• Asian-Australasian Journal of Animal Sciences
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• v.29 no.3
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• pp.365-371
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• 2016

This study was aimed to evaluate the stability of conjugated linoleic acids (CLAs) by nano-encapsulation against in vitro ruminal biohydrogenation by microbial enzymatic conversion. CLAs (free fatty acid form of CLA [CLA-FFA], nano-encapsulated CLA-FFA, triglyceride form of CLA [CLA-TG], and nano-encapsulated CLA-TG) were used in the in vitro fermentation experiments. When Butyrivibrio fibrisolvens (B. fibrisolvens) was incubated with CLA-FFAs, the concentrations of cis-9, trans-11 CLA and vaccenic acid (VA) slightly was decreased and increased by nano-encapsulation, respectively. When B. fibrisolvens was incubated with CLA-TG, the concentrations of cis-9, trans-11 CLA and VA decreased, but these were increased when B. fibrisolvens was incubated with nano-encapsulated CLA-TG. The nano-encapsulation was more effective against the in vitro biohydrogenation activity of B.fibrisolvens incubated with CLA-FFA than with CLA-TG. In the in vitro ruminal incubation test, the total gas production and concentration of total volatile fatty acids incubated with nano-encapsulated CLA-FFA and CLA-TG were increased significantly after 24 h incubation (p<0.05). Nano-encapsulated CLA-FFA might, thus, improve the ruminal fermentation characteristics without adverse effects on the incubation process. In addition, nano-encapsulated CLA-FFA increased the population of Fibrobacter succinogenes and decreased the population of B. fibrisolvens population. These results indicate that nano-encapsulation could be applied to enhance CLA levels in ruminants by increasing the stability of CLA without causing adverse effects on ruminal fermentation.

• Journal of agricultural medicine and community health
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• v.33 no.1
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• pp.71-81
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• 2008

Objectives: Recently the care of cerebrovascular and cardiovascular disease is important as much as that of cancer care in public health, so the control of diabetes mellitus(DM) which is a risk factor of cerebrovascular and cardiovascular disease has been also important consideration.class(DM class) of a health center. Methods: Study subjects were 54 participants of DM class in a health center that had been held once a month, from January 2005 to March 2006.Results: Among the DM class participants, 67.3% participated by 50% or over in the DM clas.participants(p<0.05). In a comparison betwen more than 50% participation group and les than 50% participation group, more than 50% participation group got decreased level of blood sugar from 182mg/dl to 155mg/dl and less than 50% participation group also got decreased level from 172mg/dl to 156mg/dl. But Conclusion: DM clas of health center was effective program to manage diabetes mellitus patients in comunity.

• Journal of Dental Rehabilitation and Applied Science
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• v.28 no.1
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• pp.47-56
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• 2012

As attractive lips are important component of appealing faces, the study was conducted to investigate the association of mouth-breathing and thickness of lower lips in mouth-breathers and nasal-breathers. The subjects were 436 adolescent patients aged 8~18 years who took cephalometrics. The results were as follows. The ratio of lower lip thickness to that of upper lip thickness in mouth breathing and nasal breathing groups were $1.13{\pm}0.14$, $1.02{\pm}0.14$, respectively. According to subjects' skeletal pattern, the ratio in Class I sample was $1.05{\pm}0.09$. Class II subjects showed $1.20{\pm}0.12$, and Class III showed $0.97{\pm}0.11$. Mouth - breathers had higher lower/upper lip ratio than nasal breathers meaning their lower lips were thicker. Skeletal Class II patients group showed the most thickest lower lips among Class I, II, III subgroups.

• Korean Journal of Environment and Ecology
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• v.29 no.3
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• pp.454-461
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• 2015

This study aims to classify the biotope types based on the vegetation community in built-up areas by different land use and to map the plant communities. By classifying biotopes according to a taxonomic system, the characteristics of a biological community can be well-represented. The biotope classification indexes for the target area include human behavioral factors such as land use intensity, land-use patterns and land-cover types. The type classification was divided into four hierarchic ranks starting with Biotope Class, next by Biotope Group and Biotope Type and lastly by Biotope Sub-Type. The Biotope Class was first divided into two areas: the areas improved by humans and the areas unimproved by humans. The improved areas were again divided into permeable and non-permeable regions on the Biotope Group level. In the Biotope Type level, permeable paving areas were divided into areas with wide gap pavers and those with narrow gap pavers. The differential species of each biotope type are Lindera glauca, Conyza canadensis, Mazus pumilus, Vicia tetrasperma, Crepidiastrum sonchifolium, Zoysis japonica, Potentilla supina and Festuca arundinacea. The results of this study suggest that the biotope classification methodology, using a subjective phytosociological approach, is a useful and valuable tool and the results also suggest the possibility of applying more objective and scientific methods in mapping and classifying various environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.8096-8105
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• 2015

The purpose of this research is to understand influence of personal turnover factors and work turnover factors on job satisfaction in career decision-making and to analyze the moderating effects of supervisor support in their relations. Meaningful difference between one group with high supervisor support and other group with low supervisor support is demonstrated in regard with a course; job burnout ${\rightarrow}$ job satisfaction, and work overload ${\rightarrow}$ job satisfaction. Hence from a perspective of the course of job burnout ${\rightarrow}$ job satisfaction and work overload ${\rightarrow}$ job satisfaction, it can be argued that a group with low supervisor support yields more influence. Also it is shown that conflicts on balancing between job and family do not have influence on job satisfaction for either group with high supervisor support or with low supervisor support. As the result of the research shows, it bears a quite significant meaning that career development/lack of opportunity out of personal turnover intentions disclose difference between these two groups with different levels of supervisor support. Especially, a group of flight attendants which females are consisted of a majority of employees would require that their supervisors have more emotional interactions with each employee, so as that better opportunity would be given to the employees. To this end, utmost efforts are needed that deep and genuine relations with a supervisor can be built up.

• Ecology and Resilient Infrastructure
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• v.10 no.4
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• pp.107-115
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• 2023

High turbidity in source water can have adverse effects on water treatment plant operations and aquatic ecosystems, necessitating turbidity management. Consequently, research aimed at predicting river turbidity continues. This study developed a multi-class classification model for prediction of turbidity using LightGBM (Light Gradient Boosting Machine), a representative ensemble machine learning algorithm. The model utilized data that was classified into four classes ranging from 1 to 4 based on turbidity, from low to high. The number of input data points used for analysis varied among classes, with 945, 763, 95, and 25 data points for classes 1 to 4, respectively. The developed model exhibited precisions of 0.85, 0.71, 0.26, and 0.30, as well as recalls of 0.82, 0.76, 0.19, and 0.60 for classes 1 to 4, respectively. The model tended to perform less effectively in the minority classes due to the limited data available for these classes. To address data imbalance, the SMOTE (Synthetic Minority Over-sampling Technique) algorithm was applied, resulting in improved model performance. For classes 1 to 4, the Precision and Recall of the improved model were 0.88, 0.71, 0.26, 0.25 and 0.79, 0.76, 0.38, 0.60, respectively. This demonstrated that alleviating data imbalance led to a significant enhancement in Recall of the model. Furthermore, to analyze the impact of differences in input data composition addressing the input data imbalance, input data was constructed with various ratios for each class, and the model performances were compared. The results indicate that an appropriate composition ratio for model input data improves the performance of the machine learning model.

• Clean Technology
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• v.12 no.1
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• pp.45-51
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• 2006

Colloidal Liquid Aphrons(CLAs) were prepared from different solvents such as nonpolar hydrocarbons, alcohols, and amines. Water-soluble surfactant and oil-soluble surfactant were used in this study. The effect of PVR (phase volume ratio) and concentration of extractant on the stability of CLA was investigated. The stability of CLA was affected by PVR. As PVR was increased, the stability of CLA was decreased.

• Archives of design research
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• v.17 no.2
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• pp.463-470
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• 2004

This paper studied tangible interaction design of VR platform and its applications that are economic In development process and cost, flexible by contents and installation conditions, and that has business potential for consumer market. The design solution uses video based virtual world and tangible interaction by motion tracking. Our platform enables a user to monitor their action and to collaborate with other users of remote place within attractive interaction feedback. We developed two design applications, Glass Xylophone 2003 and VR Class, in our platform. Glass Xylophone 2003 provides interactive music performance and helps self practice of glass xylophone. VR Class gives more serious distance learning experience with tutoring and group collaboration. They are presented in public exhibitions and tested by exhibition visitors. They showed application potential of this design solution in interactive game, distance learning, and entertainment field.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.37-45
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• 2001

A survival variable is a non-negative random variable X with distribution function F(t) satisfying F(0) : 0 and a survival function F(t): 1-F(t). This variable is said to be New Better than Used of specified age t$_{0}$ if F(x+ t$_{0}$)$\leq$F(x).F(t$_{0}$) for all x$\geq$0 and a fixed t$_{0}$. We propose the test for H$_{0}$ : F(x+t$_{0}$)=F(x).F(t$_{0}$) for all x$\geq$0 against H$_1$: F(x+t$_{0}$) $\leq$ F(x).F(t$_{0}$) for all x$\geq$0 when the specified age to is unknown but can be estimated from the data when t$_{0}$=ζ$_{p}$, the pth percentile of F. This test statistic, which is based on the normalized spacings between the ordered observations, is readily applied in the case of small sample. Also, our test is more simple than Ahmad's test (1998). Finally, the performance of our test is presented.our test is presented.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.27-47
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• 2004

In this study, the experiment was made to transform the relationship among terms in a thesaurus to ontology language as search tools for multilingual text. As a result, the equivalent relationship in the thesaurus can be expressed by different ways in the ontology, such as equivalentClass, equivalentProperty, sameAS, and so on. On the other hand, the associative relationship can be represented by ObjectProperty, DatatypeProperty, and inverseOf. For this test, first of all, the descriptors assigned by AAT and the descriptors from bilingual thesaurus by ICCD were translated into Korean. Then, the facet was used for conceptual equivalence among terms from different languages. The result of the study showed that using rdf:Property in ontology was the most effective way of transforming multilingual thesaurus into ontology.