• Title/Summary/Keyword: content analyses

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Analyses of Early Childhood Teachers' Concept Maps on Economic Education

  • Jeon, Eun Sun;Kim, Sang Lim
    • International Journal of Advanced Culture Technology
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    • v.7 no.1
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    • pp.43-48
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    • 2019
  • The purpose of the study was to examine early childhood teachers' content knowledge of economic education. The subjects, 60 early childhood teachers, were asked to draw concept maps about early childhood economic education. Their concept maps were analyzed in terms of superordinate and subordinate concepts by contents and frequencies. The results were as follows. First, 248 superordinate concepts were shown, and they were categorized into nine representative terms: 'Scarcity and Choice,' 'Decision Making,' 'Monetary Value,' 'Production,' 'Consumption,' 'Distribution,' 'Restrain,' 'Reuse,' and 'Economic Education Activity.' Second, 1,440 subordinate concepts were shown, and 'coin,' 'bill,' 'saving,' 'bank,' and 'money' were frequently shown. Third, the mean numbers of subordinate concepts per superordinate concepts showed that early childhood teachers had more knowledge about 'Consumption,' 'Monetary Value,' and 'Economic Education Activity' than other superordinate concepts. The results showed the need for early childhood teachers to have more systematic and hierarchical pedagogical content knowledge on economic education.

Machine learning-based regression analysis for estimating Cerchar abrasivity index

  • Kwak, No-Sang;Ko, Tae Young
    • Geomechanics and Engineering
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    • v.29 no.3
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    • pp.219-228
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    • 2022
  • The most widely used parameter to represent rock abrasiveness is the Cerchar abrasivity index (CAI). The CAI value can be applied to predict wear in TBM cutters. It has been extensively demonstrated that the CAI is affected significantly by cementation degree, strength, and amount of abrasive minerals, i.e., the quartz content or equivalent quartz content in rocks. The relationship between the properties of rocks and the CAI is investigated in this study. A database comprising 223 observations that includes rock types, uniaxial compressive strengths, Brazilian tensile strengths, equivalent quartz contents, quartz contents, brittleness indices, and CAIs is constructed. A linear model is developed by selecting independent variables while considering multicollinearity after performing multiple regression analyses. Machine learning-based regression methods including support vector regression, regression tree regression, k-nearest neighbors regression, random forest regression, and artificial neural network regression are used in addition to multiple linear regression. The results of the random forest regression model show that it yields the best prediction performance.

A Study on Effectiveness of Mathematics Teachers' Collaborative Learning: Focused on an Analysis of Discourses

  • Chen, Xiaoying;Shin, Bomi
    • Research in Mathematical Education
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    • v.25 no.1
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    • pp.1-20
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    • 2022
  • Collaborative learning has been highlighted as an effective method of teachers' professional development in various studies. To disclose teachers' discourse threads in the process of collaborative learning for developing their knowledge, this paper adopted two methods including "content analysis" and "time-sequential analysis" of learning analytics. Such analyses were implemented for mining teachers' updated knowledge and the discourse threads in the discussion during collaborative learning. The materials for analysis involved two aspects: one was from the video-taped lesson observation reports written by teachers before and after discussing, and the other was from their discourses during the discussion process. The results proved that teachers' knowledge for teaching the centroid of a triangle was updated in the collaborative learning period, and also revealed the discourse threads of teachers' collaboration contained "requesting information or opinions", "building on ideas", and "providing evidence or reasoning", with the emphasis on "challenging ideas or re-focusing talk"

A Study on the Effective Production of Game Weapons Using ZBrush

  • YunChao Yang;Xinyi Shan;Jeanhun Chung
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.397-402
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    • 2023
  • With the rapid adoption of 5G, the gaming industry has undergone significant innovation, with the quality of game content and player experience becoming the focal point of attention. ZBrush, as a professional digital sculpting software, plays a crucial role in the production of 3D game models. In this paper, we explore the application methods and techniques of ZBrush in game weapons production through specific case analyses. We provide a detailed analysis of two game weapon models, discussing the design and modeling process, lowto-high poly conversion, UV unwrapping and texture baking, material texture creation and optimization, and final rendering. By comparing the production process and analyzing the advantages and disadvantages of ZBrush, we establish a theoretical foundation for further design research and provide reference materials for game industry professionals, aiming to achieve higher quality and efficiency in 3D game model production.

Role of class-C fly Ash in the Development of Strength & Microstructure of Fly Ash-GGBS Geopolymer

  • Sasui, Sasui;Kim, Gyu Yong;Lee, Sang Kyu;Son, Min jae;Hwang, Eui Chul;Nam, Jeong Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.79-80
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    • 2020
  • The class-C fly ash (FA) and ground granulated blast-furnace slag (GGBS) based geopolymer activated in NaOH (4M) was studied regarding compressive strength, porosity, microstructure and formation of crystalline phases. The class-C FA and GGBS blends resulted in reduced strength and increased porosity of the matrix with the increase in FA content. The unreactivity of calcium in blends was observed with increasing FA content leading to strength loss. it is evident from XRD patterns that calcium in FA did not contribute in forming CSH bond, but formation of crystalline calcite was observed. Furthermore, XRD analyses revealed that reduction in FA leads to the reduction in crystallinity and SEM micrographs showed the unreactive FA particles which hinder the formation of denser matrix.

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Classification and multidimensional analysis of plant communities mt. moak provincial park, korea (母岳山 道立公園 植物群集의 分類와 多次元分析)

  • Kim, Jeong-Un;Yang-Jai Yim
    • The Korean Journal of Ecology
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    • v.16 no.1
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    • pp.1-15
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    • 1993
  • Ordination and classification techiques were used to analyze the forest communities and to examine the integration problem of community-to-ecological species group in mt. moak provincial park of korea. phytosociological classiication based on floristic composition produced seven commuities of zelkova serrata, carpinus densiflora. These seven communities were well discriminated in the two-dimensional analyses of soil moisture, soil organic matter content and temperature(elevation), eciprocally, and in three-dimensional space of the three environmental factors also. They corresponded to seven ecological groups derived from the distribution pattern analysis of species populations in this mountain.

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An Ambiguity View of Specificity

  • Yeom, Jae-Il
    • Korean Journal of English Language and Linguistics
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    • v.1 no.1
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    • pp.81-100
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    • 2001
  • In this paper I review previous analyses of specific indefinites, and propose a new analysis. The main claim is that a specific indefinite presupposes that an agent, a speaker in general, has in mind an individual which satisfies the descriptive content. I provide evidence for the ambiguity view of specificity. First, I show that a specific indefinite triggers a pre- supposition. Second, I show that a specific indefinite is a strong quantifier while a nonspecific is a weak one. Finally, I discuss different behaviors of specific and nonspecific indefinites in anaphora.

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Multiparameter Flow Cytometry: Advances in High Resolution Analysis

  • O'Donnell, Erika A.;Ernst, David N.;Hingorani, Ravi
    • IMMUNE NETWORK
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    • v.13 no.2
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    • pp.43-54
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    • 2013
  • Over the past 40 years, flow cytometry has emerged as a leading, application-rich technology that supports high-resolution characterization of individual cells which function in complex cellular networks such as the immune system. This brief overview highlights advances in multiparameter flow cytometric technologies and reagent applications for characterization and functional analysis of cells modulating the immune network. These advances significantly support highthroughput and high-content analyses and enable an integrated understanding of the cellular and molecular interactions that underlie complex biological systems.

인삼과 산양삼, 산삼의 HPLC를 이용한 부위별 성분 분석 비교

  • Han, Young-Ju;Kwon, Ki-Rok;Cha, Bae-Chun;Kwon, Oh-Man
    • Journal of Pharmacopuncture
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    • v.10 no.1 s.22
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    • pp.37-53
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    • 2007
  • Objectives : The aim of this experiments is to provide an objective differentiation of ginseng, Korean and Chinese cultivated wild ginseng, and natural wild ginseng through components analysis of different parts of ginseng. Methods : Comparative analyses of ginsenoside-$Rg_3$, ginsenoside-$Rh_2$, and ginsenosides $Rb_1$ and $Rg_1$ from the root, stem, and leaves of ginseng, Korean and Chinese cultivated wild ginseng, and natural wild ginseng were conducted using HPLC. Results : 1. For content comparison of leaves, ginseng showed highest content of ginsenoside $Rg_1$ than other samples. Natural wild ginseng showed relatively high content of ginsenosides $Rg_1$ and $Rb_1$ than other samples. 2. For content comparison of the stem, ginseng and 10 years old Chinese cultivated wild ginseng didn't contain ginsenoside $Rb_1$. Natural wild ginseng showed higher content of ginsenosides $Rg_1$ and $Rb_1$ than other samples. 3. For content comparison of the root, ginsenoside $Rh_2$ was found only in 5 and 10 years old Korean cultivated wild ginseng. 4. Distribution of contents by the parts of ginseng was similar in ginseng and Chinese cultivated wild ginseng. Conclusions : Above experiment data can be an important indicator for the identification of ginseng, Korean and Chinese cultivated wild ginseng, and natural wild ginseng.

Anaysis of Fe in Seepage Water and Precipitates around a Hydrothermal Alteration Zone

  • Yun, Hyun-Seok;Moon, Seong-Woo;Lee, Jin-Kook;Jeong, Gyo-Cheol;Seo, Yong-Seok
    • The Journal of Engineering Geology
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    • v.27 no.3
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    • pp.345-351
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    • 2017
  • Acid drainage in civil engineering structures such as tunnels may lead to the deposition of precipitates that clog drainage channels and pipework. In evaluating acid drainage, the Fe content of water and precipitates, indicated by reddish brown coloration of rock surfaces, rivers, and soils, may be an important factor. In this study, acid drainage was evaluated by analyzing the Fe content of reddish brown seepage water that occurred in part of a tunnel. Geological investigations around the tunnel revealed a hydrothermal alteration zone cutting the bedrock, and cropping out in the upper parts of the tunnel. Analysis of drillcore revealed many fracture zones and veins. Inductively coupled plasma spectrophotometric analyses of water, precipitates, and soil samples, collected in the seepage water zone and around the tunnel, were conducted to evaluate acid drainage. The Fe content of seepage water in the tunnel was 0.030-0.333 mg/kg, which is 2-22 times higher than in local groundwater. The Fe content of precipitates in the tunnel was 165,403-301,051 mg/kg, similar to the 206,167-422,964 mg/kg content of drillcore from the hydrothermal alteration zone located above the tunnel. It is concluded that the seepage water is derived from Fe-containing acid drainage flowing in perforated tunnel drainpipes along the fracture zones and veins around the hydrothermal alteration zone.