• Journal of English Language & Literature
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• v.57 no.1
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• pp.73-105
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• 2011

The purpose of this paper is to contend the importance of resurrection of fluid identity and ecological imagination for making the habitable biosphere in Marilynne Robinson's Housekeeping. Ruth as a narrator suggests the future-oriented vision that the environment and nature(mother) can be resurrected, crossing Fingerbone bridge of the boundary line of society/nature as a faithful follower of her aunt Sylvie and becoming the existence with a transparent voice despite of her absence. This novel is to rewrite the American pastoral. Based on the patriarchical way despite of the absence of Edmund Foster, Sylvia's conventional housekeeping is to divide between inside and outside of the house. Nevertheless, Sylvia's relentless efforts to keep her house intact turns out to be fragile. Contrasting with Sylvia, Sylvie's housekeeping is to recognize the continuity of inside and outside. She willingly accepts the reconciliation of the self, the nature and the society. After Ruth and Lucille's staying at night in the lake, they are diverged into going their own way. Ruth accepts Sylvie as a substitute mother. Lucille leaves the house voluntarily and go to her Home Economics teacher, Miss Royce, pursuing the ideal mother of symbolic society. Sylvie and Ruth has the more intimate bond, with their trip to the deserted house in the valley. Ruth meditates on the non-solidity of house and the resurrection of her family. Leaving their house to escape from the town people's legal enforcement, Sylvie and Ruth become transients. Although their history is completed by the drown-death publicly, they always want to visit Lucille's well kept house in Fingerbone. Therefore the method for making Ruth and Sylvie as the existences of ecological imagination return to the real world is to accept the reconciliation of nature and society. This novel is not limited as the binary opposition of vagrance/stability and transience/durability. The significant element of fluid identity can be composed of the interactions with transience and stability.

• Journal of Veterinary Science
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• v.24 no.3
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• pp.48.1-48.13
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• 2023

Background: Senecavirus A (SVA), a member of the family Picornaviridae, is newly discovered, which causes vesicular lesions, lameness in swine, and even death in neonatal piglets. SVA has rapidly spread worldwide in recent years, especially in Asia. Objectives: We conducted a global meta-analysis and systematic review to determine the status of SVA infection in pigs. Methods: Through PubMed, VIP Chinese Journals Database, China National Knowledge Infrastructure, and Wanfang Data search data from 2014 to July 26, 2020, a total of 34 articles were included in this analysis based on our inclusion criteria. We estimated the pooled prevalence of SVA in pigs by the random effects model. A risk of bias assessment of the studies and subgroup analysis to explain heterogeneity was undertaken. Results: We estimated the SVA prevalence to be 15.90% (1,564/9,839; 95% confidence interval [CI], 44.75-65.89) globally. The prevalence decreased to 11.06% (945/8,542; 95% CI, 28.25-50.64) after 2016. The highest SVA prevalence with the VP1-based RT-PCR and immunohistochemistry assay was 58.52% (594/1,015; 95% CI, 59.90-83.96) and 85.54% (71/83; 95% CI, 76.68-100.00), respectively. Besides, the SVA prevalence in piglet herds was the highest at 71.69% (119/166; 95% CI, 68.61-98.43) (p < 0.05). Moreover, our analysis confirmed that the subgroups, including country, sampling year, sampling position, detected gene, detection method, season, age, and climate, could be the heterogeneous factors associated with SVA prevalence. Conclusions: The results indicated that SVA widely exists in various countries currently. Therefore, more prevention and control policies should be proposed to enhance the management of pig farms and improve breeding conditions and the environment to reduce the spread of SVA.

• Korean Journal of Ecology and Environment
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• v.46 no.1
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• pp.1-9
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• 2013

Algal blooms in potable water supplies are becoming an increasingly prevalent and serious water quality problem around the world. In addition to precipitating taste and odor problems, blooms damage the environment, and some classes like cyanobacteria (blue-green algae) release toxins that can threaten human health, even causing death. There is a recognized need in the water industry for models that can accurately forecast in real-time algal bloom events for planning and mitigation purposes. In this study, using data for an interconnected system of rivers and reservoirs operated by a New Jersey water utility, various ANN models, including both discrete prediction and classification models, were developed and tested for forecasting counts of three different algal classes for one-week and two-weeks ahead periods. Predictor model inputs included physical, meteorological, chemical, and biological variables, and two different temporal schemes for processing inputs relative to the prediction event were used. Despite relatively limited historical data, the discrete prediction ANN models generally performed well during validation, achieving relatively high correlation coefficients, and often predicting the formation and dissipation of high algae count periods. The ANN classification models also performed well, with average classification percentages averaging 94 percent accuracy. Despite relatively limited data events, this study demonstrates that with adequate data collection, both in terms of the number of historical events and availability of important predictor variables, ANNs can provide accurate real-time forecasts of algal population counts, as well as foster increased understanding of important cause and effect relationships, which can be used to both improve monitoring programs and forecasting efforts.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.169-174
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• 2018

Today, the world has reached 'Industry 4.0'. Industry 4.0 has high uncertainty in various aspects because it is based on building a smart chain where the various elements that make up the industry can communicate with each other. Based on the above facts, based on the researches of the previous researchers, we have searched for the countermeasures of small and medium sized manufacturing companies in Korea in order to minimize the negative aspects of establishing the basic concepts and functioning of Industry 4.0. As a result, efforts to accurately identify and address the uncertainties of Industry 4.0 in a variety of ways will help to drive business growth and economic growth in the country through smart factories, which are at the heart of Industry 4.0.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.2
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• pp.129-140
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• 2012

Korea Atomic Energy Research Institute(KAERI) invested the technology and made the Research Institute Company, SunBioTech with Korea Colma in 2006. It is the first Research Institute Company, based on the 'Law for Daedeok Innopolis Development'. this company made a product of HemoHim which is the supportive functional food for the cancer treatment. This technology is very unique and get the Triad Patent Families. This paper deal with the new technology based innovation and the product is very sensitive because of the consumer oriented. We study the successful technology commercialization process of HemoHim and suggest a implication for the company and decision makers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.1-11
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• 2014

This study examines the performance of the successful small and medium size firms in their early stage. No sign of widespread chasm or the death valley among the sample firm is identified. More than half the sample firms had made reasonable forecast on the uncertainty of their future business before they were incorporated. Overall results of empirical studies carried out in this article allow us to assert that the difficulties experienced in the early stage are mostly manageable within the organization. This implies that the Government support for start-ups in early stage should be discouraged. Empirical investigation across different periods reveals, however, that the Government may have significant roles to play when it comes down to controlling the macroeconomic shocks.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1381-1384
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• 2006

본 연구는 21C 프론티어사업과 같이 상용화를 전제로 하는 기술개발사업의 파급효과 정량화를 위하여, 기술의 분석뿐이 아닌 기술개발로 인하여 산출되는 제품과 이를 수요하게 될 산업 간의 연관도의 작성을 제안한다. 그 사례로서 기술 개발의 실용화를 통하여 물관리 효율을 높이고 친환경적으로 신규 수자원을 개발하여 예상되고 있는 한국의 물부족 나아가서는 세계의 물문제의 해결을 목표로 하고 있는 수자원의 지속적 확보기술개발사업단의 기술을 분석한다. 기술개발사업의 최종목표가 상용화를 통하여 달성된다면 개발하고 있는 기술의 경제적 가치 분석 작업에는 당연히 최종수요자에 대한 고려가 있어야 할 것이다. 그러나 일반적으로 기술개발자는 기술의 개발 시 수요자에 대한 고려가 미흡하며, 수요자 역시 개발자에게 충분한 정보를 주지 못하고 있다. 이로 인하여 수많은 정부주도 기술개발사업에는 이른바 Valley of Death, 즉 기술은 개발되었으나 상용화의 벽을 넘지 못하고 사라져 가는 현상이 매우 빈번히 나타나고 있다. 이를 해결하기 위하여 개별기술평가에 기존의 기술연관도나 산업연관도와 달리 이들을 기술개발단계별로 연결하여주는 가칭 '기술-제품-산업연관도'의 작성을 제안한다. 이를 통하여 기술개발로 인하여 궁극적으로 산출되는 제품과 이들을 수요하는 산업들간의 연관관계를 확인할 수 있어 연구 포트폴리오 구성, 기술가치평가 및 공정분석기법의 적용범위 체계화, 수자원의 지속적 확보 기술의 기술이전 및 실용화를 촉진하기 위한 전략 마련에 도움을 줄 수 있을 것이다. 본 연구에서 제안하는 기술-제품-산업 연관도를 통해 수자원의 지속적 확보기술의 정량적 성과평가가 더욱 용이하여지며, 특히 수요자간의 의견수렴절차에서 매우 긴요하게 쓰일 수 있어, 기술개발사업의 타당성을 확보할 수 있으며, 개발기술의 상용화율 제고 및 잠재수요층 개발과 기업 투자자와 정부관계자의 이해도 중진을 통한 사업진행효율 증대를 기대할 수 있다. 또한 본 연구는 각종 개발기술의 파급효과 분석의 가이드라인으로 활용될 수 있으며 다른 기술분야 평가에도 객관적이고 타당성 있는 평가 틀로서 활용 가능할 것이다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.6
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• pp.59-76
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• 2019

Most technology-based entrepreneurship(TBE) go through an process of decline or disappear without overcoming the valley of death(VoD). The purpose of this study is to identify the growth dimension of TBE and to test the influence of firms activities on firms growth over time. This study identified the two-dimensional growth dimension divided by size and profit through exploratory factor analysis(EFA) of a number of growth indicators. Then, we defined the discrete state of growth firm in four states, divided by size and profit, and five states, including the closure of business. Multi-nomial logit model is used to predict the effect of TBE activities on a discrete state of growth firm(size×profit, closure of business) based on multiple independent variables. The independent variables are based on five representative firms activities: employment, marketing, R&D, financial activities, and general management activities. The growth stage of TBE over time has been categorized into three stages: early stage, middle stage, and late stage of business, taking into account the main periods during which the survival rate of startups sharply decreases. The analytical data of this study was based on the secondary data of the start-up supporting companies of government and public institutions. The subjects of analysis were TBE within 10 years. As a result of the empirical analysis, the employment and marketing activities of TBE show that early and mid-term activities had an effect on the state of firms growth. However, if there is a difference, employment activities have both positive and negative effects, while marketing activities have only a positive effect on size and profit growth. And besides, R&D activities, financial activities, and general management activities throughout the entire process of firms growth were found to be firms activities that have both positive and negative effects on firms growth. In addition, the age of the founder, the firms' industry, and the geographic location of the firms, which are general characteristics of the company, were found to have a distinctive effect on the growth status of the firms according to the growth stage.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.147-161
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• 2017

Korea is a country having shortage of natural resources, but to overcome this issue and to nurture national competitiveness it is challenging for national-lead economic policy, citizen's dedicated efforts and technological innovation for achieving economic growth. Since the financial crisis, the government has boldly promoted policies to nurture venture companies to make structural adjustments for the sophistication of the industrial structure and job creation. Various policies for establishing the foundation of the entrepreneurial ecosystem in which the process of start-up, growth, recovery and reinvest are virtually circulated are presented by the Business Incubators. Recently the Business Incubators neither present a direction differentiated from the vocation of Business Incubator, and nor the operating methods for leading the changing of Business Incubator environment, which threatening the role of Incubating and growing early startup companies. In order to explore the development change of the business incubator, in this research we analyzed the published papers from 1998 to 2016 of business incubator government polices, research methods, related research topics and other major variables. The analysis of the research trends of business incubator revealed the lack of depth case studies, diversity of research topics, and the study of certain limited variables. For the development of the business incubator, case studies of the institutions which carried out excellent incubator and research on the incubation system of the institutions, that are similar to the incubation center are required. This research suggest further research on the case studies of excellent business incubator and agencies, and the center director and manager, which is the center of human resources, and hopes for the revitalization of business incubator researches.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.41-54
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• 2017

The purpose of this study is to find out how the support system of the government and the local governments for enhancing the success rate of the startup firms affected the performance of the enterprises according to the behavior characteristics of the founders. It is divided entrepreneurial support system into entrepreneurial policy support such as entrepreneurial education, mentoring and consulting, and funding of startup support such as policy fund and R & D fund, distinguished the behavior of founder into behaviors for discovery of entrepreneurial opportunities and behaviors for exploiting entrepreneurial opportunities. In order to analyze whether it affects the corporate management performance, a research model was created based on the previous research and hypotheses were set up, and the hypotheses were verified based on this questionnaire. The results of this study are as follows: First, it is found that the support for entrepreneurial policy has a positive effect on the behavior characteristics of entrepreneur. Second, it is found that the startup support such as policy fund affects the behavioral characteristics for finding the opportunity of the founder, but it does not affect the behavioral characteristics for the opportunity exploit. Third, it was found that the behavior characteristics of entrepreneur founding opportunity and exploition of entrepreneurial opportunity influenced the performance of the company. According to the this study, the following conclusion were obtained, First, it is necessary to apply different policies according to the stage of growth of startup companies. Second, startup companies grow through the stages of development of new technologies and ideas, commercialization, and marketing, at each stage, entrepreneur must overcome the so-called Death Valley, which requires funding.