• 한국콘텐츠학회논문지
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• 제13권6호
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• pp.77-85
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• 2013

본 연구는 중국 최초의 대형 역사 무용극을 표방한 서안의 <장한가> 라는 작품 속에 들어있는 영상이미지의 공연효과를 분석하고자 한 것이다. 즉 <장한가> 작품 속에 들어 있는 특정 주제, 소재들을 표현함에 있어 어떠한 영상이미지를 사용하여 공연의 효과를 거두고 있는가에 대한 것이다. 영상이란 '사물의 모습이 반영된 상', 특히 영화, 텔레비전, 사전 등의 이미지를 의미하는 말로 그 범위는 매우 넓으며 image의 어원은 imitary에 근거를 둔 것으로 구체적 또는 심적으로 나타낼 수 있는 시각적 표시를 말한다. 따라서 영상이미지는 '영상'과 '이미지' 라는 동의어의 결합으로 볼 수 있는데 여기서 영상이란 단순히 시나리오의 문학성, 연극성, 미술성 등과 같이 전통적인 예술장르의 종합이 아니라 모든 예술의 본원적 기능을 통합하고 인간존재의 오묘한 이미지 활동을 연결한 결과로서의 총체라고 보는 것이다. 연구결과는 다음과 같다. <장한가>에 표현되는 영상 이미지의 효과로 첫째, 시대성과 문화를 반영한 함축적 의미의 표현 효과 둘째, 상상적 동일시 효과, 셋째, 장면전환의 효과 넷째, 몰입을 통한 극적 재미의 효과, 다섯째, 공연의 입체감을 통한 시각적 효과가 있음을 알 수 있었다.

• 한국콘텐츠학회논문지
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• 제9권3호
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• pp.345-352
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• 2009

유리천장은 여성들이나 소수민들이 조직 내에서 보다 상위직급으로 승진하는 것을 막는 투명한 장벽이다. 유리천장의 추세는 최근 '우먼파워'와 '양성평등'의 여성정책 등으로 많이 감소되었으나 아직도 많은 기업에서 만연하고 있는 것도 사실이며, 많은 연구에서 뿌리 깊은 유리천장의 존재가 확인되고 있다. 이에 본 연구는 202명의 여행사에 재직 중인 여성종사원을 대상으로 유리천장에 대한 지각, 조직몰입 및 이직의도 간의 관계를 살펴보았다. 분석결과, 유리천장에 대한 지각은 정서적 몰입에 부(-)의 영향을 미치며, 정서적 몰입은 이직의도에 부(-)의 영향을 주는 것으로 나타났다. 따라서 조직몰입을 다차원으로 구분해서 접근할 필요성이 제기되었다. 또한 여행사에 종사하고 있는 여성종사원들은 비록 유리천장을 지각하더라도 이직의도가 없을 수 있지만, 정서적 몰입을 낮게 지각한다면 이직의도가 높아질 수 있다는 것이다. 따라서 여행사 내에서 개인이 감정적으로 애착을 가지고 조직과 혼연일체감을 느끼게 할 경우, 즉 정서적 몰입을 높일 경우 유리천장이 존재하더라도 이직의도를 줄여갈 수 있다는 것을 시사한다.

• Biotechnology and Bioprocess Engineering:BBE
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• 제7권3호
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• pp.178-184
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• 2002

High-throughput screening has become a popular method used to identify new “leads”for potentially therapeutic compounds. Further screening of these lead compounds is typically done with secondary assays which may utilize living, functioning cells as screening tools. A problem (or benefit) with these cell-based assays is that living cells are very sensitive to their environment. We have been interested in the process of stem cell migration and how it relates to the cellular therapy of bone marrow transplantation. In this study we describe a secondary, cell-based assay for screening the effects of various in-vitro conditions on Immature Hematopoietic Cell (IHC) migration. Our results have revealed many subtle factors, such as the cell's adhesive characteristics, or the effect of a culture's growth phase, that need to be accounted for in a screening protocol. Finally, we show that exponentially glowing KG1a cells (a human IHC cell line) were 10 times more motile than those in the lag or stationary phases. These data strongly suggest that KG1a cells secrete a chemokinetic factor during the exponential growth phase of a culture.

• 한국환경보건학회지
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• 제36권1호
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• pp.1-13
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• 2010

Evidences supporting gene-environment interaction are accumulating in terms of environmental exposure including lifestyle factors and related genetic variants. One form of defense mechanism against cancer development involves a series of genes whose role is to metabolize (activation/detoxification) and excrete potentially toxic compounds and to repair subtle mistakes in DNA. The purpose of this article is to provide a brief review of the notion of gene-environment interaction, environmental/occupational carcinogens and related cancers, and previous studies of gene-environment interaction on cancers caused by exposure to carcinogenesis. With a number of studies on the interaction between lifestyle factors (e.g., smoking and diet) and genetic polymorphisms in genes involved in xenobiotic metabolism and DNA repair excluded, only several studies have been conducted on the interactive effects between polymorphisms of CYPs, GSTs, ERCCs, XRCCs and environmental/occupational carcinogens such as vinyl chloride, benzo[a]pyrene, and chloroform on carcinogenesis or genotoxicity. Future studies may need to be conducted with sufficient number of subjects and based on occupational cohorts to provide useful information in terms of advanced risk assessment and regulation of exposure level.

• 정보기술응용연구
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• 제1권
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• pp.173-211
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• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• Interdisciplinary Bio Central
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• 제6권1호
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• pp.1.1-1.6
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• 2014

A growing body of evidence shows that most psychological traits are polygenic, that is they involve the action of many genes with small effects. However, the study of selection has disproportionately been on one or a few genes and their associated sweep signals (rapid and large changes in frequency). If our goal is to study the evolution of psychological variables, such as intelligence, we need a model that explains the evolution of phenotypes governed by many common genetic variants. This study illustrates simple statistical tools to detect signals of recent polygenic selection: a) ANOVA can be used to reveal significant deviation from random distribution of allele frequencies across racial groups. b) Principal component analysis can be used as a tool for finding a factor that represents the strength of recent selection on a phenotype and the underlying genetic variation. c) Method of correlated vectors: the correlation between genetic frequencies and the average phenotypes of different populations is computed; then, the resulting correlation coefficients are correlated with the corresponding alleles' genome-wide significance. This provides a measure of how selection acted on genes with higher signal to noise ratio. Another related test is that alleles with large frequency differences between populations should have a higher genome-wide significance value than alleles with small frequency differences. This paper fruitfully employs these tools and shows that common genetic variants exhibit subtle frequency shifts and that these shifts predict phenotypic differences across populations.

• 한국의류산업학회지
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• 제20권2호
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• pp.167-176
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• 2018

In this study, an eye-tracking program that can confirm a design cognition process was developed for the purpose of presenting strategic methods to create fashion images, and the program was used to identify what effects fashion models' external characteristics have on the cognition of design. The data for analysis were collected through an eyemovement tracking experiment and a survey, with the focus on the research problem that differences in models' external uniformity will lead to differences in the eye movement for perceiving models and design as well as the image sensibility. The results of the analysis are as follows. First, it was confirmed that the uniformity of model types and the simplicity/complexity of design led to differences in the eye movement directed at design and models and the gaze ratio. Consequently, it is deemed that models should be selected in consideration of the characteristics of design and the intention of planning when creating fashion images. Second, it was found that in terms of the cognition of design, external conditions of models affect design sensibility. A change in models led to a subtle difference in sensibility cognition even when the design condition did not change. Thus, not only the design but also model attributes are factors that should be considered important in fashion planning.

• 대한화장품학회지
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• 제27권1호
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• pp.83-98
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• 2001

Inositol, is a water-soluble crystalline compound. It helps with people’s metabolism and decreases cholesterol levels. It is also known to have anti-cancer results. In order to find out the affects of Inositol on the skin, Inositol skin lotion was produced with each amount of Inisitol: 0, 0.5, 1.0, 2.0, 3.0 wt% and tested on the faces and the arm areas of women in all ages for 7 weeks. The moisture, sebum, change in elasticity, and improvement of wrinkles were measured. Corneometer, Sebumeter, Cutometer, and an image analyzer were used as measuring equipments. There are subtle differences in the subjects when 1-2% of Inositol is used the moisture of the skin improved 19%, elasticity by 17%, and the amount of sebum for dry and oily skin types adjusted to the amount of sebum of the neutral skin types. This influenced the length, width, the number of peak, and the height of the wrinkles to improve 12.4%. It is thought that Inositol would be an effective new raw material in cosmetics.

• 대한의용생체공학회:의공학회지
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• 제24권3호
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• pp.167-173
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• 2003

스퀴드 자력계는 외부의 배경잡음원에 대해서 매우 민감하므로 뇌자도 신호 측정을 목적으로 하는 미세 자기신호 측정에서는 배경자기잡음을 충분히 제거해야 한다. 배경잡음 제거에 일반적으로 사용되는 소프트웨어적 방법으로는 합성 미분계 및 적응필터 방법이 있다. 본 논문에서는 뇌자도 측정용으로 개발한 37채널 스퀴드 자력계에서 합성 미분계 적응필터 및 주파수 영역 적응필터를 적용하여 각각의 배경잡음 제거 효과 및 각 방법의 장단점을 살펴보고, 임상 뇌자도 측정시 상기 방법들의 선택적 적용에 관하여 논의한다

• Clinical and Experimental Reproductive Medicine
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• 제47권2호
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• pp.85-93
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• 2020

The implantation process is highly complex and difficult to mimic in vitro, and a reliable experimental model of implantation has yet to be established. Many researchers have used embryo transfer (ET) to assess implantation potential; however, ET with pseudopregnant mice requires expert surgical skills and numerous sacrificial animals. To overcome those economic and ethical problems, several researchers have tried to use outgrowth models to evaluate the implantation potential of embryos. Many previous studies, as well as our experiments, have found significant correlations between blastocyst outgrowth in vitro and implantation in utero by ET. This review proposes the blastocyst outgrowth model as a possible alternative to animal experimentation involving ET in utero. In particular, the outgrowth model might be a cost- and time-effective alternative method to ET for evaluating the effectiveness of culture conditions or treatments. An advanced outgrowth model and further culture of outgrowth embryos could provide a subtle research model of peri- and postimplantation development, excluding maternal effects, and thereby could facilitate progress in assisted reproductive technologies. Recently, we found that outgrowth embryos secreted extracellular vesicles containing specific microRNAs. The function of microRNAs from outgrowth embryos should be elucidated in further researches.