• Title/Summary/Keyword: 군집 자료

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Development and Validation of Classroom Problem Behavior Scale - Elementary School Version(CPBS-E) (초등학생 문제행동선별척도: 교사용(CPBS-E)의 개발과 타당화)

  • Song, Wonyoung;Chang, Eun Jin;Choi, Gayoung;Choi, Jae Gwang;ChoBlair, Kwang-Sun;Won, Sung-Doo;Han, Miryeung
    • Korean Journal of School Psychology
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    • v.16 no.3
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    • pp.433-451
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    • 2019
  • This study aimed to develop and validate the Classroom Problem Behavior Scale - Elementary School Version (CPBS-E) measure which is unique to classroom problem behavior exhibited by Korean elementary school students. The focus was on developing a universal screening instrument designed to identify and provide intervention to students who are at-risk for severe social-emotional and behavioral problems. Items were initially drawn from the literature, interviews with elementary school teachers, common office discipline referral measures used in U.S. elementary schools, penalty point systems used in Korean schools, 'Green Mileage', and the Inventory of Emotional and Behavioral Traits. The content validity of the initially developed items was assessed by six classroom and subject teachers, which resulted in the development of a preliminary scale consisting of 63 two-dimensional items (i.e., Within Classroom Problem Behavior and Outside of Classroom Problem Behavior), each of which consisted of 3 to 4 factors. The Within Classroom Problem Behavior dimension consisted of 4 subscales (not being prepared for class, class disruption, aggression, and withdrawn) and the Outside of Classroom Problem Behavior dimension consisted of 3 subscales (rule-violation, aggression, and withdrawn). The CPBS-E was pilot tested on a sample of 154 elementary school students, which resulted in reducing the scale to 23 items. Following the scale revision, the CPBS-E was validated on a sample population of 209 elementary school students. The validation results indicated that the two-dimensional CPBS-E scale of classroom problem behavior was a reliable and valid measure. The test-retest reliability was stable at above .80 in most of the subscales. The CPBS-E measure demonstrated high internal consistency of .76-.94. In examining the criterion validity, the scale's correlation with the Teacher Observation of Classroom Adaptation-Checklist (TOCA-C) was high and the aggression and withdrawn subscales of the CPBS-E demonstrated high correlations with externalization and internalization, respectively, of the Child Behavior Checklist - Teacher Report Form CBCL-TRF). In addition, the factor structure of the CPBS-E scale was examined using the structural equation model and found to be acceptable. The results are discussed in relation to implications, contributions to the field, and limitations.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

  • Analysis of phylogenetic relationship among Korean Pinellia Tenore (Araceae) using RAPD markers (RAPD markers에 의한 한국산 반하속 식물의 유연관계 분석)

    • Tae, Kyoung-Hwan;Kim, Dong-Kap;Kim, Joo-Hwan
      • Korean Journal of Plant Taxonomy
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      • v.35 no.3
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      • pp.161-174
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      • 2005
    • In order to presume the relationships between two species of P. ternata and P. tripartia, and their populations of the Korean Pinellia, RAPD analysis was performed. The length of the amplified DNA fragments ranged from 300 to 2,500bp. Seventy scorable RAPD makers were found from the PCR reactions with 7 random oligoprimers and were analyzed by Nei-Li's genetic coefficient. Also, some regional groups instead of same taxa were clustered from the phenogram of UPGMA analysis and NJ tree. Populations within each species were clustered at low genetic distance, there had the closed relationship. According to the regional individuals, Pinellia ternata was showed the variation pattern of morphological (leaf shape and flower color) and cytological characters(somatic chromosome numbers). So we suggested to difference of characteristic variety based on variety of habitat. According to this study, new species (Pinellia sp.) was affiliated with Pinellia and had the closest relationship with Hallasan and Japan population. The RAPD data was very useful to define the genetic variation and to discuss the relationships among the intraspecific taxa and their populations of the Korean Pinellia.

    A Study of the Butterfly Community of Mt. Gyeryong National Park, Korea (계룡산국립공원의 나비류 군집에 관한 연구)

    • Jeon, Sung-Jae;Cho, Young-Ho;Han, Yong-Gu;Kim, Young-Jin;Choi, Min-Joo;Park, Young-Jun;Nam, Sang-Ho
      • Korean Journal of Environment and Ecology
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      • v.26 no.3
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      • pp.348-361
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      • 2012
    • Altitude is a factor that plays an important role in the diversity, richness and composition of species. Recently, much attention has been paid to the distribution of butterflies and insects according to altitude. The purpose of this article is to propose a method to preserve and manage species efficiently by reviewing the distribution of butterflies according to different altitudes in Mt. Gyeryong National Park. This study found that the number of species and individuals decreased as the altitude increased, possibly due to the increased amount of shade caused by the crown density. When analyzing the factors influencing the distribution of species other than altitude, it was found that the slope, vegetative colonies and hydrosphere distance were correlated with the change in species distribution. As these species are closely related to food plants, it may save time and reduce the cost as well as allow an efficient evaluation of the bio-diversity if these species are selected as biological indicator species suitable for detecting the changes in the forest. It is judged to be a more efficient means of species preservation to accumulate and quantify the materials regarding environmental elements such as the climate, microclimate and food plants, as this would allow the butterfly distribution to be estimated.

    Social Network Type and Quality of Life of Elderly People with Dementia (사회 연결망 유형과 치매노인의 삶의 질)

    • Bae, Yun-Jo
      • Journal of the Korea Academia-Industrial cooperation Society
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      • v.13 no.11
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      • pp.5218-5228
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      • 2012
    • The aim of this study is to classify the social network types among elderly people with dementia, and to examine the relationship of network type to quality of life. This is to identify influence of social network on quality of life of elderly people with dementia. And the study seeks to identify the differences of quality of life among types of social network. The data of 222 elderly people used in this study were collected from the health center and elderly people with dementia living in the community. The interview was conducted from July 17 to August 31 in 2012 using a structured questionnaire. Descriptive statistics, one way ANOVA, multiple regression analysis and also cluster analysis with the SPSS 18.0 program were used to analyze the data. As a results, three network types were classified.:(1) inactive isolated, (2) active independent (3) inactive dependent networks. Respondents in the different network type are found to have different degrees of quality of life. Respondents inactive independent network is reported to have the highest quality of life, while those with inactive isolated network are the lowest. The results of the study suggest that the classification of network types allows consideration of the interpersonal environments of elderly people with dementia. The relative effects on quality of life for elderly people with dementia, evident in the current analysis, are the case in point. Therefore Social service programs should focus on different groups based on social network type.

    A Study on Price Volatility and Properties of Time-series for the Tangerine Price in Jeju (제주지역 감귤가격의 시계열적 특성 및 가격변동성에 관한 연구)

    • Ko, Bong-Hyun
      • Journal of the Korea Academia-Industrial cooperation Society
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      • v.21 no.6
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      • pp.212-217
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      • 2020
    • The purpose of this study was to analyze the volatility and properties of a time series for tangerine prices in Jeju using the GARCH model of Bollerslev(1986). First, it was found that the time series for the rate of change in tangerine prices had a thicker tail rather than a normal distribution. At a significance level of 1%, the Jarque-Bera statistic led to a rejection of the null hypothesis that the distribution of the time series for the rate of change in tangerine prices is normally distributed. Second, the correlation between the time series was high based on the Ljung-Box Q statistic, which was statistically verified through the ARCH-LM test. Third, the results of the GARCH(1,1) model estimation showed statistically significant results at a significance level of 1%, except for the constant of the mean equation. The persistence parameter value of the variance equation was estimated to be close to 1, which means that there is a high possibility that a similar level of volatility will be present in the future. Finally, it is expected that the results of this study can be used as basic data to optimize the government's tangerine supply and demand control policy.

    Style for the Consumer's Awareness and Purchase Behavior about the Forest Product (임산물 가공품 개발을 위한 인식 및 구매 행동 조사)

    • Lee, Eun Young;Yeo, Ga Eun;Lee, Ji O;Jeon, Yoowha;Cho, Mi Sook;Oh, Ji Eun
      • The Journal of the Korea Contents Association
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      • v.20 no.11
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      • pp.77-87
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      • 2020
    • This study aims to suggest basic data for developing forest product in Jeongeup City by surveying and analyzing consumer awareness and purchasing behavior. A survey was conducted focusing on local tourist attractions in Jeongeup City, and the analysis was conducted on 234 people. Among the local specialty processed products that the survey participants had experience in purchasing, food was mainly tea, concentrate solution, liquor, snacks and fruit syrup/enzyme. The therapy was shown in order of soap, aroma oil, and lotion. It was found that the purchase cost was more than 10,000 won and less than 30,000 won. Major purchase uses were for direct use and gifts, and 56.8% of the customers were satisfied with the satisfaction of the products, which were found to be purchased because of their good quality, good gift, and good health functions. In the question of 11 kinds of forest products, the subjects were aware of bokbunja, balloon flower, wild flower, deodeok, bracken, durum, and mal, among which bokbunja and wild flower were recognized as the representative forest products of Jeongeup. A cluster of food and therapy product selection attributes was analyzed to find target consumers. As the group that is interested in forest products and values the safety and quality of products is highly recognized, the value of forest products should be increased in consideration of the quality and safety of forest products when developing products in the future.

    Positioning Analysis for Branding in Hanwoo (한우 브랜드의 포지셔닝 분석)

    • Kim, Yun Ho;Lee, Na Ra;Rhee, Sang Young;Hwang, Seong Won
      • Journal of Agricultural Extension & Community Development
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      • v.20 no.4
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      • pp.1181-1216
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      • 2013
    • This study was accomplished to enhance brand value for hanwoo and to develop strategy for brand positioning that move customer's heart. This study in order to achieve the research was carried out as follows: First, the cluster analysis based on demographic characteristics for consumer on the basis of three types segmentation on market was conducted. Market A was consisted of a well-educated, high-income and young bracket. Market B was consisted of a well-educated, high-income and middle-aged bracket. Market C was consisted of a low-income and middle-aged class. Second, consumer's positioning map was analyzed based on perceiving data which are products' functional, emotional, and self-expressive benefits about consumer's feeling beef products. This study was analyzed each relative brand advantage and structure of competition on segmented market by conjoining each brands positioning map and feature vectors map. By the result of the analysis, each brand's positioning strategy was devised. As a result of the study, the hoengseong hanwoo is competitive about all kinds of market. We chooses that hoengseong hanwoo's target is A market, because that brand is evaluated as a high-ranked quality by high-class image of luxury price, quality, brand image. For management improvement sake, this brand(the hoengseong hanwoo) is needed to effort for promoting consumer's awareness about safety and reliability.

    Analysis of Spatio-temporal Pattern of Urban Crime and Its Influencing Factors (GIS와 공간통계기법을 이용한 시·공간적 도시범죄 패턴 및 범죄발생 영향요인 분석)

    • Jeong, Kyeong-Seok;Moon, Tae-Heon;Jeong, Jae-Hee;Heo, Sun-Young
      • Journal of the Korean Association of Geographic Information Studies
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      • v.12 no.1
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      • pp.12-25
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      • 2009
    • The aim of this study is to analyze the periodical and spatial characteristics of urban crime and to find out the factors that affect the crime occurrence. For these, crime data of Masan City was examined and crime occurrence pattern is ploted on a map using crime density and criminal hotspot analysis. The spatial relationship of crime occurrence and factors affecting crime were also investigated using ESDA (Exploratory Spatial Data Analysis) and SAR (Spatial Auto-Regression) model. As a result, it was found that crimes had strong tendency of happening during a certain period of time and with spatial contiguity. Spatial contiguity of crimes was made clear through the spatial autocorrelation analysis on 5 major crimes. Especially, robbery revealed the highest spatial autocorrelation. However as a autocorrelation model, Spatial Error Model(SEM) had statistically the highest goodness of fit. Moreover, the model proved that old age population ratio, property tax, wholesale-retail shop number, and retail & wholesale number were statistically significant that affect crime occurrence of 5 most major crimes and theft crime. However population density affected negatively on assault crime. Lastly, the findings of this study are expected to provide meaningful ideas to make our cities safer with U-City strategies and services.

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    Are We Really Open to Creativity?: Elementary Gifted Students' Perceptions on Anti-Creativity Bias (우리는 정말 새로운 것에 열려 있는가?: 초등영재들이 인식하는 반창의성 편향)

    • Lee, Taehee;Han, Ki-Soon
      • Journal of Gifted/Talented Education
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      • v.25 no.2
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      • pp.321-337
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      • 2015
    • The purpose of the present study is to examine elementary gifted students' perceptions on bias against creativity utilizing concept mapping approach. Twelve elementary gifted students participated in the group brainstorming and produced 55 final statements. Based on these statements, the multi-dimensional scale and hierarchial cluster analysis using dissimilarity matrix were performed. Average stress value was .30 which is appropriate for a two-dimensional concept mapping study. In addition, a questionnaire survey using likert 6 points scale was carried out targeting 132 elementary gifted students to analyze the degree of sympathy on their anti-creativity bias perception. The findings are as follow: First, four categories were concluded dividing gifted students' perceptions on bias against creativity from the hierarchial cluster analysis with X-Y coordinate matrix, these were 'Contradictory attitudes to creativity', 'Low evaluation for creativity', 'Forced to predetermined rules and ideas', and 'Aversion to new things'. Second, elementary gifted students were sympathetic to the order 'Forced to predetermined rules and ideas'(M=4.16), 'Aversion to new things'(M=3.68), 'Contradictory attitudes to creativity'(M=3.55) and 'Low evaluation for creativity'(M=3.30). This study aims to examine, analyze and categorize various relevant factors related to elementary gifted students' perceptions on bias against creativity. Implications of the study related to the present and future creative education were discussed in depth.


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