• 제목/요약/키워드: Methods of Expression

검색결과 6,555건 처리시간 0.035초

Statistical bioinformatics for gene expression data

  • Lee, Jae-K.
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2001년도 제2회 생물정보학 국제심포지엄
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    • pp.103-127
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    • 2001
  • Gene expression studies require statistical experimental designs and validation before laboratory confirmation. Various clustering approaches, such as hierarchical, Kmeans, SOM are commonly used for unsupervised learning in gene expression data. Several classification methods, such as gene voting, SVM, or discriminant analysis are used for supervised lerning, where well-defined response classification is possible. Estimating gene-condition interaction effects require advanced, computationally-intensive statistical approaches.

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시각자극에 의한 피로도의 객관적 측정을 위한 연구 조사 (A Survey of Objective Measurement of Fatigue Caused by Visual Stimuli)

  • 김영주;이의철;황민철;박강령
    • 대한인간공학회지
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    • 제30권1호
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    • pp.195-202
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    • 2011
  • Objective: The aim of this study is to investigate and review the previous researches about objective measuring fatigue caused by visual stimuli. Also, we analyze possibility of alternative visual fatigue measurement methods using facial expression recognition and gesture recognition. Background: In most previous researches, visual fatigue is commonly measured by survey or interview based subjective method. However, the subjective evaluation methods can be affected by individual feeling's variation or other kinds of stimuli. To solve these problems, signal and image processing based visual fatigue measurement methods have been widely researched. Method: To analyze the signal and image processing based methods, we categorized previous works into three groups such as bio-signal, brainwave, and eye image based methods. Also, the possibility of adopting facial expression or gesture recognition to measure visual fatigue is analyzed. Results: Bio-signal and brainwave based methods have problems because they can be degraded by not only visual stimuli but also the other kinds of external stimuli caused by other sense organs. In eye image based methods, using only single feature such as blink frequency or pupil size also has problem because the single feature can be easily degraded by other kinds of emotions. Conclusion: Multi-modal measurement method is required by fusing several features which are extracted from the bio-signal and image. Also, alternative method using facial expression or gesture recognition can be considered. Application: The objective visual fatigue measurement method can be applied into the fields of quantitative and comparative measurement of visual fatigue of next generation display devices in terms of human factor.

Reliability Expression for Complex System

  • Seong Cheol Lee
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.125-133
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    • 1996
  • In this paper, we present a algebraic technique for computing system reliability for complex system. The method was originally developed as an aid to fault tree analysis but it applies to general problems of reliability assessment. A success expression which directly gives the reliability expression is formed and simplified by the procedure. Several algorithms and examples are illustrated.

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Analysis of Indoleamine 2-3 Dioxygenase (IDO) and EGFR Co-expression in Breast Cancer Tissue by Immunohistochemistry

  • Bi, Wei-Wei;Zhang, Wei-Hua;Yin, Gui-Hua;Luo, Hong;Wang, Shou-Qin;Wang, Hongran;Li, Chao;Yan, Wei-Qun;Nie, De-Zhi
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권14호
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    • pp.5535-5538
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    • 2014
  • Background: To determine the amount of co-expression of IDO and EGFR in breast cancer patients. Materials and Methods:In order to obtain the distribution of co-expression of IDO and EGFR in breast cancer, we tested 110 breast cancer paraffin tissue blocks with immunohistochemical methods. Then we investigated the relationship between the diagnostic and pathologic characteristics (tumor size, lymph node status, histologic grade, the gene expression of ER, PR, HER2, p53, Ki67 and PCNA) with the situation of co-expression of IDO and EGFR by reviewing the medical records of 32 breast cancer patients. Results: Among 110 breast cancers, 32 cases demonstrated IDO and EGFR co-expression (29.1%), IDO and EGFR synchronous co-expression being found in 19.1% and asynchronous in 10.0%. Conclusions: IDO and EGFR were co-expressed in breast cancer, including synchronous and asynchronous co-expression. The results suggest that considering IDO and EGFR as two indicators for breast cancer treatment or prognosis analysis provides a potential option of individual treatment for the portion of breast cancer patients with co-expression of IDO and EGFR.

디지털콘텐츠를 위한 플루이드 아이덴티티 연구 (A Study on Fluid Identity in Digital Contents)

  • 김학민
    • 디지털산업정보학회논문지
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    • 제9권4호
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    • pp.201-212
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    • 2013
  • The purpose of this study are to show a new possibility of identity design to be used as tools of users identity expression, designing digital contents by studying on the methods to express users identities successfully in the digital contents design, and to present the possibility to expand the area of identity design. Digital contents are a communication media in it self, but this study tried to consider the digital contents as a tool of users communication or expression. The identity expression, which are not only makes communications efficient but also lets products and companies acknowledged by users, is one of the most indispensable factors in products competitive power in both the present and the future. However, no define methods of identity expression are settled as well as recognized by users properly and accurately yet, so that this study focuses on that point. Therefore, This study is advanced in the direction of establishing the concept of digital identity for an expansion of the media toward the identity expression in design as well as making researchers in successful identity expression ways by means of actual design, more than a graphic image making that simply decorates a digital contents. The point of this study is to show a new concept of identity design that expresses users identities so as to suggest another possibility of identity design.

Facial Expression Explorer for Realistic Character Animation

  • Ko, Hee-Dong;Park, Moon-Ho
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1998년도 Proceedings of International Workshop on Advanced Image Technology
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    • pp.16.1-164
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    • 1998
  • This paper describes Facial Expression Explorer to search for the components of a facial expression and to map the expression to other expressionless figures like a robot, frog, teapot, rabbit and others. In general, it is a time-consuming and laborious job to create a facial expression manually, especially when the facial expression must personify a well-known public figure or an actor. In order to extract a blending ratio from facial images automatically, the Facial Expression Explorer uses Networked Genetic Algorithm(NGA) which is a fast method for the convergence by GA. The blending ratio is often used to create facial expressions through shape blending methods by animators. With the Facial Expression Explorer a realistic facial expression can be modeled more efficiently.

갑상선 결절에서 Sodium Iodide Symporter (NIS)의 발현: RT-PCR방법과 면역조직화학염색법의 비교 (Expression of Sodium-Iodide Symporter (NIS) in Thyroid Nodules: Comparison of RT-PCR and Immunohistochemical Staining Methods)

  • 배상균;이강대;장희경
    • 대한핵의학회지
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    • 제38권6호
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    • pp.511-515
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    • 2004
  • 목적: 갑상선세포에서 요오드의 섭취는 갑상선호르몬 합성의 첫 단계이며, sodium iodide symporter (NIS)라는 세포막 단백질에 의해 이루어지는 것으로 알려져 있고 NIS 유전자가 클로닝됨으로써 NIS 발현을 직접 관찰하는 것이 가능해졌다. 하지만, 갑상선암을 비롯한 갑상선 결절과 정상 조직에서의 NIS 발현은 검사방법과 대상에 따라 아주 다양한 결과를 보이고 있다. 따라서 이 연구에서는 갑상선암을 비롯한 여러 갑상선질환에서 NIS의 발현여부와 정도를 두 가지 서로 다른 RT-PCR방법과 면역조직화학염색법으로 조사하여 비교하였다. 대상 및 방법: 갑상선절제술을 받은 32명의 조직을 이용하였다. 술후 병리학적 진단은 유두암 19명, 여포암 1명, 수질암 1명, 선종 4명, 선종양 갑상선종 7명이었다. RT-PCR방법을 이용하여 갑상선글로불린, NIS, 갑상선과산화효소의 발현을 관찰하였고, 항NIS 항체를 이용하여 면역조직화학염색을 시행하여 NIS 발현 정도를 반정량적으로 평가하고, 그 결과를 각각 비교하였다. 결과: RT-PCR의 결과에서 유두암 19명중 10예에서 NIS의 발현이 있었다. 여포암 1예와 수질암 1예는 NIS 발현이 없었다. 선종 4명중 2예, 선종양 갑상선종 7명중 4예에서 NIS의 발현이 있었다. 면역조직화학염색법으로는 유두암 19명중 15예에서 발현이 있었고, 여포암 1예는 발현이 없었다. 선종 4예중 3예, 선종양 갑상선종 7예중 6예에서 발현이 있었다. RT-PCR방법에 의한 NIS의 발현 정도와 면역조직화학염색의 정도를 반정량적으로 평가하여 비교한 결과 각 검사의 결과 사이에 유의한 양의 상관관계가 있었다(p<0.001). 결론: RT-PCR방법과 면역조직화학염색법으로 조사한 NIS의 발현 정도는 양의 상관관계가 있었으나, RT-PCR방법에 비해 면역조직화학염색법으로 NIS발현을 더 많이 찾을 수 있었다.

Prognostic Significance of Sirtuins Expression in Papillary Thyroid Carcinoma

  • Kang, Yea Eun;Shong, Minho;Kim, Jin Man;Koo, Bon Seok
    • International journal of thyroidology
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    • 제11권2호
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    • pp.143-151
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    • 2018
  • Background and Objectives: Sirtuins (SIRTs) play important roles in cellular and organismal homeostasis. They have distinct gene expression patterns in various cancers; however, the relationship between SIRT expression and the progression of thyroid cancer is unclear. We investigated the expression of SIRTs in patients with papillary thyroid carcinoma (PTC) and their role as biomarkers for predicting the aggressiveness of this disease. Materials and Methods: We used immunohistochemical staining to evaluate the expression of SIRT1 and SIRT3 in tumor specimens from 270 patients with PTC. We also evaluated the potential association between SIRT expression and diverse clinicopathological features. Results: High SIRT1 expression was negatively correlated with lymphovascular invasion, central lymph node metastasis, and lateral lymph node metastasis. Multivariate analyses revealed that high SIRT1 expression was a negative independent risk factor for lateral lymph node metastasis. By contrast, high SIRT3 expression was positively correlated with locoregional recurrence. Interestingly, when patients were grouped by tumor SIRT expression patterns, the group with low SIRT1 expression and high SIRT3 expression was correlated with more aggressive cancer phenotypes including central lymph node metastasis and lateral lymph node metastasis. Conclusion: Our results suggest that SIRTs play dual roles in tumor progression, and the combination of decreased SIRT1 expression and increased SIRT3 expression is significantly associated with a poor prognosis in patients with PTC.

현대 패션에 나타난 신체장식 표현의 미적 가치에 관한 연구 (A Study on the Aesthetic Value Featured in the Body Decoration in Contemporary Fashion)

  • 이정혜;김순자
    • 복식문화연구
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    • 제12권5호
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    • pp.721-736
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    • 2004
  • The aim of this study is to clarify aesthetic values and sociocultural meanings that reappears in contemporary fashion. In order to analyze aesthetic values and symbolic meanings of body decoration, I examined the concepts and expression methods of the body decoration. Also, analyzed external characteristics of expression and its internal meanings that applied in modern fashion. The expressions of body decoration represented in contemporary fashion are classified into direct and indirect methods. The direct method is expressed by tattoos, piercing, henna, make-up and body painting. And, indirect method is expressed by see-through look, body-conscious look and accessories that were utilized its patterns and the material adaptation methods. Such expression of body decoration in the modern fashion was represented into grotesque images and erotic images. The characteristics of grotesque images are abnormal state, hateful animal image and distorted or transformed body and the internal meanings are the pursuit of primitive, exoticism, the pursuit of playfulness, and resistance. The characteristics of erotic images are an exposure of body, see through, body-conscious and androgynous look and the internal meanings are the self-intoxication, naturalism and sexual pleasure.

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A Review of Facial Expression Recognition Issues, Challenges, and Future Research Direction

  • Yan, Bowen;Azween, Abdullah;Lorita, Angeline;S.H., Kok
    • International Journal of Computer Science & Network Security
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    • 제23권1호
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    • pp.125-139
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    • 2023
  • Facial expression recognition, a topical problem in the field of computer vision and pattern recognition, is a direct means of recognizing human emotions and behaviors. This paper first summarizes the datasets commonly used for expression recognition and their associated characteristics and presents traditional machine learning algorithms and their benefits and drawbacks from three key techniques of face expression; image pre-processing, feature extraction, and expression classification. Deep learning-oriented expression recognition methods and various algorithmic framework performances are also analyzed and compared. Finally, the current barriers to facial expression recognition and potential developments are highlighted.