Attitudes toward Konglish of South Korean teachers of English in the Province of Jeollanamdo /

This study examined the attitudes of South Korean teachers of English in Jeollanamdo toward Konglish, particularly in relation to English education. The literature search shows that Konglish is a typical local variety, evolved from the borrowing and redefining of English words that became part of everyday South Korean speech. Konglish is not unique in this regard. Japlish in Japan and Chinglish in China developed for similar reasons and display the distinctive characteristics of those languages. However, Konglish is usually defined as poor and incorrect. Teachers in the study expressed embarrassment, shyness, guilt, and anger about Konglish. On the other hand, they also valued it as something uniquely theirs. Teachers believed that students should not be taught that Konglish is bad English. However, students should be taught that it is poor or incorrect. With few exceptions, they correct Konglish in their classes. Teachers exhibited considerable inner conflict. They defined Konglish as valid when used in Korea with Koreans. However, some preferred that their students not use it, even with their friends. This may cause students to judge Konglish as unacceptable or inferior. The teachers believed that students should learn to distinguish between Konglish and "Standard English," and that they should learn about the contexts in which each is appropriate or preferred. The conclusion, therefore, is that South Korean teachers see the value of teaching about varieties of English. The recommendations are that intelligibility, broader communication skills, and information about International English be included in the curriculum in South Korea.

Metal music as critical dystopia : humans, technology and the future in 1990s science fiction metal

Metal Music as Critical Dystopia: Humans, Technology and the Future in 1990s Science Fiction Metal seeks to demonstrate that the dystopian elements in metal music are not merely or necessarily a sonic celebration of disaster. Rather, metal music's fascination with dystopian imagery is often critical in intent, borrowing themes and imagery from other literary and cinematic traditions in an effort to express a form of social commentary. The artists and musical works examined in this thesis maintain strong ties with the science fiction genre, in particular, and tum to science fiction conventions in order to examine the long-term implications of humanity's complex relationship with advanced technology. Situating metal's engagements with science fiction in relation to a broader practice of blending science fiction and popular music and to the technophobic tradition in writing and film, this thesis analyzes the works of two science fiction metal bands, VOlvod and Fear Factory, and provides close readings of four futuristic albums from the mid to late 1990s that address humanity's relationship with advanced technology in musical and visual imagery as well as lyrics. These recorded texts, described here as cyber metal for their preoccupation with technology in subject matter and in sound, represent prime examples of the critical dystopia in metal music. While these albums identify contemporary problems as the root bf devastation yet to come, their musical narratives leave room for the possibility of hope , allowing for the chance that dystopia is not our inevitable future.

Disease-Gene Association Using a Genetic Algorithm

Understanding the relationship between genetic diseases and the genes associated with them is an important problem regarding human health. The vast amount of data created from a large number of high-throughput experiments performed in the last few years has resulted in an unprecedented growth in computational methods to tackle the disease gene association problem. Nowadays, it is clear that a genetic disease is not a consequence of a defect in a single gene. Instead, the disease phenotype is a reflection of various genetic components interacting in a complex network. In fact, genetic diseases, like any other phenotype, occur as a result of various genes working in sync with each other in a single or several biological module(s). Using a genetic algorithm, our method tries to evolve communities containing the set of potential disease genes likely to be involved in a given genetic disease. Having a set of known disease genes, we first obtain a protein-protein interaction (PPI) network containing all the known disease genes. All the other genes inside the procured PPI network are then considered as candidate disease genes as they lie in the vicinity of the known disease genes in the network. Our method attempts to find communities of potential disease genes strongly working with one another and with the set of known disease genes. As a proof of concept, we tested our approach on 16 breast cancer genes and 15 Parkinson's Disease genes. We obtained comparable or better results than CIPHER, ENDEAVOUR and GPEC, three of the most reliable and frequently used disease-gene ranking frameworks.

Barnes Wines, Limited By-Law No. 83

The By-Law is titled "Respecting the borrowing of money by the Corporation".

Barnes Wines, Limited By-Law No. 85

The By-Law is titled "Being a By-Law authorizing borrowing and giving security".

Barnes Wines, Limited By-Law No. 93

The By-Law beings "being a by-law authorizing borrowing and pledging by the Company".

Barnes Wines, Limited By-Law No. 91

The summary states "a by-law respecting the borrowing of money, the issuing of securities and the securing of liabilities of Barnes Wines, Limited".