• Asian-Australasian Journal of Animal Sciences
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• v.24 no.10
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• pp.1335-1340
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• 2011

Different genetic parameters for weaning weight and wool traits were estimated using restricted maximum likelihood (REML) in Angora rabbits. Total wool yield of first (I), second (II) and third (III) clips were taken as a separate trait under study. The records from more than 2,700 animals were analysed through fitting six animal models with various combinations of direct and maternal effects. A log likelihood ratio test was used to select the most appropriate model for each trait. Direct heritability estimates for the wool traits were found to be moderate to high across different models. Heritability estimates obtained from the best model were 0.24, 0.22, 0.20 and 0.21 for weaning weight, clip I, II and III; respectively. Maternal effects especially due to permanent environment had higher importance at clip I and found to be declining in subsequent clips. The estimates of repeatability of doe effect on wool traits were 0.44, 0.26 and 0.18 for clip I, II and III; respectively. Weaning weight had moderately high genetic correlations with clip I (0.57) and II (0.45), but very low (0.11) with clip III. Results indicated that genetic improvement for wool yield in Angora rabbit is possible through direct selection. Further, weaning weight could be considered as desirable trait for earliest indirect selection for wool yield in view of its high genetic correlation with wool traits.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.10
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• pp.1378-1385
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• 2002

The importance of direct genetic, maternal, heterosis and epistatic effects were examined on post-weaning weight, height, length, girth, fat depth and muscle (ratio of stifle to hip width) with dry and wet season gains in these traits. The breeds used were two pure breeds (Jersey and Limousin), the Limousin${\times}$Jersey $F_1$, and two backcrosses ($F_1{\times}$Jersey dams and $F_1{\times}$Limousin dams). Direct genetic effects were large (p<0.001) for all traits except for length. Jersey maternal effects were large for weight, girth, fat depth and muscle in the post-weaning wet season gains which is an evidence of the impact of Jersey dam on progeny beyond weaning. There were large heterosis effects on fat depth and muscle relative to other traits. Epistatic effects were observed for post-weaning performance in weight, girth, fat depth and muscle. There are indications that there were different genetic effects for post-weaning compared to preweaning growth traits. Thus, it could be hypothesized from this study that different quantitative trait loci (QTL) affect early and late growth in Jersey and Limousin cross cattle breeds. The follow up work will examine the different chromosomal gene effects on pre- and post-weaning growth.

• Resources Recycling
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• v.32 no.1
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• pp.60-66
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• 2023

As supply chain management becomes a key factor in the sustainable growth of the industry, securing minerals at the national or corporate level is becoming important. Depending on the industrial structure, the economic status of each minerals is different and the supply risk is different In this study, to examine the economic status of minerals, an index that can quantify the Industrial Economic Importance by minerals was developed and calculated by reflecting the demand structure and cost weight of each industry. As a result, Li, Al, Cu, Si, Co, Ni, etc. were evaluated as having high industrial importance in Korea. In addition, by industry, Al, Cu, Zn, and Pb for primary metal manufacturing, general machinery, assembly metals,Sn, Ba, Ti, Si and Ga for precision equipment, Si and Ga for semiconductors, and Li, Ni, Co, Si, etc. for electronic components had high industrial importance. Such as Europe and the United States, in order to select Critical-minerals, Korea will need to analyze the economic impact on the domestic industry as well as the risks of supply chain by minerals.

• Journal of Nutrition and Health
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• v.32 no.1
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• pp.40-49
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• 1999

This study was conducted with 20 female gymnasts and 23 age-matched controls to examine pattern, weight control behavior and nutritional status. Most gymnasts(95.0%) reported that they used weight-control methods, while relatively few age-matched controls employed these methods. These methods included sauna(95.0%), food restriction(90.0%), excess exercise (70.0%), laxative abuse(10%) and use of diet pills(10%). Gymnasts had significantly (p<0.05) lower scores for statements related to 'sneaking food', 'vomiting after overeating', showing more negative eating behavior than age-matched controls. Energy intake of gymnasts was 968.9$\pm$421.4kcal while energy expenditure was 2,091$\pm$361kcal, showing negative evergy balance(-1,1225$\pm$534.6kcal). Female gymnasts consumed less than 70% of the RDA for protein, calcium, iron, vitamin A, thiamin, riboflavin and niacin, which reflects their low energy intake. The average intakes of calcium, iron, vitamin A, thiamin, riboflavin and niacin did not meet the recommended dietary allowances for their age groups. Adolescent athletes who train vigorously and consume a low-energy diet may be exposed to an increase in potential health risks. Therefore, individuals who advise athletic adolescents regarding training and dietary habits need to emphasize the importance of consuming an appropriate energy intake to support performance as well as growth and development. The sports nutritionist is in a position to convey such information to coaches, physicians, parents and to the athletes themselves.

• Journal of Technology Innovation
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• v.3 no.1
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• pp.55-83
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• 1995

This paper addresses three central decision-making problems frequently encountered in developing evaluation checklists for ex-post evaluation of R&D projects at private R&D centers: 1) what kind of evaluation elements and factors should be included in the evaluation forms\ulcorner 2) how much weight should be assigned to each evaluation factor and element\ulcorner and 3) could the same evaluation elements and factors with weights be applied all the project type(research, development, and engineering)\ulcorner To answer these questions, we identified the evaluation elements/factors based on the review of relevant literature and measured the perceptions of researchers, R&D managers, and top managements of the three private R&D centers to get the information about the importance levels of the elements and the weights of the factors for each of the three project types. The findings include that 1) all the evaluation elements derived from the literature exhibited high importance levels, and 2) the importance levels of the elements and the weights of the factors were quite varied along the project types. Theoretical and practical implications of the findings for ex-post evaluation of R&D projects are discussed.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.3
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• pp.45-58
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• 2016

Data are important in an organization because they are used in making decisions and obtaining insights. Furthermore, given the increasing importance of data in modern society, data governance should be requested to increase an organization's competitive power. However, data governance concepts have caused confusion because of the myriad of guidelines proposed by related institutions and researchers. In this study, we re-established the concept of ambiguous data governance and derived the top-level components by analyzing previous research. This study identified the components of data governance and quantitatively analyzed the relation between these components by using DEMATEL and context analysis techniques that are often used to solve complex problems. Three higher components (data compliance management, data quality management, and data organization management) and 13 lower components are derived as data governance components. Furthermore, importance analysis shows that data quality management, data compliance management, and data organization management are the top components of data governance in order of priority. This study can be used as a basis for presenting standards or establishing concepts of data governance.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.6
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• pp.109-114
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• 2016

This study executes Importance-Performance Analysis (IPA) on existing firefighter helmet attributes and gathers ideas for improvements from fire-fighting officers to develop a convergence firefighter helmet. The results of empirical analysis were as follows: First, the weight, head fitness, ease of wearing and removal, and ease of managing the existing helmet's attributes need urgent improvement. In addition, fire-fighting officers want to add innovative functions such as oxygen deficiency alarms, poison gas sensors, temperature sensors, and network communication systems to the convergence firefighter helmet under development.

• International Commerce and Information Review
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• v.11 no.4
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• pp.215-228
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• 2009

This research considers to analyze the importance and priority order of outsourcing partner selecting factors on plant exporters. This research deals with case study on the outsourcing in the "A" plants exporter. To obtain the goal this research, firstly, based on reviewing previous literature and taking professional advice, the selecting factors were identified and conceptualized, and we made the hierarchy model and utilized AHP in analysis method. Secondly, AHP model constructed 3 higher factors, and 9 lower factors. Thirdly, the data used for the weight values for the outsourcing partner factors were collected from outsourcing experts and officers in "A" company. The 3 higher factors were 'Firm's Competence', 'Customer/User Factor', and 'Systemic Factor', and the 9 lower factors were 'experience of outsourcing', 'competency based HR', 'market share', 'reliability', and 'communication', etc. As the results of the analysis, this research evaluated with an importance highest among selecting factors of outsourcing partner of "A" company were 'Customer/User Factor(46.5%)', 'Systemic Factor(27.8%)' and 'Firm's Competence(25.7%)'. And importance highest among lower selecting factors of outsourcing partner of "A" company were 'reliability(31.4%)', 'competency based HR(14.4%)' and 'communication(13.7%)'. The developed model and selecting factors of outsourcing partner are expected to contribute on effective decisions on plants exporters. Managerial implications and future research directions are suggested based on findings.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.5
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• pp.273-279
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• 2015

The vehicle has lots of embedded systems. Each of systems has its own role. In case of the vehicle, simple failure of system can be critical to driver. Therefore all of embedded system should be managed based on importance factors to be effective. In this paper, we consider the resilience as the importance factor for the driving system with ACC(Adaptive Cruise Control). We propose metrics to calculate the resilience of the embedded system. To get the resilience of system, we calculate the reliability and the resilience of nodes in the system using its failure rate. The resilience of whole system can be presented by the resilience of nodes and its weight. We calculate the resilience and compare the centralized structure and the distributed structure.

• Korean Management Science Review
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• v.11 no.2
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• pp.237-253
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• 1994

Technology measurement is related with how to construct indicators of technological change and relative ranking of technological sophistication. Many attempts have been made to understand the measurement of technology. However, technology measurement still remains little understood problem in spite of its importance. This article is concerned with improving the measurement of technology by introducing market factors into the model. It illustrate a simple approach to the measurement of technology. This approach is based on the characteristic-space paradigm of technology. A relative ranking of technological sophistication for a product is measurable as a set of characteristics. The main feature of the proposed approach is the combination of technical factors and market factors. Technical factors are reflected in the definition of technological sophistication. Market factors are embraced in the determination of the relative importance assigned to each technology defining characteristics. Thus, the weight is determined by technical factors and market factors, which differentiates the study from the past based on judgmental technique such as experts' opinion.