• Title/Summary/Keyword: Linkage model

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Bayesian Model Selection for Linkage Analyses: Considering Collinear Predictors (연관분석을 위한 베이지안 모형 선택: 상호상관성 변수를 중심으로)

  • Suh, Young-Ju
    • The Korean Journal of Applied Statistics
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    • v.18 no.3
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    • pp.533-541
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    • 2005
  • We identify the correct chromosome and locate the corresponding markers close to the QTL in the linkage analysis of a quantitative trait by using the SSVS method. We consider several markers linked to the QTL, as well as to each oyher and thus the i.b.d. values at these loci generate collinear predictors to be evaluated when using the SSVS approach. The results on considering only closely linked markers to two QTL simultaneously showed clear evidence in favor of the closest marker to the QTL considered over other markers. The results of the analysis of collinear markers with SSVS showeed high concordance to those obtained using traditional multiple regression. We conclude based on this simulation study that the SSVS is quite useful to identify linkage with multiple linked markers simultaneously for a complex quantitative trait.

Power of Variance Component Linkage Analysis to Identify Quantitative Trait Locus in Chickens

  • Park, Hee-Bok;Heo, Kang-Nyeong;Kang, Bo-Seok;Jo, Cheorun;Lee, Jun Heon
    • Journal of Animal Science and Technology
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    • v.55 no.2
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    • pp.103-107
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    • 2013
  • A crucial first step in the planning of any scientific experiment is to evaluate an appropriate sample size to permit sufficient statistical power to detect the desired effect. In this study, we investigated the optimal sample size of quantitative trait locus (QTL) linkage analysis for simple random sibship samples in pedigreed chicken populations, under the variance component framework implemented in the genetic power calculator program. Using the program, we could compute the statistical power required to achieve given sample sizes in variance component linkage analysis in random sibship data. For simplicity, an additive model was taken into account. Power calculations were performed to relate sample size to heritability attributable to a QTL. Under the various assumptions, comparative power curves indicated that the power to detect QTL with the variance component method is highly affected by a function of the effect size of QTL. Hence, more power can be achievable for QTL with a larger effect. In addition, a marked improvement in power could be obtained by increasing the sibship size. Thus, the use of chickens is advantageous regarding the sampling unit issue, since desirable sibship size can be easily obtained compared with other domestic species.

Analysis of the Ripple Effect of Digital Transformation in the Shipbuilding & Offshore Plant Industry (조선해양플랜트산업의 디지털 전환에 따른 파급효과 분석)

  • Young-Gyu Lee;Woon-Seek Lee;Se-Hoon Park;Young-Seok Ock
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.spc
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    • pp.9-18
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    • 2023
  • In the global manufacturing industry, digital transformation is emerging as an important issue for companies to improve productivity and strengthen industrial competitiveness. The government and shipbuilding companies drive research and development to attain advanced technologies through digital transformation for shipbuilding & offshore plants, one of Korea's representative manufacturing industries. Therefore, the digital transformation of the shipbuilding & offshore plant industry was defined using an input-output analysis model, and the economic interrelationships of industries linked to the digital transformation of the shipbuilding & offshore plant industry were analyzed. According to the analysis, the shipbuilding & offshore plant industry ranks second among all 34 industries regarding the forward linkage effect. The backward linkage effect was ranked 27th, making it a mid-demand industry with a robust forward linkage effect. In addition, the production-induced effect was 0.455, the value-added-induced effect was 0.174, and the employment-induced effect was 1.779 people per billion won. The contribution of this study is that it will provide the basis for establishing policies necessary to strengthen the competitiveness of the shipbuilding & offshore plant industry. Also, it will help analyze the economic effects of digital transformation in other manufacturing industries.

A Competitive Study on the Linkage Effects of Primary Industry among Korea, China and Japan (한국, 중국, 일본의 1차 산업의 생산유발효과 비교 연구)

  • Im, Ji-Won;Lee, Sang-Gun
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.5
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    • pp.103-118
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    • 2018
  • This study compared the production inducement effects of primary industries between Korea, China, and Japan for the period from 2000 to 2014, by examining the forward and backward linkage effects using the World Input-Output Tables. Although research on the industrial effect of primary industries has been conducted actively, this study is contributive since it compares the differences in industrial linkage effects between Korea, China, and Japan. According to Fisher(1939)'s and Clark(1957)'s classifications of primary industries, this study classified agriculture, forestry, fishing, and mining industries as primary industries. The analysis methodology of this study is to use the World Input-Output Tables to create the industry linkage model between Korea, China, and Japan, and then conduct a comparative analysis. According to the results of this study, the forward and backward linkage effects of agriculture industry between Korea, China, and Japan are significantly different, while the forward and backward linkage effects of forestry and fishing industries between Korea, China, and Japan are partially different. By comparing the changes in industrial dependencies of primary industries due to the 4th Industrial revolution between the three countries, this study suggested the future development direction of primary industries.

Development of a public health care linkage model within the community care system in Daejeon City (대전광역시 지역사회 통합돌봄 체계내에서 공공보건의료 연계 모델 개발)

  • Lim, Ji-Yeon;Ahn, Na-Na;Lee, Seok-Goo;Ahn, Soon-Ki
    • Journal of agricultural medicine and community health
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    • v.47 no.1
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    • pp.1-13
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    • 2022
  • Objectives: This study aimed to establish a linkage model involving regional responsible medical institutions after analyzing the existing conditions and deriving problems through qualitative analysis within the community care system. Methods: A total of 14 participants of this study were selected through the snowball sampling method, including 7 community care service providers and 7 service users. As for the research data, primary data were collected through interviews, and as a result of analyzing according to Aday&Anderson' model, a total of 5 catergories, 8 topics, and 22 sub theme were derived. Results: The problem derived from the interview is that division services are provided for each institution due to the absence of a key central institution of community care system, and users' commercial institutions is unclear. The second is the inconsistency between the needs and supply for community care, resulting in a possibility of delay in returning to the community after discharge. Based on these problems, it is necessary to unify it as an community care window of the Dong-community center. In addition, there is a need for public health centers to play an active role, and to establish a public-private joint system with the Health and Living Support Center to establish a model that can play a certain role. Conclusions: Therefore, based on the results of this study, it can be used as basic data when constructing community care model and applying it as an expanded model in the future.

A Trend Analysis of Technology Innovation based on the Knowledge Flow of Science and Technology (과학기술 지식흐름과 기술혁신 추세분석: 지식흐름 분석모델의 탐색적 연구)

  • Park, Hyun-Woo
    • Knowledge Management Research
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    • v.7 no.2
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    • pp.13-34
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    • 2006
  • This paper is an exploratory study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we need to look into the characteristics of how knowledge is created in science, technology and industry to start with. Based on the characteristics we find, we have to understand the relationships between science, technology and industry, and construct a model to link them to each other for future empirical studies. In this study, we take a general view of the existing study results and theoretical models on the characteristics and linkage of scientific and technological knowledge. Moreover, we examine the preliminary framework to link science to technology to industry for further study on the knowledge flow of science and technology. Finally, we present the direction for future study by using the examined models and framework.

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Adaptive Current Control Scheme of PM Synchronous Motor with Estimation of Flux Linkage and Stator Resistance

  • Kim, Kyeoug-Hwa;Baik, In-Cheol;Chung, Se-Kyo;Youn, Myung-Joong
    • Proceedings of the KIPE Conference
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    • 1996.06a
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    • pp.17-20
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    • 1996
  • An adaptive current control scheme of a permanent magnet (PM) synchronous motor with the simultaneous estimation of the magnitude of the flux linkage and stator resistance is proposed. The adaptive parameter estimation is achieved by a model reference adaptive system (MRAS) technique. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. The predictive control scheme is employed for the current controller with the estimated parameters. The robustness of the proposed current control scheme is compared with the conventional one through the computer simulations.

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A Study on the Effect of Job Embeddedness on Organizational Citizenship Behavior and Job Performance (직무 임베디드니스가 조직시민행동과 직무성과에 미치는 영향에 관한 연구)

  • Lee, Sun-Kyu;Lee, Ung-Hee
    • Journal of Digital Convergence
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    • v.6 no.2
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    • pp.107-115
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    • 2008
  • This paper aims to examine the main factors of the job embeddedness on organizational citizenship behavior and job performance. To accomplish these purposes, the main factors of the job embeddedness such as fit, linkage, and sacrifice were found from the previous studies. The questionaries of 250 were distributed to the employees working at the Gumi Industrial Complex. The questionaries of 220 were obtained and 204 were analyzed through frequencies, correlation and multiple regression. The results of this study are as follows; First, we conducted exploratory factor analysis for three constructs (fit, linkage, and sacrifice) using oblique rotation method that did not assume independence among the factors and main factors of job embeddedness were grouped together by three factors. Second, it is shown that three main factors of job embeddedness have a positive influence on the organizational citizenship behavior and job performance (p<0.05). This study, however, have limitations of number of sample and survey area. The future study should consider these limitations in improving model applicability in practice.

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