• Journal of Fashion Business
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• v.14 no.5
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• pp.112-127
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• 2010

Primitivism is a concept that expresses and organizes natural feelings of human beings which is hard to be identified by a rigid definition. It means "staying in the beginning or the initial state, not evolving or developing, and not affected by human beings from the intact natural state". Based on this meaning, the artistic style features inherent natural beauties, as well as plain and inornate design. These features have been reflected in a variety of art pieces. The aesthetic features shown in the primitivism art pieces can be categorized into four different aspects: naturalness, folksiness, sentimentality, and humorousness. These features, influencing modern fashion, have been reinvented by a number of fashion designers. They also adopted ideas from the fancy clothes and ornaments created in carefree life style of the regions retaining their primitive cultures, such as Africa, Oceania, and Pacific coasts, and applied those ideas to various silhouette, colors, patterns, and textiles. Particularly as for textile expressions, they tried printing techniques using the patterns motivated from primitive folk symbols or the nature, applied objet of primitive materials and elaborated ornaments that represent folk and primitive feelings, and employed the primitive techniques such as knotting, crude cutting, or natural draping, to reinvent them as textile expressions in modern fashion.

• Journal of Fashion Business
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• v.21 no.3
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• pp.43-57
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• 2017

This study concerns visual humor in fake technique fashion. While previous studies focused mainly on expression techniques of fake technique fashion, this study analyzed visual humor in fake technique fashion based on classification criteria of visual humor expression techniques, differenting this study from other studies. The purpose of this study was to derive visual humor in fake technique fashion by classifying cases of fake technique fashion, and re-classifying outcomes of primary classification based on criteria of visual humor expression techniques. As for methods, this theoretical study was conducted on humor, expression techniques of visual humor, fake fashion and fake expression techniques through literature review. Subsequently, 485 fake technique fashion images obtained from research were classified by expression techniques, and cases of fake technique fashion were analyzed. In addition, by combining this theoretical study with case studies, fake technique fashion was re-classified according to criteria of visual humor expression techniques to derive the characteristics of visual humor in fake technique fashion. Based on visual humor expression techniques, visual humor in fake technique fashion was created by distortion and transformation that made the fake look real by distorting or transforming the fake, enlargement and reduction that created new forms by altering familiar forms, and typeplay that added fun by changing familiar luxury logos into various forms.

• Journal of the Korean Society of Costume
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• v.61 no.4
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• pp.24-37
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• 2011

This study aims to figure out any possible expanded expression methods and diverse formative effects in fashion design by recognizing the importance of objects that suggest new paradigms as a means of expressing aesthetic consciousness in contemporary fashion and analogizing the formative characteristics of objects used in fashion and their significance. Accordingly, the study focuses on analyzing and interpreting objects introduced to fashion design with a formative view by substituting the concept of an object that has taken an important position in the contemporary arts for fashion. This study further aims to examine the concept of objects by trend and their characteristics within a syntactical structure and come up with a standard for classification of objects and a framework of analysis from cubism in the early 20th century when the concept of an object began to appear in arts to Dadaism, Surrealism, Pop art, Land art, Environmental art and the present time. Finally, the study aims to examine the status of objects in fashion and the relationships between fashion and objects through analyses on fashion objects and to suggest new perspectives and approaches to interpret the contemporary fashion in the 21st century.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9367-9373
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• 2014

In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are requentlyused lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.