. 3. Children's age, use of organizational strategy and category typicality of list significantly predicted children's recall. 42% of the variance of children's recall was explained by three variables. The relative influence of age to the prediction of children's recall was the strongest.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.11
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• pp.1781-1794
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• 2018

Objective: This meta-analysis was conducted to evaluate the overall effect of direct-fed microbial (DFM) or probiotic supplementation on the log concentrations of culturable gut microbiota in broiler chickens. Methods: Relevant studies were collected from PubMed, SCOPUS, Poultry Science Journal, and Google Scholar. The studies included controlled trials using DFM supplementation in broiler chickens and reporting log concentrations of the culturable gut microbiota. The overall effect of DFM supplementation was determined using standardized mean difference (SMD) with a random-effects model. Subgroups were analyzed to identify pre-specified characteristics possibly associated with the heterogeneity of the results. Risk of bias and publication bias were assessed. Results: Eighteen taxa of the culturable gut microbiota were identified from 42 studies. The overall effect of DFM supplementation on the log concentrations of all 18 taxa did not differ significantly from the controls (SMD = -0.06, 95% confidence interval [-0.16, 0.04], p = 0.228, $I^2=85%$, n = 699 comparisons), but the 18 taxa could be further classified into three categories by the direction of the effect size: taxa whose log concentrations did not differ significantly from the controls (category 1), taxa whose log concentrations increased significantly with DFM supplementation (category 2), and taxa whose log concentrations decreased significantly with DFM supplementation (category 3). Category 1 comprised nine taxa, including total bacterial counts. Category 2 comprised four taxa: Bacillus, Bifidobacterium, Clostridium butyricum, and Lactobacillus. Category 3 comprised five taxa: Clostridium perfringens, coliforms, Escherichia coli, Enterococcus, and Salmonella. Some characteristics identified by the subgroup analysis were associated with result heterogeneity. Most studies, however, were present with unclear risk of bias. Publication bias was also identified. Conclusion: DFM supplementation increased the concentrations of some beneficial bacteria (e.g. Bifidobacterium and Lactobacillus) and decreased those of some detrimental bacteria (e.g. Clostridium perfringens and Salmonella) in the guts of broiler chickens.

• Journal of the Korean Home Economics Association
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• v.32 no.4
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• pp.241-250
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• 1994

The purpose of this study was to categorize lifestyle patterns and to define the characteristics of the lifestyle of middle class residents in Seoul. Questionnaires were administered to 1572 homemakers in Seoul. Statistics with the SPSS software package for factor analysis and F-test was used. The results showed that the type of car which the residents owned was a major indicator to classify SEC(Socio Economic Class). The middle class was categorized into four groups which were relevant classifications based on determining indicators obtained from previous studies: the lower middle class which owned a Tico was classified into the Economy Concerned Lifestyle category the middle class which owned an Elantra was classified into the Health Concerned and Hobby Oriented Lifestyle category the upper middle calss which owned a Sonata was classified into the Interior Design and fashion Oriented Lifestyle category and the lower upper class which owned a Grandeur was classified into the Hobby and Fashion oriented Lifestyle category.

• The Korean Journal of Health Service Management
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• v.5 no.2
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• pp.77-89
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• 2011

This study conducted a secondary analysis by using original data of performed by Korea Institute for Health and Social Affairs to know factors affecting determinants of health using Lalonde model for the adults aged over 19 years living in Korea. The survey was conducted in 2009 and it evaluated finally 5,867 cases by excluding cases with no answer or a wrong answer. This study model adopted two categories of instrument measure health were objective (Average remaining lifetime) and subjective(EQ-5D) health status. The health determinants included in this study could be divided in to four categories, which were human biology, environment, lifestyle, and health care organization. The results were as follows. In the factors affecting average remaining lifetime, human biology were sex, ages, BMI, showed statistically significant difference, environment category were merry status, education showed statistically significant difference, lifestyle category were exercise, drunks showed statistically significant difference and health care organization category were vaccination, health screening showed statistically significant difference. In the factors affecting EQ-5D, human biology category and health care organization category showed with same average remaining lifetime, environment category were merry status, education, income showed statistically significant difference and lifestyle category were exercise, drunks, stress showed statistically significant difference. The results demonstrated that the best powerful factor was life style category and environment category, the least factor was health care organization category. So lifestyle style and environment category should be considered for the future health plan, budget allocation and the priority in the health care.

• Journal of Korean Society of Water and Wastewater
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• v.21 no.2
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• pp.165-175
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• 2007

Performance indicators haven't been used for the assessment of the wastewater treatment facility or management in Korea yet, therefore they are going to be important parts in wastewater utilities because they are used to understand present situation and to compare one with other wastewater utilities. In this study, we used performance indicators to assess the condition of wastewater utilities and they were divided into four categories (A, B, C, and D). A category represented the condition of the planning & construction and composed of wastewater supply, disaster defence and employees. B category represented maintenance of wastewater utilities and were composed of manhole, sewer, and technical employees. C category showed the operation efficiency of wastewater utilities and D category represented the environmental load. To analyze the situation of wastewater utilities overall, cluster analysis was performed using four categori' es indicators. And CCC (Cubic Clustering Criterion) and R-square were used to decide the proper number of clusters, and wastewater utilities of 48 cities were divided into 5 groups(I, II, III, IV, and V groups). Each cluster was analyzed by average and standard deviation to understand the situation of wastewater utilities. A group analysis showed that IV and V clusters were insufficient, B group showed that I and IV groups were insufficient, C group showed all clusters are above average, and D group was also like C group.

• Journal of Advanced Navigation Technology
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• v.13 no.3
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• pp.419-425
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• 2009

The amount of incoming e-mails is increasing rapidly due to the wide usage of Internet. Therefore, it is more required to classify incoming e-mails efficiently and accurately. Currently, the e-mail classification techniques are focused on two way classification to filter spam mails from normal ones based mainly on Bayesian and Rule. The clustering method has been used for the multi-way classification of e-mails. But it has a disadvantage of low accuracy of classification and no category labels. The classification methods have a disadvantage of training and setting of category labels by user. In this paper, we propose a novel multi-way e-mail hierarchy classification method that uses PCA for automatic category generation and dynamic category hierarchy for high accuracy of classification. It classifies a huge amount of incoming e-mails automatically, efficiently, and accurately.