• Journal of Species Research
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• 제10권3호
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• pp.201-216
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• 2021

During an investigation of indigenous prokaryotic species in the Republic of Korea, a total of 38 bacterial strains belonging to the class Gammaproteobacteria were isolated from diverse environments. Samples were collected from soil, seawater, sand, sedimentary soil, rabbit feces, rat intestines, marine wetland, and tidal flats. The strains were identified to the species level using the high 16S rRNA gene sequences and showed high similarity (>98.7%) with the closest bacterial species and formed a robust clade in the neighbor-joining phylogenetic tree; it was determined that each strain belonged to independent, predefined bacteria species within the class Gammaproteobacteria. The 38 strains of Gammaproteobacteria analyzed in this study have not been reported in the Republic of Korea. Therefore, this study describes 20 genera of 13 families in 8 orders: Aeromonadales, Alteromonadales, Cellvibrionales, Enterobacterales, Lysobacterales, Oceanospirillales, Pseudomonadales, and Vibrionales. For each species, we describe Gram reaction, strain ID, isolation source, colony and cell morphology, cultural, physiological, and basic biochemical characteristics.

• 콘크리트학회논문집
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• 제16권1호
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• pp.130-138
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• 2004

The primary factors that affecting concrete sulfate resistance are the chemistry of the Portland cement and the chemistryandreplacementlevelofmineraladmixtures. In order to investigate the effect of those on the sulfate attack the testing program involved the testing of several different mortar mixes using the standardized test, ASTM C 1012. four different cements were evaluated including one Type I cement, two Type I-II cements, and one Type V cement. Mortar mixes were also made with mineral admixtures as each cement was combined with three different types of mineral admixtures. One Class F fly ash and one Class C fly ash was added in various percent volumetric replacement levels. The expansion measurements of mortar bars were taken and compared with expansion criteria recommended from past experience to investigate the effect of each factor.

• 대한화학회지
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• 제47권5호
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• pp.487-494
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• 2003

이 연구에서는 탐구화학실험을 통해 고등학교 학생들의 과학 성취도 향상정도를 논리적 사고력, 과학탐구기능, 실험 태도, 수공적 기능, 탐구과정 기능 등의 측면에서 조사하였다. 이를 위해 수도권 소재의 남녀 고등학교 2개교의 5개조 150명을 대상으로 하여 논리적 사고력, 과학탐구기능의 지필평가와 탐구과정 기능의 보고서평가, 실험태도, 수공적 기능의 실험관찰 평가를 통하여 자료를 수집하였다. 연구 결과에 의하면 학생들의 탐구과정기능과 실험 태도, 수공적 기능은 전반적으로 매우 낮은 수준으로 조사되었으나 탐구과정 기능을 제외 한 나머지의 측면에서는 유의미한 향상을 보였다. 또한 탐구화학실험이 지속적으로 수행될 때 학습자의 과학 성취도가 향상됨을 알 수 있었다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1244-1244
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

• 대한화학회지
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• 제66권5호
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• pp.376-389
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• 2022

이 연구는 과학 수업에서 의미지도 읽기 전략이 고등학생의 과학 텍스트 읽기 능력에 미치는 영향을 알아보는 것을 목적으로 하였다. 이를 위해 중소도시 소재의 과학중점학교 3학년 학생들(40명)을 대상으로 한 학기 동안 사회과학적 이슈와 화학 개념에 대한 8개의 과학 텍스트를 이용하여 의미지도 읽기 전략 수업을 적용하였다. 의미지도 읽기 전략이 과학 텍스트 읽기 능력에 미치는 영향을 알아보기 위해 학생들이 작성한 사전·사후 과학 읽기 능력 검사를 비교 분석하였다. 분석 결과, 의미지도 수업을 적용한 실험집단의 과학 읽기 능력 검사 점수의 평균이 비교집단보다 유의미하게 높았다. 읽기 과제를 해결하기 전에 의미지도를 그리는 것은 학생들이 텍스트에서 정보를 찾고, 의미를 추론하는 것에 효과가 나타났다. 학생들 역시 의미지도가 텍스트의 내용을 시각화하여 개념들 사이의 관계를 파악하기 쉽고, 자신의 배경지식과 텍스트 내용을 연결시킬 수 있어 텍스트의 이해에 도움이 된다고 인식하고 있음을 알 수 있다.

• 대한화학회지
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• 제62권4호
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• pp.299-313
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• 2018

과학교육에서 탐구 중심의 교육은 중요하나 실제 교육 현장에서는 현실적인 어려움으로 인하여 획일화된 형태의 과학 탐구가 이루어지고 있다. 이러한 문제를 해결하기 위한 대안으로 본 연구에서는 RS(Reverse Science)를 중학교 화학 교과 수업에 활용하여 학생들에게 능동적으로 탐구 학습에 참여하고 과학적 사고가 가능한 기회를 제공하고자 한다. 본 연구에서는 이를 개발하고 적용하여 중학교 학생들의 과학 탐구 능력에 미치는 효과와 이에 대한 학생들의 인식을 알아보았다. 프로그램 적용을 위해 D 소재 중학교 2학년 6학급을 선정하고, 실험 집단과 비교 집단을 각각 64명, 64명으로 128명을 구성하였다. 실험 집단에는 RSP기반 화학 탐구 프로그램을, 비교 집단에는 같은 주제의 강의식 수업과 확인실험을 3개의 주제로 7차시에 걸쳐 지도하였으며, 과학 탐구 능력 검사지를 사용하여 사전 사후 검사 결과를 분석하고, 수업 관찰, 학생 활동지, 주관식 설문지, 인터뷰 내용의 분석을 통해 드러난 학생들의 인식을 바탕으로 프로그램의 효과를 논의하였다. 그 결과, 본 프로그램을 활용한 수업이 중학생의 과학 탐구 능력에 통계적으로 유의미한 변화를 보였으며, 구체적으로 실험집단은 비교집단에 비하여 기초 탐구 능력의 하위요소 중 예상에서 유의미한 것으로 나타났고 통합 탐구 능력의 하위요소인 자료변환, 가설설정, 변인통제에서 그 차이가 유의한 것으로 나타났다(p<.05). 또한, 학생들이 과학 법칙이 생성되는 과정에 관심을 가지게 되었고 친구들과 협력으로 인해 높은 흥미를 보였으며 학생들에게 과정 중심의 탐구를 통해 과학적 사고를 하는 기회를 제공하였다. 결국, RSP기반 화학 탐구 프로그램이 학생들에게 미치는 긍정적인 영향을 바탕으로 프로그램의 활용 가능성을 확인 할 수 있다.

• 한국환경과학회지
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• 제21권8호
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• pp.909-929
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• 2012

It is an after-school material for elementary school student based on STEAM education which has a theme of water pollution as a global issue. First of all, we take a look at various ways of measuring water pollution and among them, we include experiment for student to know about the water pollution by using indicator organisms. Next, we examine how some elements in our daily life affect on water and provide class with systematically technological and engineering solution. With this text book, we let the student recognize environmental problem and seek for the solution about it. Therefore, it helps student to connect with stream of thought.

• BMB Reports
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• 제45권8호
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• pp.442-451
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• 2012

Milk is an important fluid in glycobiology because it contains a number of short carbohydrate chains either free or as glycoconjugates. These compounds as a class are the most abundant component and benefit the infant by developing and maintaining the infant's gut flora. New and emerging methods for oligosaccharide analysis have been developed to study milk. These methods allow for the rapid profiling of oligosaccharide mixtures with quantitation. With these tools, the role of oligosaccharide in milk is being understood. They further point to how oligosaccharide analysis can be performed, which until now has been very difficult and have lagged significantly those of other biopolymers.

• Journal of Microbiology and Biotechnology
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• 제10권4호
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• pp.539-543
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• 2000

A new bacteriocin, named lacticin 10790, was purified from Lactococcus lactis subsp. cremoris KFCC 10790 by sequential adsorption, immobilized metal-affinity, cation-exchange, and $C_{18}$ reverse-phase chromatographies. The molecular mass of the bacteriocin was estimated to be between 3,000 and 3,500 Da. Lacticin 10790 showed a broad antimicrobial spectrum against many gram-positive bacteria. The bacteriocin was stable to heat and in the pH range between 2 and 6. Lacticin 10790 was destroyed by digestion with proteases and exhibited a bactericidal mode of action. An amino acid composition analysis of purified lacticin 10790 revealed a high concentration of hydrophobic amino acids. The N terminus of the bacteriocin was found to be blocked, upon analysis by Edman degradation. The results suggest that lacticin 10790 is a class I bacteriocin.

• 한국응용과학기술학회지
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• 제17권3호
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• pp.188-191
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• 2000

A new class of deep UV Photoresist based on the principles of chemical amplification was developed. This photoresist consists of three basic elements: a copolymer, blocked tetrabromobisphenol-A as a dissolution inhibitor and a photosensitive onium salt as a photoacid generator. On irradiation followed by a post exposure bake, tert-butoxycarbonyloxy phenyl group is converted to phenol group. Thus the initially base insoluble resin is converted under UV irradiation to a base soluble resin which may be preferentially removed by dissolution. This new photoresist display high sensitivity, 10 $mJ/cm^{2}$.