• 한국콘텐츠학회논문지
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• 제22권1호
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• pp.197-213
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• 2022

본 연구에서는 서울시 도시 브랜드 I SEOUL U에 대한 인식과 평가를 분석하기 위하여 온라인 빅데이터를 대상으로 한 텍스트마이닝 분석을 수행하였다. 이를 위하여 데이터 수집 및 분석을 위한 처리 프로그램인 텍스톰(Textom)을 사용하였고 'I SEOUL U' 키워드를 분석키워드로 선정하였다. 키워드 분석 결과 I SEOUL U와 관련된 키워드는 첫째, 비즈니스와 마케팅 관련 용어로서 팝업 스토어, 갤러리, 공동 브랜드, (축제 등) 개최, 상품, 민간기업, 온라인 등이다. 둘째, 이벤트 관련 용어로서 한강, 식목일, 나무 심기, 홍대, 크리스마스, 마포구, 중구, 세종대, 축제거리 등이다. 셋째는 홍보 관련 용어로서 로봇공학박사 데니스 홍, Government, 조형물, Korea 등이었다. N gram 분석 결과에서는 서울시 브랜드로서 공익적 성격의 도시 브랜드인 I SEOUL U의 경우에도 민간 기업의 상업 활동에 많은 기여를 하는 것으로 밝혀졌다. 연결 중심성 분석에서는 비즈니스 및 마케팅, 이벤트, 홍보 등의 범주가 도출되었다. 매트릭스 분석에서는 제품 판매와 관련하여 주로 팝업 스토어의 아이템들이 많고 공동 브랜드 형태의 제품들이 개발되는 것으로 나타났다. 토픽 모델링에서는 총 10개의 토픽이 추출되었고 상업적 활용과 이벤트 축제에 관한 정보 니즈가 많은 것으로 나타났다.

• 대한약학회:학술대회논문집
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• 대한약학회 2000년도 NEW STRATEGY FOR DRUG DEVELOPMENT IN POST-GENOMIC ERA(대한약학회)
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• pp.217.1-217.1
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• 2000

• 대한수학회지
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• 제33권2호
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• pp.291-307
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• 1996

In this paper, we shall show the existence of solutions of the following nonlinear partial differential equation $$ {^{divA(-\Delta u) = f(x, u, \Delta u) in \Omega}^{u = 0 on \partial\Omega} $$ where $f(x, u, \Delta u) = -u$\mid$\Delta u$\mid$^{p-2} + h, p \geq 2, h \in L^\infty$.

• 농촌지도와개발
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• 제11권1호
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• pp.53-65
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• 2004

The purposes for this study was to provide information for developing educational programs for U-turn farmers' based on their needs on rural settlement. Special objectives of the study were; 1) to survey the general characteristics of U-turn farmers including motives. preparation, and education, 2) to investigate problems and difficulties of the U-turn farmers in rural settlement 3) to identify the reasons for success and failure in U-turn filming, and 4) to provide information in developing programs for U-turn farmers. Data for the study were collected from 526 U-turn farmers throughout the country, and after data cleaning, 494 questionnaires were used for data analysis. Based on the results of this study, the following were recommended for further development of U-turn farming programs; 1) to facilitate and expand continuous surveys on the motives. preparation, education and information for U-turn farmers will be neceassary to update the important and current information on U-turn farming. 2) Further examination of the problems and difficulties of U-turn farmers would be necessary to develop appropriate policies and educational programs for U-turn farming. 3) continuous investigations on the reasons for success and failure of U-turn farming would be necessary to develop appropriate apicultural policies. 4) for more effective educational programs for U-turn farmers. selection of educators, institution, curricular and timing etc. Should be carefully designed to meet the practical needs of the U-turn farmers. 5) more research activities should be encouraged to improve program development and implementation of U-turn farming.

• 대한수학회보
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• 제33권2호
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• pp.193-204
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• 1996

Let U and V be nonempty compact subsets of two Hausdorff topological vector spaces. Suppose that a function $J : U \times V \to R$ is such that for each $\upsilon \in V, J(\cdot, \upsilon)$ is lower semi-continuous and convex on U, and for each $ u \in U, J(u, \cdot)$ is upper semi-continuous and concave on V.

• 말소리와 음성과학
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• 제10권2호
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• pp.15-24
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• 2018

Earlier studies reported that the /o/ and /u/ phonemes of Seoul Korean were currently merging in the F1/F2 space. However, studies on perception tests have shown that rates of correctness were high, even in cases where the two vowels overlapped. This study explores whether there is another acoustic parameter that differentiates /o/ from /u/, besides the F1/F2 contrast. Seventy-five native speakers of Seoul Korean, born between 1953 and 1999, participated in a production test. The data collected were analyzed in terms of F1 and F2, H1-H2, and F0. The result shows that the /o/ and /u/ of female speakers almost overlap in the F1/F2 space for all ages, while H1-H2 values are significantly different between the two vowels regardless of age. On the other hand, the /o/ and /u/ of male speakers are largely well separated in the F1/F2 space, while the H1-H2 values between the two vowels are very close at all ages. F0 effect is relatively small for both male and female speakers, even though there is a statistically significant difference. The result of this study provides evidence that female speakers use phonation differences to distinguish /o/ from /u/, and that the F1/F2 contrast has been replaced by H1-H2 values.

• BMB Reports
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• 제47권5호
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• pp.274-279
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• 2014

Bortezomib has been known as the most promising anti-cancer drug for multiple myeloma (MM). However, recent studies reported that not all MM patients respond to bortezomib. To overcome such a stumbling-block, studies are needed to clarify the mechanisms of bortezomib resistance. In this study, we established a bortezomib-resistant cell line (U266/velR), and explored its biological characteristics. The U266/velR showed reduced sensitivity to bortezomib, and also showed cross-resistance to the chemically unrelated drug thalidomide. U266/velR cells had a higher proportion of CD138 negative subpopulation, known as stem-like feature, compared to parental U266 cells. U266/velR showed relatively less inhibitory effect of prosurvival NF-${\kappa}B$ signaling by bortezomib. Further analysis of RNA microarray identified genes related to ubiquitination that were differentially regulated in U266/velR. Moreover, the expression level of CD52 in U266 cells was associated with bortezomib response. Our findings provide the basis for developing therapeutic strategies in bortezomib-resistant relapsed and refractory MM patients.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2009년도 추계학술발표논문집
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• pp.798-801
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• 2009

인구의 고령화와 정보통신 기술의 발전이 맞물리면서 의료비 지출에 대한 절감의 필요성과 편리한 의료 서비스를 이용하고자 하는 소비자의 욕구, 병원에 구축된 IT인프라의 효과를 극대화 시키고자하는 공급자의 욕구 등이 부합되면서 그 기반이 조성된 것으로 볼 수 있다. 본 연구에서는 u-health 소프트웨어의 분야의 기반 기술을 조사하고 u-health 소프트웨어 시장과 표준화 동향을 조사하며 u-health 소프트웨어 신뢰성의 품질평가 메트릭을 개발하였다.

• Perspectives in Nursing Science
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• 제11권1호
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• pp.18-29
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• 2014

Purpose: This study sought to ascertain and describe u-Health nurses (ubiquitous healthcare nurse, tele-nurse)' experiences working with low-income elders in Korea. Methods: Data were collected through semi-structured interview, focus group interviews of 6 nurses and participant observations in community places in public rental housing in the city of Seoul. The ethnographical analysis method, proposed by Spradley, was used to analyze interview data. Results: We identified two major clusters of themes on common issues and concerns experienced by nurses: "work environment" and "daily work life." In addition, ten themes and fourteen sub-themes were extracted from the field work data. Conclusion: The study provided a deeper understanding of the experiences and services of u-Health nurses in Korea, of which much remains to be understood, as the healthcare services they currently provide are limited. Moreover, its findings could empower novice nurses and expand nurse's professional knowledge and competence.

• Korean Journal of Radiology
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• 제22권3호
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• pp.476-488
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• 2021

Objective: We aimed to develop a deep neural network for segmenting lung parenchyma with extensive pathological conditions on non-contrast chest computed tomography (CT) images. Materials and Methods: Thin-section non-contrast chest CT images from 203 patients (115 males, 88 females; age range, 31-89 years) between January 2017 and May 2017 were included in the study, of which 150 cases had extensive lung parenchymal disease involving more than 40% of the parenchymal area. Parenchymal diseases included interstitial lung disease (ILD), emphysema, nontuberculous mycobacterial lung disease, tuberculous destroyed lung, pneumonia, lung cancer, and other diseases. Five experienced radiologists manually drew the margin of the lungs, slice by slice, on CT images. The dataset used to develop the network consisted of 157 cases for training, 20 cases for development, and 26 cases for internal validation. Two-dimensional (2D) U-Net and three-dimensional (3D) U-Net models were used for the task. The network was trained to segment the lung parenchyma as a whole and segment the right and left lung separately. The University Hospitals of Geneva ILD dataset, which contained high-resolution CT images of ILD, was used for external validation. Results: The Dice similarity coefficients for internal validation were 99.6 ± 0.3% (2D U-Net whole lung model), 99.5 ± 0.3% (2D U-Net separate lung model), 99.4 ± 0.5% (3D U-Net whole lung model), and 99.4 ± 0.5% (3D U-Net separate lung model). The Dice similarity coefficients for the external validation dataset were 98.4 ± 1.0% (2D U-Net whole lung model) and 98.4 ± 1.0% (2D U-Net separate lung model). In 31 cases, where the extent of ILD was larger than 75% of the lung parenchymal area, the Dice similarity coefficients were 97.9 ± 1.3% (2D U-Net whole lung model) and 98.0 ± 1.2% (2D U-Net separate lung model). Conclusion: The deep neural network achieved excellent performance in automatically delineating the boundaries of lung parenchyma with extensive pathological conditions on non-contrast chest CT images.