• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.4
• /
• pp.2429-2432
• /
• 2013

Background and Objectives: Yanting in Sichuan Province is one of the highest risk areas of esophageal cancer (EC) in the world. We here summarize the epidemiology of EC in Yanting using data from the national screening programme during 2006-2011. Methods: Random cluster sampling was used to select a proportion of natural villages from six towns in Yanting, and residents aged 40-69 years old were invited for screening. Participants were screened using endoscopy with iodine staining and then confirmed by histological examinations. Results: The overall detection rates of low-grade hyperplasia (LH), moderate hyperplasia (MH), high-grade hyperplasia (HH), carcinoma in situ (CIS), intramucosal carcinoma (IC) and invasive carcinoma (INC) were 5.33%, 1.28%, 0.68%, 0.15%, 0.06% and 0.29%, respectively. The detection rates of LH, MH, HH and INC increased with age, reaching the peak among those aged 60-65 years, and the prevalences of LH and MH were higher among men than among women. In addition, the detection rates of hyperplasia were much higher in mountainous than in hilly areas. Conclusions: Among the high risk population, there are a great number of people with early-stage EC or precancerous conditions who do not have presenting symptoms. In particular, the elderly, men, or those living in mountainous areas are the most vulnerable population. It is therefore important to reinforce health education and screening services among such high risk populations.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2003.05b
• /
• pp.281-282
• /
• 2003

The significant spring-time phenomenon known as the "Yellow Sand" influences not only regional but also global climate. It′s believed that frequency of yellow-sand events has increased in recent years. To investigate the possible factors inducing these special strong weather phenomenon and its impacts on meteorological elements, intensive sampling will be conducted by ADEMRC/KJIST from March to May 2003. Lagrangian trajectory (forward and backward), cluster analysis, factor analysis and satellite remote sense (SRS) techniques will be employed to inspect the mechanisms of yellow-sand. (omitted)

• Journal of the Economic Geographical Society of Korea
• /
• v.19 no.3
• /
• pp.423-436
• /
• 2016

In a densely developed metropolitan area, the subway system is often constructed to address the mobility problems. Subway system was first introduced in Seoul in late 1970s, then Korean metropolitan cities began to adopt the system later. Subway systems not only resolve the mobility problems, but also interact with regional socioeconomic landscape. This study aims to find the association between the subway network and land rent within the subway catchment areas in Gwangju metropolitan city in a spaciotemporal framework. The analysis results indicated that proximity to the subway station and the size of nearest road were positively associated with the land rent. Also from a cluster analysis, it was found that the old and new Central Business Districts as well as stations at peripheral areas had distinctive land rent change characteristics. This empirical analysis indirectly proves the strong association between land rent and urban planning and also the positive relationship between land rent and transportation networks.

• Journal of Korean Library and Information Science Society
• /
• v.49 no.3
• /
• pp.429-458
• /
• 2018

In this study, based on the results of analyzing the facilities and operation of the public libraries in Iksan, several strategies that may contribute to its regional development have been established. The strategies are as follows. The first one is to hire more librarians to perform the role of libraries at the advanced level that are suitable for the ever-growing library facilities. The second is the plan for specialization of the libraries, which was proposed with each subject suitable for each library such as History Culture, Modern and Local Culture, Jewelry and Precious metal, Food Cluster, Female, Administration & Welfare, and Environment & Ecology by matching the urban policies and characteristics of Iksan with these library. The others are the operation of English library in the way suggested in this study and the establishment of youth library to build up the role of the libraries in educational city. Through these strategies, the overall function and role of the public libraries in Iksan can be strengthened and emphasized.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.398-401
• /
• 2009

The purpose of this study is to develop New-IT internship and to search for the way to reduce quality mismatch and unemployment ratio and to ultimately enhance its effectiveness of university-industry collaboration(UIC) in the field of information technology in Korea. To achieve the goal of this study, we tried to come up with more job creation than working on educational collaboration between university and industry. The survey based on the reaction of companies and interns participating in IT internship program promoted by MKE(Ministry of Knowledge and Economy) shows that intern experience helped them to get jobs and longer intern period gave them to find job more easily. Intern companies preferred to local college students majoring in special technology area related to regional innovation industry cluster. It also found that intern companies wanted to hire interns who had some project experiences and theoretical knowledges. IT Internship program affected students good images about small and medium enterprises(SME) after finishing internship.

• Journal of Fisheries and Marine Sciences Education
• /
• v.27 no.1
• /
• pp.273-283
• /
• 2015

This study was carried out to examine the species composition and community structure of benthic marine algae at the subtidal zones of Daepo, Wolpyeong, Wimi and Jigwido in south Jeju, Korea from March to December 2009. Total 87 species including 14 green algae, 23 brown algae, and 50 red algae were collected and identified. Among these species, 9 species were found throughout the year. The dominant species which contributed significantly to the total biomass were Ecklonia cava, Undaria pinnatifida, Peyssonnelia capensis, Cladophora wrightiana, Sargassum serratifolium, Grateloupia angusta, Codium coactum, Plocamium cartilagineum, and Sargassum macrocarpum. The average seaweed biomass was 7,578.2 g wet weight $m^{-2}$ and maximum biomass was recorded seasonally in spring ($9,627.6g\;m^{-2}$), while minimum was recorded in autumn ($5,963.0g\;m^{-2}$), by sites maximum biomass Jigwido ($12,889.9g\;m^{-2}$), while minimum was recorded in Daepo ($5,403.8g\;m^{-2}$). The seasonal and regional flora were investigated as six functional groups. A coarsely branched form was the most dominant functional group constituting from 42.9~52.8% of the total flora. Ecological state group (ESG) II, as an opportunistic species, including sheet form, filamentous form, and coarsely branched form, consisted of 31~59 species, constituting 77.5~84.9%.

• Journal of Technology Innovation
• /
• v.25 no.4
• /
• pp.313-340
• /
• 2017

This paper explores the interaction between innovation intermediaries and firms' absorptive capacities and performance from the perspectives of regional innovation system and innovation cluster. This paper is an empirical study for drawing two research questions by examining firms in Daedeok Innopolis. First, does the relationship between firms and innovation intermediaries have a significant effect on the absorptive capacity and performance of the firm? Second, does absorptive capacity mediate the relationship between innovation intermediaries and performance of the firm? According to our analysis, innovation intermediaries have a positive effect on firms' absorptive capacity, as well as innovation and business performance of firms. Also the absorptive capacity plays a significant mediator role in this intermediation process. This paper implies that the firms could expand opportunities and build competitive advantage by fully understanding the innovation process and the interaction between innovation intermediaries and firms in this innovation process.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.1
• /
• pp.205-217
• /
• 2007

Donut phenomenon of city centers has resulted from the decreasing residential population and the fluid population with curved commercial function, but the analysis can bring other problems owing to the simplified method. And As the survey and the analysis the research can offer the characteristic methods for regeneration in the city of Busan. To figure out the functional regions of city center the research has analyzed 15 Dongs in city center of the three years of 1996, 2000 and 2004 to find out the donut phenomenon and the regeneration of city center. The survey has chosen 20 variation factors using factor analysis and cluster analysis. Major factors in each year are shown 3 factors, presenting 84.2%, 87.1% and 85.5% of the accumulated explanation rate. These factors explain residential centered, commercial centered, and management centered factor. The results are as following. First, it is necessary to plan the regeneration of the total city center owing to the total donut phenomenon regarding the functions. Second, the methods to regenerate city centers should be established according to the various regional characterizations.

• Korea Journal of Hospital Management
• /
• v.17 no.4
• /
• pp.87-115
• /
• 2012

This research classified hospital specialization strategy types through cluster analysis, analyzed fitness of hospital specialization strategy types for external environment or organizational structure, and examined relation between hospital specialization strategy types and organizational performance. This research surveyed 1,437 hospitals which have more than 30 patient's bed and practice national health service in Korea. Specifically, this research divided into two part : external fit - analysis of relation between external environment and specialization strategy, internal fit-analysis of relation between organizational structure factors and specialization strategy. also, as the organizational performance for achieving specialization strategic purpose, not only the productivity, efficiency, profit but also the medical quality was considered. In case of external fit, many hospitals chose integration type if there are a lot of competitive hospitals and regional population. Particularly, if there are many competitive hospitals, concentration type is chosen. In contrast, if there are many doctors in the region, differentiation type is chosen. In case of internal fit, according to organization type and patient's bed number, hospitals chose different types. If it is a general hospital and has a few bed number, generalization or concentration type is chosen. Tertiary hospital or the hospital with many patient's bed chose differentiation type. According to the number of specialists, if there are a few specialists, generalization or concentration type is chosen. If there are many specialists, differentiation type has high fitness for the hospital. In relation to strategy types and organizational performance, differentiation type has best result. Differentiation type has a good result in 7 items out of 11.

• Journal of Environmental Science International
• /
• v.18 no.2
• /
• pp.129-139
• /
• 2009

Development of an artificial neural network model was presented to predict the daily maximum $SO_2$ concentration in the urban-industrial area of Ulsan. The network model was trained during April through September for 2000-2005 using $SO_2$ potential parameters estimated from meteorological and air quality data which are closely related to daily maximum $SO_2$ concentrations. Meteorological data were obtained from regional modeling results, upper air soundings and surface field measurements and were then used to create the $SO_2$ potential parameters such as synoptic conditions, mixing heights, atmospheric stabilities, and surface conditions. In particular, two-stage clustering techniques were used to identify potential index representing major synoptic conditions associated with high $SO_2$ concentration. Two neural network models were developed and tested in different conditions for prediction: the first model was set up to predict daily maximum $SO_2$ at 5 PM on the previous day, and the second was 10 AM for a given forecast day using an additional potential factors related with urban emissions in the early morning. The results showed that the developed models can predict the daily maximum $SO_2$ concentrations with good simulation accuracy of 87% and 96% for the first and second model. respectively, but the limitation of predictive capability was found at a higher or lower concentrations. The increased accuracy for the second model demonstrates that improvements can be made by utilizing more recent air quality data for initialization of the model.