• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.9719-9723
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• 2014

Background: Globally, cervical cancer is a major public health concern. Cervical cancer is the second most common cancer among women, resulting in approximately 500,000 cases per year. The purpose of this study is to compare disease characteristics between Black Hispanic (BH) and Black non-Hispanic (BNH) women in the US. Materials and Methods: We used stratified random sampling to select cervical cancer patient records from the SEER database (1973-2009). We used Chi-square and independent samples t-test to examine differences in proportions and means. Results: The sample included 2,000 cervical cancer cases of Black non-Hispanic and 91 Black Hispanic women. There were statistically significant differences between black Hispanic and black non- Hispanics in mean age at diagnosis (p<0.001), mean survival time (p<0.001), marital status (p<0.001), primary site of cancer (p<0.001); lymph node involvement (p<0.001); grading and differentiation (p<0.0001); and tumor behavior (p<0.001). Black women were more likely to develop cervical cancer and to have the highest mortality rates from the disease. Conclusions: Findings from this study show clear racial and ethnic disparities in cervical cancer incidence and prognosis that should be addressed.

• Journal of architectural history
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• v.21 no.4
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• pp.59-70
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• 2012

This study aims to find methodical similarities between pop art and Robert Venturi's works. Pop art and Robert Venturi's works gave attention to periodical changes and wanted to communicate with the public. This study approaches a topic from psychological viewpoints, especially visual dissonance. The results are as follows: 1. Manufactured Products ; Commercial Ornaments ${\rightarrow}$ Character Changes in Experienced Stimulation 2. Daily Elements ; Traditional Elements(Classic) ${\rightarrow}$ Contextual Effect of Canonic Representation In these cases, visual dissonance attracted a lot of public attention, and people would develop new meanings of objet. Pop art and Robert Venturi's works indicated value change in post-industrial society, therefore, this study can help to understand the correlation.

• Journal of Science of Art and Design
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• v.5
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• pp.131-158
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• 2003

• 정보보호뉴스
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• s.134
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• pp.19-21
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• 2008

기업마다 국가마다 정보보호에 대한 문화 차이는 존재하기 마련이다. 하지만 그 차이가 크다고는 볼 수 없다. 다양한 공격기법에 대한 대응방안 마련. 기업 정보보호의 방향 수립, 정보보호 교육방식 등 기업 보안 조직이나, 국가 CERT의 관심과 고민이 비슷하기 때문이다. 이런 생각은 호주 침해사고대응팀(이하:AusCERT)에 몸담고 있는 Robert Lowe와의 인터뷰에서 더욱 잘 알 수 있었다. AusCERT는 우리와 같은 고민을 어떻게 풀어가고 있는지 소개해 본다. Robert Lowe는 AusCERT의 침해사고 분석 전문가로 활동했으며, 현재는 AusCERT의 교육 및 컨퍼런스 책임자로 활동하고 있다.

• Proceedings of the Korea Environmental Mutagen Society Conference
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• 2002.11a
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• pp.122-130
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• 2002

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2005.04a
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• pp.80-80
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• 2005

• Korean Institute of Interior Design Journal
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• no.9
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• pp.30-37
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• 1996

The Modern architecture, generally represented as Functionalism, had brought the important problems of the absence of cultural meaning and of the public alienation. Robert Venturi is one of the major architects who suggested the new theory of Architecture. Postmodernism, for solving these problems . Therefore the purpose of this study is to analyze his design ideas and works especially for four residential projects : Vanna Venturi House, Guild House, Brant Johnson House and Brant House, His design ideas are Complexity and Contradition, Symbolism. Ornamentalism and Pluralithy of meaning . The various historical and traditional elements are refereed as symbolic and ornamental elements. The symbolic and cultural meaning of architecture through their images, memories, and associations concerning historical motifs help communicate with the public . Robert Venturi tries to pursuit Populism in architecture through historical allusion and pop art.

• Patent21
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• s.65
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• pp.23-28
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• 2006

본 보고서는 2005년 11월 3일 개최된 PATINEX(PATent INformation EXpo)에서 USPTO의 Mr. Robert Johnson이 발표한 자료인 "Patent Statistics of the U.S.Patent and Trademark Office"를 국문으로 재작성한 글입니다. <혁신기획팀 김민아 역>

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.495-496
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• 2005

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8371-8376
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• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.