Consuming modernity: women, food and promotional culture in contemporary Korea

The process of modernisation has created tension and confusion in selfidentity in spite of its various new opportunities. This impact of modernity is more intense in a non-western society. Korea is experiencing a unique pattern of the dynamics and dilemmas modernity has presented. Korean women are experiencing clashes between modernity and tradition, capitalism and Confucianism, and Western and Korean cultural values. The gap created from these tensions is widely mediated by the logic of consumerism. This process is clearly revealed in women's values and attitudes towards food and eating. Although rapid economic development and social changes have considerably modified people's eating habits, women's roles and expectations in regard to food and eating are much more ambiguous and confusing than in the past. Korean advertising displays sharp contradictions of these aspects. While advertising reflects and actively reshapes the prevailing images of women, women constantly reconstitute their identities by selecting, rejecting and negotiating with the public messages in their everyday lives. This thesis aims to examine the changing female identities in contemporary Korea in the process of modernisation and Westernisation by exploring the tensions and contradictions in regard to women's values and attitudes towards food and eating, through the examination of the representations of Korean advertising and women's everyday experiences and negotiations

Creating a Tanned Body with or without a U.V Risk and its Implication to Behavioral Alternatives and Body Stigmatization

Commonly stigmatized behaviors such as tattooing or piercing, often associated with low socioeconomic groups, may be significantly higher among tanners who risk skin cancer. Therefore, it is conceptualized that appearance management behaviors differ among those who tan with UV exposure risk and those who tan without UV exposure risk. An accurate understanding of UV-induced tanning behavior in relation to other stigmatized behaviors will be an important tool in correcting the idealized images of tanners in our society. The goal of this study is to understand the relationship between college students\u27 engagement of tanning methods and risky appearance management behaviors, and to stigmatize unhealthy behaviors. It is interesting to note that while safer tanners are invested in their appearance, they are more concerned with the visibility of certain behavioral outcomes that connect with negative stereotypes

Influences of Parental Attachment and Life Satisfaction on Social Tanning Behaviors among College Students

The goal of this study is to assess the effect of parental attachment and life satisfaction on social tanning behaviors. Due to the perceived attractiveness of tanned skin, body-tanning behavior via outdoor and indoor tanning bed use is increasingly popular. The evidence supporting appearance-motive tanning indicates that indoor UV tanning is highly motivated by social influences (Hillhouse, Turrisi, Holwiski, & McVeigh, 1999). Previous studies have identified the significance of social tanning (i.e., tanning with others) in that people define the self-concept in terms of groups with whom individuals associate (Rubin, Bukowski, & Parker, 2007). An in-depth analysis of factors influencing social tanning behavior is critical for the development of effective, yet novel interventions designed to reduce harmful tanning behaviors. Therefore, the specific questions are addressed as follows: “What influences do parental attachment and life satisfaction have on college students’ social tanning behavior?

Propensity to Undergo Cosmetic Surgery and Risky Body Modification among Indoor Tanning Bed Users: An Illustration from Female College Students

The goal of this research is to identify the motivation to undergo cosmetic surgery and to engage in specific types of risky body-modification behaviors that counteract the well-being of frequent tanning bed users. Individuals who engage in indoor tanning bed use are more likely to engage in risky, yet voluntary, body modification such as plastic surgery and risky weight management behaviors. These findings are in line with the previous research that body shape and weight concerns have been associated with frequent indoor tanning, perhaps due to individuals\u27 belief that a tanned appearance makes one’s body shape appear more attractive. Presently, tanning and plastic surgery are perceived by many as body modification behaviors. Given their apparent increase and interconnection, identification of the characteristics of people who engage in tanning and other risky body modification is important to develop the comprehensive understanding of body-tanners

Reducing DNN labelling cost using surprise adequacy: An industrial case study for autonomous driving

Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object segmentation is one such task: its aim is to precisely locate boundaries of objects and classify the identified objects, helping autonomous cars to recognise the road environment and the traffic situation. Not only is this task safety critical, but developing a DNN based object segmentation module presents a set of challenges that are significantly different from traditional development of safety critical software. The development process in use consists of multiple iterations of data collection, labelling, training, and evaluation. Among these stages, training and evaluation are computation intensive while data collection and labelling are manual labour intensive. This paper shows how development of DNN based object segmentation can be improved by exploiting the correlation between Surprise Adequacy (SA) and model performance. The correlation allows us to predict model performance for inputs without manually labelling them. This, in turn, enables understanding of model performance, more guided data collection, and informed decisions about further training. In our industrial case study the technique allows cost savings of up to 50% with negligible evaluation inaccuracy. Furthermore, engineers can trade off cost savings versus the tolerable level of inaccuracy depending on different development phases and scenarios

Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object segmentation is one such task: its aim is to precisely locate boundaries of objects and classify the identified objects, helping autonomous cars to recognise the road environment and the traffic situation. Not only is this task safety critical, but developing a DNN based object segmentation module presents a set of challenges that are significantly different from traditional development of safety critical software. The development process in use consists of multiple iterations of data collection, labelling, training, and evaluation. Among these stages, training and evaluation are computation intensive while data collection and labelling are manual labour intensive. This paper shows how development of DNN based object segmentation can be improved by exploiting the correlation between Surprise Adequacy (SA) and model performance. The correlation allows us to predict model performance for inputs without manually labelling them. This, in turn, enables understanding of model performance, more guided data collection, and informed decisions about further training. In our industrial case study the technique allows cost savings of up to 50% with negligible evaluation inaccuracy. Furthermore, engineers can trade off cost savings versus the tolerable level of inaccuracy depending on different development phases and scenarios.Comment: to be published in Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineerin

Rate-dependent inhomogeneous-to-homogeneous transition of plastic flows during nanoindentation of bulk metallic glasses: Fact or artifact?

There has been considerable controversy over the "apparent" rate-dependent transition from inhomogeneous-to-homogeneous flow during nanoindentation of bulk metallic glasses (BMGs) at room temperature: whether it arises from the existence of homogeneous-flow regime in BMG deformation map or is an artifact due to the instrumental blurring at high rates. To provide a clue to address this dispute, the authors performed nanoindentation experiments on a Zr-based BMG with two geometrically self-similar indenters. The results are discussed in terms of the discrete plasticity ratio, which is a useful parameter in analyzing the contribution of inhomogeneous plasticity to the total plastic deformation.open232