• Asian-Australasian Journal of Animal Sciences
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• v.16 no.9
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• pp.1280-1284
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• 2003

The number of protozoa and VFA content in the rumen fluid, in situ disappearance and turnover rate were examined with four rumen-fistulated cattle given either sugarcane stalk or Ruzi grass hay in order to clarify the manner of rumen digestion of sugarcane stalk. Cattle were given either sugarcane stalk or Ruzi grass hay at 1.0% of body weight level with commercial concentrate feed. Feeding sugarcane stalk reduced acetate content and increased propionate and butyrate contents in rumen fluid. While rapidlysoluble fraction of sugarcane stalk was 42%, the insoluble but potentially degradable fraction was only 17%. This clearly showed that sugarcane stalk mainly consisted of water soluble fraction (i.e. sugar) and tough fiber (i.e. bagasse). The ruminal degradation rate of both Ruzi grass hay and sugarcane stalk was lower in the animal given sugarcane stalk in comparison with those given Ruzi grass hay. While the turnover rate of liquid phase was about 50% higher in the animals given sugarcane stalk than in the animals given Ruzi grass hay, that of the solid phase was about 40% lower in the animals given sugarcane stalk. The effective degradability of DM of sugarcane stalk was higher than that of Ruzi grass hay. Sugarcane would be a promising roughage for ruminants in the tropics especially, in the dry season.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.1-13
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• 2022

This paper empirically explores the predicting ability of the newly proposed smooth transition (ST) time-varying combining forecast methods. The proposed method allows the "weight" of combining forecasts to change gradually over time through its unique feature of transition variables. Stock market returns from 7 countries were applied to Ad Hoc models, the well-known Generalized Autoregressive Conditional Heteroskedasticity (GARCH) family models, and the Smooth Transition Exponential Smoothing (STES) models. Of the individual models, GJRGARCH and STES-E&AE emerged as the best models and thereby were chosen for constructing the combined forecast models where a total of nine ST combining methods were developed. The robustness of the ST combining forecasts is also validated by the Diebold-Mariano (DM) test. The post-sample forecasting performance shows that ST combining forecast methods outperformed all the individual models and fixed weight combining models. This study contributes in two ways: 1) the ST combining methods statistically outperformed all the individual forecast methods and the existing traditional combining methods using simple averaging and Bates & Granger method. 2) trading volume as a transition variable in ST methods was superior to other individual models as well as the ST models with single sign or size of past shocks as transition variables.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.306-310
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• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1096-1107
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• 2019

In this paper, we present an ontology-based approach to labeling influential topics of scientific articles. First, to look for influential topics from scientific article, topic modeling is performed, and then social network analysis is applied to the selected topic models. Abstracts of research papers related to data mining published over the 20 years from 1995 to 2015 are collected and analyzed in this research. Second, to interpret and to explain selected influential topics, the UniDM ontology is constructed from Wikipedia and serves as concept hierarchies of topic models. Our experimental results show that the subjects of data management and queries are identified in the most interrelated topic among other topics, which is followed by that of recommender systems and text mining. Also, the subjects of recommender systems and context-aware systems belong to the most influential topic, and the subject of k-nearest neighbor classifier belongs to the closest topic to other topics. The proposed framework provides a general model for interpreting topics in topic models, which plays an important role in overcoming ambiguous and arbitrary interpretation of topics in topic modeling.

• Journal of Korean Academy of Nursing
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• v.46 no.6
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• pp.848-857
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• 2016

Purpose: This study aimed to investigate factors affecting frailty by age groups among vulnerable elders in Korea. Methods: In this secondary analysis, data were collected from records for 22,868 elders registered in the Visiting Health Management program of Public Health Centers in 2012. Health behaviors, clinically diagnosed disease, frailty, depression and cognitive condition were assessed. Data were analyzed using stepwise regression to determine the associated factors of frailty by age group. Results: Alcohol consumption, physical activity, number of diseases, DM, CVA, arthritis, urinary incontinence, depression and cognitive condition were found to be factors significantly associated with frailty among the elders aged 65~74 (F=135.66, p <.001). Alcohol consumption, physical activity, CVA, arthritis, urinary incontinence, depression and cognitive condition were found to be factors associated with frailty in the elders aged 75~84 (F=245.40, p <.001). Physical activity, CVA, arthritis, depression and cognitive condition were factors associated with frailty in the elders over 85 years of age (F=96.48, p <.001). Conclusion: The findings show that frailty of elders and associated factors were different by age group, and common factors affecting frailty were physical activity, CVA, arthritis, depression and cognitive condition. Thus, these factors should be considered in the development of intervention program for care and prevention of frailty and program should be modified according to age group.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.4
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• pp.306-311
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• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Korean System Dynamics Review
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• v.12 no.4
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• pp.125-156
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• 2011

The information service management models developed thus far have put their focuses mostly on technical dimensions of information systems (IS), finding their rationale from the goods-dominant logic (GDL) that IS as goods has value in itself. Information systems, however, is nothing more than a mechanism by which value is delivered to the users. According to the service-dominant logic (SDL), value is created and determined not at the time serve is made by the providers but at the time it is consumed by the users. The users therefore should be regarded as active value creators not as passive consumers of the value delivered by the providers. Based on the service-dominant logic, DISQM (Dynamic Information Service Quality Model) is developed. DISQM's backbone is designed in causal loop diagrams referring to and reinterpreting in systems thinking the 'Parasuraman, Zeithaml & Berry's GAP Model' and 'SERVQUAL' as an operational tool for the GAP Model, and the main IS success constructs are mapped onto the model exploiting the 'DeLone & MacLean's IS Success Model'. With VENSIM simulation software, this paper also shows how DISQM works in computer-simulation settings. After confirming DISQM's validity with the base simulation run, two scenarios are developed for the exemplary purpose and tested in terms of IS quality, service quality, and net benefits from the service for the public information service. Implications from the simulation runs are also discussed.

• Journal of Korean Public Health Nursing
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• v.15 no.2
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• pp.412-427
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• 2001

The purpose of this study is to provide a basis to recognize the health behaviors of middle-aged men that are constructive to a healthy life style. Data were collected from interview of questionnaires completed by 160 middle aged men living in Incheon from November 1 to 30, 2000. The questionnaires used in this study were obtained from publications on health related topics shown in literature review. These topics included : health concept, diseases, use of tobacco, alcohol, caffeine, drug, exercise and diet, cause of stress and stress management. The data were analyzed by descriptive statistics using the SPSS program. The results of this study were as follows. 1. $47.5\%$ of Middle aged men thought of concept of health as a doing daily living pattern. 2. $38.5\%$ of the middle aged men had illness or disease, which included hypertension, gastritis, disc, peptic ulcer, indigestion and DM. 3. $55.6\%$ of the middle aged men smoked cigarettes. Most of them the began to smoke due interest. 4. $72.5\%$ of the middle aged men drank alcohol. Most of them began drinking due to peer pressure. 5. $81.2\%$ of the middle aged men consumed caffeine-containing products. 6. $59.4\%$ of the middle aged men took drugs. Most of the drugs were digestant. vitamins and analgesics. 7. $25.2\%$ of the middle aged men exercised more than 2 times per week. 8. Most of causes of stress were economic difficulties and sickness. The method of stress management were alcolhol and use of tobacco mostly.

• Journal of Distribution Science
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• v.21 no.5
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• pp.11-18
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• 2023

Purpose: The purpose of this article is to determine whether there are differences in the level of return and risk of the conventional and Islamic capital markets. Research design, data and methodology: This study takes data on the Jakarta Islamic Index (JII) and the Liquid-45 (LQ45) stock groups in the 2017 to 2020 period. The research approach used is quantitative research with a type of comparison. The data used secondary data sourced from the closing price of shares on the Indonesia Stock Exchange. The statistical method used to test the hypothesis is a different test or independent sample t-test. Results: There is a significant difference between the rate of return and investment risk in JII and LQ-45. The rate of return and risk of investing in LQ-45 is higher than that of JII. Conclusions: There is a significant difference in the rate of return on investment in Jakarta Islamic Index (JII) and LQ-45, including conventional stock Liquid-45 (LQ-45) is higher than the rate of return on shares of JII shares. There is a significant difference in the level of investment risk in the Jakarta Islamic Index (JII) and the Liquid-45 (LQ-45), where the risk level for the LQ-45 is higher than that of the JII shares.

• Journal of Korean Foot and Ankle Society
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• v.6 no.1
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• pp.21-27
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• 2002

Pressure sores are an ulceration and necrosis of the skin and underlying tissue usually occur after prolonged or repeated pressure by interruption of blood flow from the small. vessels to the skin and deep tissue. The management of pressure sores is mostly difficult and requires prolonged hospitalization or repeated surgical interventions with a high recurrence rate. In this article we reviewed 14 cases of National Pressure Ulcer Advisory Pannel staging III, IV over the lateral malleolar area of the ankle in 2 years period from January 1999 to October 2001. The pressure over lateral malleolar area was mainly due to unique Korean sitting position with cross legs at flexed hips and knees or supine position of patient with external rotation of low extremity. Male to female ratio was 11: 3 and ages were between 36 and 83 (mean age: 67.1 years). Associated diseases were DM(7 cases), Hemiparesis caused by CVA(2 cases), Liver cirrhosis(2 cases), disarticulation of opposite hip due to squamous cell ca.(1 case), Intertrochanteric Fx.(1 case). Wound cultures reported Staphylococus, Pseudomonas and others. Abnormally elevated ESR and CRP were seen in 6 cases. Operative treatments were irrigation and debridement, direct closure with gravity drainage and skin grafting. The most important aspect of pressure sore treatment is pressure relief of the lateral malleolar area. Pressure-relieving Cast or Brace was helpful for local management and preventing recurrence.