• Title/Summary/Keyword: community clustering

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The Differences of Big-Five Personality Factors, Academic Adaptation, and Psychological Well-Being According to Grit Cluster Types in College Students (대학생의 그릿 군집 유형에 따른 성격 5요인, 학업적응 및 심리적 안녕감의 차이)

  • Kim, Eun Hye;Kim, Min-Jung;Kim, Ji-Hye
    • The Journal of Korean Society for School & Community Health Education
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    • v.21 no.1
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    • pp.75-89
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    • 2020
  • Objects: The purpose of this study was to examine the differences of college students' big-five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Methods: The participants of this study were 190 college students. All variables were evaluated by self-report of college students. The data were analyzed by one-way ANOVA and two-step clustering statistics using SPSS 21.0. Results: First, a cluster analysis on a sample of 190 college students revealed four clusters: the more highly grit group, higher tenacity group, higher consistency of interests, and the less grit group. Second, there were significant differences of 190 college students' big five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Conclusions: These findings can be used as an important contribution to further research and educational practices for promoting the grit in college students. Also it suggests the need for health education to increase the psychological well-being of college students.

Site Environment and Ecological Characteristics of the Zanthoxylum schinifolium Habitats (산초나무 자생지의 입지환경과 생태적 특성)

  • Kim, So-Jin;Kim, Tae-Woon;Moon, Hyun-Shik
    • Journal of Environmental Science International
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    • v.31 no.7
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    • pp.665-675
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    • 2022
  • The purpose of this study was to provide basic information for judging cultivation suitability by analyzing the growing environment of Zanthoxylum schinifolium habitats in Gyeongnam-do. The site environment, soil environment and community structure were analyzed in habitats of 7 cities and counties. The habitats were distributed in slopes at 87~764 m above sea level. It was found habitats was distributed in the well-drained soil with high content of sand and soil texture of habitats was mainly loamy sand and sandy loam. Bulk density and particle density were 0.89 g/cm3 and 2.65 g/cm3 on average, respectively. The soil had 5.10 of pH, 6.41% of OM content, 0.29% of TN content, 3.84 ppm of available P content, and CEC of 12.3 cmol+/kg on average. The habitats were classified into four communities (Z. schinifolium-Lindera erythrocarpa, Castanea crenata-L. erythrocarpa, Pinus densiflora-Z. schinifolium, P. thunbergii-Z. schinifolium by clustering analysis. Ecological niche breadth was highest of 0.885 in site (T VI ongyeong) and lowest of 0.608 in site (Goseong).

A Multilevel Analysis about the Impact of Patient's Willingness for Discharge on Successful Discharge from Long-term Care Hospitals (퇴원 의지가 요양병원의 성공적 퇴원에 미치는 영향에 대한 다수준 분석)

  • Ghang, Haryeom;Lee, Yeonju
    • Health Policy and Management
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    • v.32 no.4
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    • pp.347-355
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    • 2022
  • Background: Since November 2019, long-term care hospitals have been able to provide patients with discharging programs to support the elderly in the community. This study aimed to identify both patient- and hospital-level factors that affect successful community discharge from long-term care hospitals. Methods: A multilevel logistic regression model was performed using hospitals as a clustering unit. The dependent variable was whether a patient stayed in the community for at least 30 days after discharge from a long-term care hospital. As for the patient-level independent variables, an agreement between a patient and the family about discharge, length of hospital stay, patient category, and residence at discharge were included. The number of beds and the ratio of long-stay patients were selected for the hospital-level factors. The sample size was 1,428 patients enrolled in the discharging program from November 2019 to December 2020. Results: The number of patients who were discharged to the community and stayed at least for 30 days was 532 (37.3%). The intraclass correlation coefficient was 22.9%, indicating that hospital-level factors had a significant impact on successful community discharge. The odds ratio (OR) of successful community discharge increased by 1.842 times when the patients and their families agreed on discharge. The ORs also increased by 3.020 or 2.681 times, respectively when the patients planned to discharge to their own house or their child's house compared to those who didn't have a plan for residence at discharge. The ORs increased by 1.922 or 2.250 times when the hospitals were owned by corporate or private property compared to publicly owned hospitals. The ORs decreased by 0.602 or 0.520 times when the hospital was sized over 400 beds or located in small and medium-sized cities compared to less than 200 bedded hospitals or located in metropolitan cities. Conclusion: The results of the study showed that the patients' and their family's willingness for discharge had a great impact on successful community discharge and the hospital-level factors played a significant role in it. Therefore, it is important to acknowledge and support long-term care hospitals to involve active in the patient discharge planning process.

Analysis of Knowledge Community for Knowledge Creation and Use (지식 생성 및 활용을 위한 지식 커뮤니티 효과 분석)

  • Huh, Jun-Hyuk;Lee, Jung-Seung
    • Journal of Intelligence and Information Systems
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    • v.16 no.4
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    • pp.85-97
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    • 2010
  • Internet communities are a typical space for knowledge creation and use on the Internet as people discuss their common interests within the internet communities. When we define 'Knowledge Communities' as internet communities that are related to knowledge creation and use, they are categorized into 4 different types such as 'Search Engine,' 'Open Communities,' 'Specialty Communities,' and 'Activity Communities.' Each type of knowledge community does not remain the same, for example. Rather, it changes with time and is also affected by the external business environment. Therefore, it is critical to develop processes for practical use of such changeable knowledge communities. Yet there is little research regarding a strategic framework for knowledge communities as a source of knowledge creation and use. The purposes of this study are (1) to find factors that can affect knowledge creation and use for each type of knowledge community and (2) to develop a strategic framework for practical use of the knowledge communities. Based on previous research, we found 7 factors that have considerable impacts on knowledge creation and use. They were 'Fitness,' 'Reliability,' 'Systemicity,' 'Richness,' 'Similarity,' 'Feedback,' and 'Understanding.' We created 30 different questions from each type of knowledge community. The questions included common sense, IT, business and hobbies, and were uniformly selected from various knowledge communities. Instead of using survey, we used these questions to ask users of the 4 representative web sites such as Google from Search Engine, NAVER Knowledge iN from Open Communities, SLRClub from Specialty Communities, and Wikipedia from Activity Communities. These 4 representative web sites were selected based on popularity (i.e., the 4 most popular sites in Korea). They were also among the 4 most frequently mentioned sitesin previous research. The answers of the 30 knowledge questions were collected and evaluated by the 11 IT experts who have been working for IT companies more than 3 years. When evaluating, the 11 experts used the above 7 knowledge factors as criteria. Using a stepwise linear regression for the evaluation of the 7 knowledge factors, we found that each factors affects differently knowledge creation and use for each type of knowledge community. The results of the stepwise linear regression analysis showed the relationship between 'Understanding' and other knowledge factors. The relationship was different regarding the type of knowledge community. The results indicated that 'Understanding' was significantly related to 'Reliability' at 'Search Engine type', to 'Fitness' at 'Open Community type', to 'Reliability' and 'Similarity' at 'Specialty Community type', and to 'Richness' and 'Similarity' at 'Activity Community type'. A strategic framework was created from the results of this study and such framework can be useful for knowledge communities that are not stable with time. For the success of knowledge community, the results of this study suggest that it is essential to ensure there are factors that can influence knowledge communities. It is also vital to reinforce each factor has its unique influence on related knowledge community. Thus, these changeable knowledge communities should be transformed into an adequate type with proper business strategies and objectives. They also should be progressed into a type that covers varioustypes of knowledge communities. For example, DCInside started from a small specialty community focusing on digital camera hardware and camerawork and then was transformed to an open community focusing on social issues through well-known photo galleries. NAVER started from a typical search engine and now covers an open community and a special community through additional web services such as NAVER knowledge iN, NAVER Cafe, and NAVER Blog. NAVER is currently competing withan activity community such as Wikipedia through the NAVER encyclopedia that provides similar services with NAVER encyclopedia's users as Wikipedia does. Finally, the results of this study provide meaningfully practical guidance for practitioners in that which type of knowledge community is most appropriate to the fluctuated business environment as knowledge community itself evolves with time.

Changes in the Ammonia-Oxidizing Bacteria Community in Response to Operational Parameters During the Treatment of Anaerobic Sludge Digester Supernatant

  • Cydzik-Kwiatkowska, Agnieszka;Zielinska, Magdalena;Bernat, Katarzyna;Kulikowska, Dorota;Wojnowska-Baryla, Irena
    • Journal of Microbiology and Biotechnology
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    • v.22 no.7
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    • pp.1005-1014
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    • 2012
  • The understanding of the relationship between ammonia-oxidizing bacteria (AOB) communities in activated sludge and the operational treatment parameters supports the control of the treatment of ammonia-rich wastewater. The modifications of treatment parameters by alteration of the number and length of aerobic and anaerobic stages in the sequencing batch reactor (SBR) working cycle may influence the efficiency of ammonium oxidation and induce changes in the AOB community. Therefore, in the research, the impact of an SBR cycle mode with alternating aeration/mixing conditions (7 h/1 h vs. 4 h/5.5 h) and volumetric exchange rate (n) on AOB abundance and diversity in activated sludge during the treatment of anaerobic sludge digester supernatant at limited oxygen concentration in the aeration stage (0.7 mg $O_2/l$) was assessed. AOB diversity expressed by the Shannon-Wiener index (H') was determined by the cycle mode. At aeration/mixing stage lengths of 7 h/1 h, H' averaged $2.48{\pm}0.17$, while at 4 h/5.5 h it was $2.35{\pm}0.16$. At the given mode, AOB diversity decreased with increasing n. The cycle mode did not affect AOB abundance; however, a higher AOB abundance in activated sludge was promoted by decreasing the volumetric exchange rate. The sequences clustering with Nitrosospira sp. NpAV revealed the uniqueness of the AOB community and the simultaneously lower ability of adaptation of Nitrosospira sp. to the operational parameters applied in comparison with Nitrosomonas sp.

Characterization of microbiota diversity of engorged ticks collected from dogs in China

  • Wang, Seongjin;Hua, Xiuguo;Cui, Li
    • Journal of Veterinary Science
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    • v.22 no.3
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    • pp.37.1-37.14
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    • 2021
  • Background: Ticks are one of the most common external parasites in dogs, and are associated with the transmission of a number of major zoonoses, which result in serious harm to human health and even death. Also, the increasing number of pet dogs and pet owners in China has caused concern regarding human tick-borne illnesses. Accordingly, studies are needed to gain a complete understanding of the bacterial composition and diversity of the ticks that parasitize dogs. Objectives: To date, there have been relatively few reports on the analysis of the bacterial community structure and diversity in ticks that parasitize dogs. The objective of this study was to investigate the microbial composition and diversity of parasitic ticks of dogs, and assessed the effect of tick sex and geographical region on the bacterial composition in two tick genera collected from dogs in China. Methods: A total of 178 whole ticks were subjected to a 16S ribosomal RNA (rRNA) next generation sequencing analysis. The Illumina MiSeq platform targeting the V3-V4 region of the 16S rRNA gene was used to characterize the bacterial communities of the collected ticks. Sequence analysis and taxonomic assignment were performed using QIIME 2 and the GreenGene database, respectively. After clustering the sequences into taxonomic units, the sequences were quality-filtered and rarefied. Results: After pooling 24 tick samples, we identified a total of 2,081 operational taxonomic units, which were assigned to 23 phyla and 328 genera, revealing a diverse bacterial community profile. The high, moderate and low prevalent taxa include 46, 101, and 182 genera, respectively. Among them, dominant taxa include environmental bacterial genera, such as Psychrobacter and Burkholderia. Additionally, some known tick-associated endosymbionts were also detected, including Coxiella, Rickettsia, and Ricketssiella. Also, the potentially pathogenic genera Staphylococcus and Pseudomonas were detected in the tick pools. Moreover, our preliminary study found that the differences in microbial communities are more dependent on the sampling location than tick sex in the tick specimens collected from dogs. Conclusions: The findings of this study support the need for future research on the microbial population present in ticks collected from dogs in China.

Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia

  • Masrani, Afiqah Syamimi;Husain, Nik Rosmawati Nik;Musa, Kamarul Imran;Yasin, Ahmad Syaarani
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.1
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    • pp.80-87
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    • 2022
  • Objectives: Dengue remains hyperendemic in Malaysia despite extensive vector control activities. With dynamic changes in land use, urbanisation and population movement, periodic updates on dengue transmission patterns are crucial to ensure the implementation of effective control strategies. We sought to assess shifts in the trends and spatial patterns of dengue in Kelantan, a north-eastern state of Malaysia (5°15'N 102°0'E). Methods: This study incorporated data from the national dengue monitoring system (eDengue system). Confirmed dengue cases registered in Kelantan with disease onset between January 1, 2016 and December 31, 2018 were included in the study. Yearly changes in dengue incidence were mapped by using ArcGIS. Hotspot analysis was performed using Getis-Ord Gi to track changes in the trends of dengue spatial clustering. Results: A total of 10 645 dengue cases were recorded in Kelantan between 2016 and 2018, with an average of 10 dengue cases reported daily (standard deviation, 11.02). Areas with persistently high dengue incidence were seen mainly in the coastal region for the 3-year period. However, the hotspots shifted over time with a gradual dispersion of hotspots to their adjacent districts. Conclusions: A notable shift in the spatial patterns of dengue was observed. We were able to glimpse the shift of dengue from an urban to peri-urban disease with the possible effect of a state-wide population movement that affects dengue transmission.

Community Characteristics of Ground Beetles in Four Gotjawal Terrains of Jeju Island, Korea (제주도의 곶자왈에 분포하는 지표성 딱정벌레 군집의 특성)

  • Jeon, Hyung-Sik;Yang, Kyoung-Sik;Lee, Ga-Eun;Kim, Won-Taek
    • Korean Journal of Environmental Biology
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    • v.26 no.3
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    • pp.226-232
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    • 2008
  • Sampling of the ground beetles in four 'gotjawal' terrains of Jeju island was conducted from April to October, 2007, using pit-fall trap. Totally 2,887 individuals of 23 species belonged to 4 families were collected. The species diversity index was the highest at Aeweol gotjawal (AW), while it was the lowest in Hangyeong-Andeog gotjawal (HA). Clustering analysis revealed that the insect communities of four gotzawals were grouped in only one cluster. Jocheon-Hamdeog gotjawal (JH) formed a cluster with Gujwa-Sungsan gotjawal (GS) at the lowest chord distance (0.24). At the higher chord distance of 0.50, AW fused the cluster of JH and GS. HA fused with the rest three terrains, forming a single cluster at the highest chord distance of 0.98.

Intellectual Structure of the Altmetrics field: A Co-Word Analysis (Co-word를 이용한 알트메트리얼 필리트의 지적 구조 연구)

  • Li, Jiapei;Li, Xiaomeng;Lee, HyunChang;Shin, SeongYoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.148-150
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    • 2017
  • In recent years, "altmetrics", given birth by social media and the academic community, have become a metric source for measuring the academic impact of scientific literature. This study has undertaken a co-word analysis of author keywords in "Altmetrics" articles from the Web of Science database from 2012 to 2017 and used a co-occurrence matrix to create a clustering of the words. "Altmetrics" co-occurrence network map was derived and the research hotspots was analyzed.

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The Similarity between Plant Communities as Affected by Botanical Composition in Natural Grassland (자연초지에서 식생구성비율에 의한 식생군락간의 유사성)

  • 박근제
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.15 no.2
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    • pp.87-92
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    • 1995
  • The ecological behaviour and forage value of natural grassland communities and the similarity between plant communities near Wit~enhausen in middle part of Gennany were investigated from June to August. 1993. The total number of plant communities at different place surveyed during the study period was twelve. The ecological behaviour and forage value of the natural grassland communities except mesobromion (half dry grassland community) were relatively good for roughage production. The correlation coefficients between plant eornmunilies were greatly affected by botanical composition. The clustering analysis showed that the communities of relatively similar botanical composition were grouped closely, and the other communities were clustered to the same group although the degree of similarity between communities was low.

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