• Ocean and Polar Research
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• v.32 no.2
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• pp.123-135
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• 2010

Around Tongyeong coasts which located in southern coast of Korea composed to the complex coastal line and scattered by small islands. It also has been distributed to a complicated bathymetric structure by several types of channels. This study carried to analyze the spatial characteristics of macrobenthic community and benthic environmental variance on sub-tidal area based on multivariate statistics tools. Sediment composition varied from muddy sand to mud, and along the channels, it composed to a heterogeneous bottoms mixed by shell fragment, cobbles and mud. Organic contents on the surface sediment varied 1.1-3.9%. Total of 272 species, $33,349\;ind./m^2$ of macrobenthos identified in all of sample area. Polychaetes also prevailed among the specimen. L. longifolia, P. pinnata dominated based on density. Considering on the biomass, echinoderm S. lacunosa, A. tricoides listed. Closer to the coastal area, the density and diversity were higher. Community structure based on cluster analysis was discriminated into three groups. Each group was also characterized by geographical state such as depth, sediment composition. In addition, when applied to the bathymetric data, the channel, which composed to the mixed sediment, made a role of limited factor which characterized to benthic community. Because the specimen around the channel have been affected on the diverse sediment mixture. Most of benthic studies in the southern coast of Korea focused to the condition of benthic organic pollution spatially, because along the coast, it also developed a aquaculture ground and industrial complex. But, as results, most of the area, it turn out the less polluted areas nevertheless similar environment situation. It supposed that benthic community affect to the bottom sediment composition by physical characteristics.

• Journal of Microbiology and Biotechnology
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• v.19 no.9
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• pp.851-857
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• 2009

We developed and characterized 36 polymorphic microsatellite markers for the oyster mushroom (Pleurotus ostreatus). In total, 169 alleles were identified with an average of 4.7 alleles per locus. Values for observed ($H_o$) and expected ($H_E$) heterozygosities ranged from 0.027 to 0.946 and from 0.027 to 0.810, respectively. Nineteen loci deviated from Hardy-Weinberg equilibrium. Significant (P<0.05) excess heterozygosity was observed at nine loci. Linkage disequilibrium (LD) was significant (P<0.05) between pairs of locus alleles. Cluster analysis revealed that five species of genus Pleurotus made a distinct group, and the individual cultivars were grouped into major five groups from G-1 to G-5. The diverse cultivars of P. ostreatus were discriminated and the other four species revealed a different section in the UPGMA tree. These microsatellite markers proved to be very useful tools for genetic studies, including assessment of the diversity and population structure of P. ostreatus.

• Plant Resources
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• v.6 no.1
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• pp.16-26
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• 2003

Molecular markers are useful tools for evaluating genetic diversity and determining cultivar identity. Present study was conducted to evaluate the genetic diversity within a diverse collection of rice accessions used for Korean breeding programs. Two hundred eighty-seven rice cultivars, composed of temperate japonica, tropical japonica, indica, and Tongil-type of Korean crossing parents were evaluated by means of 15 simple sequence repeat (SSR) markers. A total of 99 alleles were detected, and the number of alleles per marker ranged from 4 to 11, with an average of 6.6 per locus. Polymorphism information content (PIC) for each of the SSR markers ranged from 0.2924 to 0.8102 with an average of 0.5785. These results, with the result that use of only 15 SSR markers made all rice cultivars examined could be uniquely distinguished, imply the efficiency of SSR markers for analysis of genetic diversity in rice. Cluster analysis was performed on similar coefficient matrics calculated from SSR markers to generate a dendogram in which two major groups corresponding to japonica (Group I) and indica and Tongil type rice (group II) with additional subclasses within both major groups. The narrowness of the Korean breeding germplasm was revealed by the fact that most of the Korean-bred and Japan-bred temperate japonica cultivars were concentrated into only 2 of the sub-group I-1 (143 cultivars) and I-2 (58 cultivars) among six sub-groups in major group of japonica. This is because of the japonica accessions used in this study was a very closely related ones because of frequent sharing of the crossing parents with similar genetic background with synergy effect of the inherited genetic difference between indica and japonica. A rice breeding strategy with the use of molecular markers was discussed for overcoming of genetic vulnerability owing to this genetic narrowness.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.173-191
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• 2018

Taking note of growing tendency of academic interests and policy applications with regard to social economy, this study aims to suggest economic geographical agenda for social economy. It is presumed that the orientation of social economy toward pursuing social value will exhibit unique spatial characteristics. Elements containing spatial implications have been identified through a review of hierarchial concepts including social innovation, social economy organization and social enterprise. Three approached are suggested as tools of understanding the spatial context of social economy: spatial characteristics inspiring social entrepreneurship, place-based context of decision-making by social economy organizations, and spaces formulated by interactions between the demand for solving social problems and the supply of economic resources. The investigation of social innovation clusters is required to focus on the differentiated characteristics from normal industrial clusters. It is also suggested that the concept of embeddedness be applied in the search of the essence and elements of social economy's ties with local community.

• The Korean Journal of Community Living Science
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• v.27 no.spc
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• pp.665-679
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• 2016

This study examined the main factors for activating rural tourism of Jeollabuk-do using big data analysis. The tourism big data was gathered from public open data sources and social network services (SNS), and the analysis tools, 'Opinion Mining', 'Text Mining', and 'Social Network Analysis(SNA)' were used. The opinion mining and text mining analysis identified the key local contents of the 14 areas of Jeollabuk-do and the evaluations of customers on rural tourism. Social network analysis detected the relationships between their contents and determined the importance of the contents. The results of this research showed that each location in Jeollabuk-do had their specific contents attracting visitors and the number of contents affected the scale of tourists. In addition, the number of visitors might be large when their tourism contents were strongly correlated with the other contents. Hence, strong connections among their contents are a point to activate rural tourism. Social network analysis divided the contents into several clusters and derived the eigenvector centralities of the content nodes implying the importance of them in the network. Tourism was active when the nodes at high value of the eigenvector centrality were distributed evenly in every cluster; however the results were contrary when the nodes were located in a few clusters. This study suggests an action plan to extend rural tourism that develop valuable contents and connect the content clusters properly.

• Health Policy and Management
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• v.9 no.2
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• pp.77-94
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• 1999

The purpose of this study is to establish strategy by subdividing consumer market according to the lifestyle which influences the use of medical facilities. The subject of this study were 700 adults who were over 20 years of age and residing in Suwon and its vicinity. To collect data trained staff conducted person-to-person interviews with the assistance of structured questionnaires. The questionnaires cover the areas of life style pattern study. the characteristics of demographic sociology, decision-making process related to the use of medical service. The influencing factors were analyzed and as a result total 18 factors were singled out. Cluster analysis was performed to differentiate similar responses. Each group was named as 'health-unconcern type' 'passive health-concern type' 'regular health-concern type' and 'active health-concern type' according to the characteristics. Each group showed statistically significant difference in the characteristics of demographic sociology. Decision-making process regarding the use of medical service according to lifestyle was analyzed. As a result following items showed significant difference:whether the information was utilized, what was the criteria in selecting medical facilities for serious illness or complicated examination. who was the decision maker in selection medical facilities, and with whom one discussed in selecting medical facilities. The result of this study has its limitation in that it can not be applied directly to market subdivision. However, this will help medical facilities understand customers' lifestyle. which will eventually provide medical facilities with marketing tools in establishing effective PR strategy. In order to apply the lifestyle as a marketing tool of medical facilities, following tasks are to be carried out: the development of the questionnaire which can better analyze consumers' lifestyle related to the use of medical service. the examination of precise characteristics of subdivided market according to lifestyle. and the continuing study on the relationship between lifestyle and the process in selecting medical facilities.

• Language and Information
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• v.14 no.1
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• pp.113-144
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• 2010

The primary goal of this paper is to find a feasible way to answer the question: Does the similarity in meaning between verbs relate to the similarity in their subcategorization? In order to answer this question in a rather concrete way on the basis of a large set of English verbs, this study made use of various language resources, tools, and statistical methodologies. We first compiled a list of 678 verbs that were selected from the most and second most frequent word lists from the Colins Cobuild English Dictionary, which also appeared in WordNet 3.0. We calculated similarity measures between all the pairs of the words based on the 'jcn' algorithm (Jiang and Conrath, 1997) implemented in the WordNet::Similarity module (Pedersen, Patwardhan, and Michelizzi, 2004). The clustering process followed, first building similarity matrices out of the similarity measure values, next drawing dendrograms on the basis of the matricies, then finally getting 177 meaningful clusters (covering 437 verbs) that passed a certain level set by z-score. The subcategorization frames and their frequency values were taken from the ICE-GB. In order to calculate the Selectional Preference Strength (SPS) of the relationship between a verb and its subcategorizations, we relied on the Kullback-Leibler Divergence model (Resnik, 1996). The SPS values of the verbs in the same cluster were compared with each other, which served to give the statistical values that indicate how much the SPS values overlap between the subcategorization frames of the verbs. Our final analysis shows that the degree of overlap, or the relationship between semantic similarity and the subcategorization frames of the verbs in English, is equally spread out from the 'very strongly related' to the 'very weakly related'. Some semantically similar verbs share a lot in terms of their subcategorization frames, and some others indicate an average degree of strength in the relationship, while the others, though still semantically similar, tend to share little in their subcategorization frames.

• Research in Community and Public Health Nursing
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• v.19 no.1
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• pp.36-45
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• 2008

Purpose: This study was to estimate the prevalence of dementia in order to estimate the associations of dementia with its risk factors in the community elderly. Methods: The multistage random cluster sampling method was used to select the subjects. The response rate was 94.3%. For the 1st stage screening survey, the Korean-version Mini-Mental State Examination (K-MMSE) and the Bathel Index of activities of daily living (ADL) and instrumental activities of daily living (IADL) were used as primary screening tools. At the 2nd stage. diagnoses were confirmed according to the Clinical Dementia Rating Scale (CBR) and Computer Tomogram (CT). Results: Age-sex adjusted prevalence (%) [95% CI] of dementia was 6.25% [4.47-7.83] (male 4.21% [2.40-6.02]; female 8.28% [5.71-10.85]). Four statistically significant risk factors of the dementia were identified: age 70-74 (OR=1.367), age 75-79 (OR=1.712), age 80-84 (OR=2.465), age 85 over (OR=7.363) illiteracy (OR=3.827); unconsciousness after head injury (OR=3.383), and no exercise (OR=2.188). Hosmer and Lemeshow goodness-of-fit index of dementia risk model was E (legit of dementia)= -4.337+$0.312^*Age(70{\sim}74)+0.538^*Age(75{\sim}79)+0.902^*Age(80{\sim}84)+1.996^*Age$(85over)+$1.342^*$Illiteracy+$1.219^*$Unconsciousness after head trauma+$0.783^*$No exercise. We confirmed that the overall prevalence of dementia in adults aged 65 and older was 94.3%. The risk factors of dementia were explained by age, illiteracy unconsciousness after head trauma and no exercise. Conclusion: These data have been used to estimate the incidence of dementia in elderly community population and to manage the possible role of risk factors as predictors of dementia.

• Journal of agricultural medicine and community health
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• v.18 no.2
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• pp.121-129
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• 1993

This study was conducted to investigate the incidence and related factors of farming tool-machinery injuries developed in the Chonnam rural area in 1992. A total of 9,068 persons (4,571men and 4,497women)were selected in a stratified cluster sampling manner, and interviewed individually to complete a structured questionnaire covering farmer characteristics, duration of farm working, annual income, kind of farming tools and machinery, type of injuries and medical care. The results were as follows : 1. The incidence rate of farming tool-machinery injuries was 63 per 1,000 persons over all, 73 in males and 54 in females. The age standardized incidence rate was 69 per 1,000 persons over all, 83 in males and 65 in females. 2. The associated factors with farming tool-machinery injuries in univariate analysis were sex, age, duration of farming and monthly income. The occurrence of injuries was higher in men than in woman, and the higher in high-income group than in the low-income group. 3. More men than woman were involved in trunk injuries and treated at the large scale medical care units such as hospitals, and they paid much higher medical fees. 4. The complaint rates for each item of farmers' syndrome in the injured group were higher than those of the non injured group in 'shoulder stiffness', 'sleeplessness', 'dizziness', and 'gastric fullness'. 5. When multiple logistic regression was applied to farming tool-machinery injuries, the significant variables were farmer's syndrome, age, and duration of farming in both males and females.

• Journal of the Korean Society of Costume
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• v.15
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• pp.253-265
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• 1990

This article was written with two purposes in mind. The first purpose was to introduce clothing and textile community who may not be familiar with Multidimensional Scaling(MDS) with usefulness of the new technique in the area of fashion merchandising. The second purpose was to present the results of an empirical study on brand image utilizing MDS and its related technique as the main analysis tools. The main objective of the empirical study was to gain a better understanding of consumer's brand image by relating differences in perception and attributes of clothing in women's ready-to wear market. For this empirical study, the ten brands and the fifteen attributes of clothing were chosen. The questionnaire consisting of questions asking about the similarity and attributes of clothing between selected brands was administrated to 185 career women during summer in 1989. Data were analyzed cluster analysis, and KYST and PROFIT in MDS program. The results were as follows: 1. The similarities data for the ten selected brand by using KYST program of MDS drawed the perceptual map. The results of this perceptual map showed that the selected brand were grouped into three clusters. 2. In order to get a somewhat objective view of which attributes consumers are attributing to each brand, PROFIT program was used. As a result, it was revealed that assortment depth / width, price, youth-oriented style, possibility of various social activity were significant attributes in consumer's brand choice rather than physical attributes of clothing such as quality or durability. This may imply that consumer orientation in rapidly changing environments of women's apparel market was its basic idea, and the focus of all fashion merchandising activities was put on need's and the response of consumer group who are the object of the target. Implicating for future research as well as for strategy of brand positioning were also suggested.