• Journal of Microbiology
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• v.42 no.3
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• pp.169-173
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• 2004

Enterobacter cloacae (strain PR2/7), a genetically modified endophyte(GME) in citrus plants, carrying different plasmids (pEC3.0/18, pCelE, pEglA and pGFP), was inoculated into Citrus sinensis seedlings under greenhouse conditions. The impact of this on the indigenous bacterial endophytic community was studied by analyses of 2 different morphologic groups. The germination rates of inoculated seeds were evaluated in greenhouse, and plasmid stability under in vitro conditions. Results demonstrated a great and diverse endophytic community inside plants, and specialization in tissue colonization by some bacterial groups, in different treatments. Shifts in seed germination rate were observed among treatments: in general, the PR2/7 harboring pEglA bacterial- clone significantly reduced seed germination, compared to the PR2/7 harboring pEC3.0/18 clone. This suggests that the presence of the pEglA plasmid changes bacteria-seed interactions. The endophytic community of citrus seedlings changed according to treatment. In seedlings treated with the PR2/7 with pEglA clone, the population of group II decreased significantly, within the context of the total endophytic community. These results indicate that the application of GMEs induces shifts in the endophytic bacterial community of citrus seedlings.

• Journal of Applied Biological Chemistry
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• v.59 no.4
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• pp.299-304
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• 2016

When used for amplicon sequencing, Illumina platforms produce more than hundreds of sequence artefacts, which affects operational taxonomic units based analyses such as differential abundance and network analyses. Nevertheless it has become a major tool for fecal microbial community analysis. In addition, results from sequence-based fecal microbial community analysis vary depending on conditions of samples (i.e., freshness, time of storage and quantity). We investigated if freeze-drying samples could improve quality of sequence data. Our results showed reduced number of possible artefacts while maintaining overall microbial community structure. Therefore, freeze-drying feces prior to DNA extraction is recommended for Illumina-based microbial community analysis.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.1
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• pp.127-145
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• 2011

Various environmental ecosystems are valuable sources for microbial ecology studies, and their analyses using recently developed molecular ecological approaches have drawn significant attention within the scientific community. Changes in the microbial community structures due to various anthropogenic activities can be evaluated by various culture-independent methods e.g. ARISA, DGGE, SSCP, T-RFLP, clone library, pyrosequencing, etc. Direct amplification of total community DNA and amplification of most conserved region (16S rRNA) are common initial steps, followed by either fingerprinting or sequencing analysis. Fingerprinting methods are relatively quicker than sequencing analysis in evaluating the changes in the microbial community. Being an efficient, sensitive and time- and cost effective method, T-RFLP is regularly used by many researchers to access the microbial diversity. Among various fingerprinting methods T-RFLP became an important tool in studying the microbial community structure because of its sensitivity and reproducibility. In this present review, we will discuss the important developments in T-RFLP methodology to distinguish the total microbial diversity and community composition in the various ecosystems.

• Journal of Information Technology Applications and Management
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• v.15 no.3
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• pp.169-194
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• 2008

Recently, the concept of web site stickiness receives attention as a measure of strategy to influence user's visit and behavior on web sites. Web site stickiness means site visit frequency and stay duration. This study investigates the moderating effect of espoused national cultural values on Internet community stickiness with the assumption that dimensional values of national culture can be internalized as individual’s espoused values. Espoused values (i.e., espoused national cultural values) are defined as the degree to which an individual embraces the values of his or her national culture. Our findings can be summarized as follows. First, femininity and power distance moderate the influence of user participation on Internet community stickiness. Second, uncertainty avoidance and power distance moderates the effect of social influence on Internet community stickiness. However, femininity and collectivism do not moderate the effect of social influence on Internet community stickiness. Third, uncertainty avoidance, femininity, and collectivism moderate the influence of network effect on Internet community stickiness. Fourth, masculinity does not moderate the influence of usefulness on Internet community stickiness.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.71-85
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• 2008

The rapid growth of blog has caused information overload where bloggers in the virtual community space are no longer able to effectively choose the blogs they are exposed to. Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Collaborative Filtering (CF) is the most successful recommendation method to date and used in many of the recommender systems. In this research, we propose a CF-based recommender system for bloggers to find their similar bloggers or preferable virtual community without burdensome search effort. For such a purpose, we apply the "Interest Value" to CF recommender systems. The Interest Value is the quantity value about users' transaction data in virtual community, and can measure the opinion of users accurately. Based on the Interest Value, the neighborhood group is generated, and virtual community list is recommended using the Community Likeness Score (ClS). Our experimental results upon real data of Korean Blog site show that the methodology is capable of dealing with the information overload issue in virtual community space. And Interest Value is proved to have the potential to meet the challenge of recommendation methodologies in virtual community space.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.289-301
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• 2019

This paper explores community-based flood disaster risk governance by applying a sensemaking approach. The conceptual sensemaking framework consists of individual experience, dialogue, and socialization components, which together comprise an interconnected system. This study presents a method for applying this framework by using a concerns table and a SWOT analysis to examine the concerns of residents living in a flood plain. A series of community-based workshops on flood risk reduction was conducted with residents of the flood-prone Muraida community in Shiga Prefecture, Japan. During the workshops, residents' concerns regarding flood risk surfaced. This study used an idiographic approach to examine the proceedings of the workshops. SWOT issue analysis was used to examine the strengths and weaknesses in the Muraida community's internal capacities, and examine the opportunities and threats in the external capacities (e.g., local government). Additionally, a SWOT strategy analysis was conducted to identify strategies for knowledge sharing and development of cooperative countermeasures that can be undertaken between the Muraida community and the local government. The results show that the concerns table can not only summarize the main concerns of all workshops, but also provide an understanding of alternative flood risk countermeasures that can be carried out.

• The Korean Journal of Ecology
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• v.23 no.2
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• pp.89-100
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• 2000

On community data. sampled in regular intervals on a long-term basis. artificial neural networks were implemented to extract information on characterizing patterns of community changes. The Adaptive Resonance Theory and Kohonen Network were both utilized in learning benthic macroinvertebrate communities in the Soktae Stream of the Suyong River collected monthly for three years. Initially, by regarding each monthly collection as a separate sample unit, communities were grouped into similar patterns after training with the networks. Subsequently, changes in communities in a sequence of samplings (e.g., two-month, four-month, etc.) were given as input to the networks. After training, it was possible to recognize new data set in line with the sampling procedure. Through the comparative study on benthic macroinvertebrates with these learning processes, patterns of community changes in chironomids diverged while those of the total benthic macro-invertebrates tended to be more stable.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.415-424
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• 2005

The rapid growth of blog has caused information overload where bloggers in the virtual community space are no longer able to effectively choose the blogs they are exposed to. Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Collaborative Filtering (CF) is the most successful recommendation method to date and used in many of the recommender systems. Therefore, we propose a CF-based recommender system for bloggers in the virtual community space. Our proposed methodology consists of three main phases: In the first phase, we apply the "Interest Value" to a recommender system. The Interest Value is a quantity value about user preference in virtual community, and can measure the opinion of users accurately. Next phase, we generate the neighborhood group based on the Interest Value. In the final phase, we use the Community Likeness Score (CLS) to generate the top-n recommendation list. The methodology is explained step by step with an illustrative example and is verified with real data of a blog service provider.

• Journal of Korean Society of Forest Science
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• v.86 no.2
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• pp.214-222
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• 1997

Employing the relev$\acute{e}$ method of Muller-Dombois & Ellenberg and Braun-Blanquet, 100 plots were sampled in the Quercus mongolica community of Mt. Odae, Mt. Chumbong and Mt. Jungwang in Kangwon-do. To analyze the data, phytosociological method and TWINSPAN were used. 1. Quercus mongolica forests were recognized as Quercus mongolica-Acer pseudosieboldianum community group, and were classified into Quercus mongolica-Carpinus cordata community, Quercus mongolica-Acer pseudosieboldianum typical community, Quercus mongolica-Lespedeza maximocoiczii community and Quercus mongolica-Abies nephrolepis community by phytosociological method. Quercus mongolica-Carpinus cordata community was subdivided into Acer mandshuricum subcommunity and typical subcommunity. 2. According to the classification of TWINSPAN, it was categorized into five groups, such as Quercus mongolica-Acer mandshuricum community, Quercus mongolica-Carpinus cordata community, Quercus mongolica-Acer pseudosieboldianum community, Quercus mongolica-Lindera obtusiloba community, and Quercus mongolica-Abies nephrolepis community. 3. Since the results of phytosociological community classification, which identify five groups of the community, were consistent with that of TWINSPAN, it proved that these two methods could be complement when one do a community classification.

• The Korean Journal of Ecology
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• v.19 no.5
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• pp.431-451
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• 1996

The present studwas undertaken to classify and describe the riverside vegetation around Hanchon (36°27’-36°51’N, 128°15’-128°37’E), a tributary in the upper stream area of Nak-tong River, South Korea by methods of the ZM school of phytosociology. As a result the vegetation was divided into twenty three associations and communities belonging to ten classes. Reflecting various human impacts in the past, the associations and communities of the Artemisietea principis were most plentiful there. The vegetation units obtained in the present study were as follows: A. forest vegetation A-1 Fagetea crenatae:Zelkova serrata community, Larix leptolepis community; B. Shrub vegetation B-1 Salicetea sachalinensis:Salicetum gracilistylae, Salicetum graciliglandis assoc. nov., B-2 Rosetea sachalinensis:Salicetum gracilistylae, Salicetum graciliglandis assoc. nov., B-2 Rosetea multiflorae:Stephanandra incisa community, Lycium chinense community; C. Grassland vegetation C-1 Lemnetea minoris:Spirodela polyrhiza-Lemna paucicostata community, C-2 Bidentetea tripartiti:Polygonetum thunbergii, Polygonetum sieboldii-hydropiperis, Panico Polygonetum hydropiperis, Pharagmitetea :Oenantho- Phalaridetum arundinaceae, Phragmitetum japonicae, Miscanthetum sacchariflori, Phragmites australis community, C-4 Artemisietea principis:Artemisia princeps community, Impatiens textori community, Lactuco indicae-Humuletum japonicae, Pueraria lobata-Humulus japonicus community, Pennisetum alopecuroides community, C-5 chenopodietea:Echinochloa crus-galli var. orizicola community, Digitaria adsecendens community, Polygonum nodosum community, C-6 Miscanthetea sinensis: Miscanthus sinensis community, C-7 Plantaginetea:Eragrotis multicaulis-Plantago asiatica community. It is inferred that the endemic vegetation units in the riverside vegetation of Korea are very rare, because most of the vegetation units obtained in the present study are common with those of Japan. Among the above vegetation units, the Salicetum graciliglandis was established as a new association. On the other hand, the associations and communities of classes characterizing the riverside vegetation increased with a decrease of human impacts from the downstream to the upstream in Hanchon, while the number of the naturalized plants was the reverse. Also based on the present phytosociological work, the relation between the vegetation units and their environmental conditions and the restoration ecology and nature conservation of the riverside vegetation were discussed here in detail.