6,216 research outputs found
Oversea direct buying in the apparel industry: A case of Korean Jicgoo
The purpose of this study was to review literature on Korean ODP and the US apparel industry. Specifically, the objectives of the review were as stated: (a) explore the current state of ODP practice in Korea, (b) examine antecedents to ODP market growth for the US retailers, and (c) analyze the roles the FTA plays on ODP, and (d) suggest future directions for research of ODP in the apparel industry
New media art: curating social justice in contemporary art museums and arts organizations
My research project includes case studies in which I interviewed nine new media art curators and directors whose curatorial practices offer historical analyses and theoretical perspectives that address the dynamics of social justice by using new media art. I investigate the ways in which social justice is presented in museums and arts organizations. Central to this project is an examination of museum practices where the use of new media art becomes a central platform to showcase issues of social justice
The lighting, computer, and human interface : a postoccupancy evaluation of the Durham Computation Center
Female bike riders’ clothing needs with the incorporation of wearable technology: Design and evaluation of wearers’ perception of smart clothing within the cradle-to-cradle design framework
The overall purpose of this study was to increase a general understanding of the mechanisms that determine how female bike riders’ clothing needs are met through the use of smart clothing, by empirically testing new smart clothing designs that incorporate wearable devices developed by the researcher within the cradle-to-cradle design framework. The specific objectives of this study were: (1) to identify important design criteria of bike wear for female bike riders under the frame of consumers’ functional-expressive-aesthetic needs along with their needs and desires for wearable technology; (2) to design and develop smart clothing for female bike riders in accordance with identified female bike riders’ expectations and needs within the cradle-to-cradle design framework; (3) to evaluate female bike riders’ perceived needs satisfaction and social acceptability of the proposed smart clothing by examining the relationships among perceived satisfaction of functional, expressive and aesthetic needs, and perceived social acceptability; and (4) to evaluate the marketability of proposed smart clothing by testing the hypothetical research model incorporating the following variables: perceived satisfaction of functional, expressive and aesthetic needs, perceived social acceptability, attitude, and purchase intention.
The findings of this study were based on data collected from two different online surveys (Study 1 and Study 2) as well as a proposed smart bike jacket that included transformable functions developed by this researcher and used for Study 2 survey. For this study, females in large cities worldwide were considered a key segment of the population for studying female bike riders’ clothing needs incorporating wearable technologies. Using a purposeful and convenience sampling approach, the Study 1 sample was recruited from females aged 18 years and over living in the U.S. with bike riding experience, and were members of the “Transportation Alternative,” a non-profit organization dedicated to bike riders in New York City; 136 usable responses were obtained and used for the data analysis. The Study 2 used a nation-wide convenience sampling approach that involved females aged 18 years and over living in the U.S. with bike riding experiences; 488 usable responses were obtained from the Amazon Mechanical Turk and used for the data analysis.
The instrumentation for the study incorporated two main online questionnaires, including both close-ended and open-ended questions, and proposed smart bike wear developed by the researcher. Based on female bike riders’ identified bike wear needs from Study 1 survey, the researcher incorporated appropriate design components into smart clothing design incorporating a wearable device for addressing survey participants’ special needs. The developed smart bike wear in this stage was used for Study 2 survey.
Two self-administered questionnaires for the Study 1 and Study 2 were developed using multiple-item measurements that were validated and determined as reliable from previous studies and open-ended questions. In Study 2 survey, the participants were expected to respond to each question after watching a short video clip demonstrating the features of the proposed smart clothing, as a tool of stimuli to measure perception of respondents toward the proposed smart clothing.
The Statistical Package for the Social Sciences (SPSS Version 21.0) software and AMOS Version 21.0 were employed to conduct statistical analyses and model testing. Demographic data were analyzed using descriptive statistics for both the 136 respondents for the Study 1 and the 488 respondents for the Study 2. An initial series of confirmatory factor analysis (CFA) was used to test validity and reliability of constructs in the measurement model for both the Study 1 and Study 2. In the Study 2, the structural equation model for theoretical predictors of purchase intention was tested. To analyze the data collected from open-ended questions, the researcher used a word clouds analysis, a popular content analysis method for text-based data.
The findings were:
1. The Study 1 identified 25 valid functional-expressive-aesthetic-price (FEAP) needs measurement items that were applicable for consideration when designing smart clothing from the perspective of female bike riders. Functional design characteristics, especially those contributing to comfort, protection, and ventilation, were the most important needs of respondents. Expressive and aesthetic design characteristics were also shown to be important needs to be considered when designing female bike riders’ clothing, but less important than functional needs.
2. Smart clothing that embedded multiple transformable features was favored by most respondents, and a jacket that could be changed into a bag was the most commonly desired transformable smart clothing feature. The findings from Study 1 survey guided this researcher to design a smart jacket transformable into a bag capable of storing detachable pieces, with essential design characteristics that incorporated identified consumers’ bike wear design needs. The processes of product design and development were guided by the frame of the cradle-to-cradle (C2C) design process which fully considered sustainability practices. A female bike riders’ transformable jacket incorporating a LED signal lighting device was developed in response to participants’ needs and desires that were identified in the Study 1.
3. The Study 2 identified 41 valid functional-expressive-aesthetics (FEA), social acceptability, attitude, and purchase intention related measurement items to examine respondents’ perceived satisfaction level for the proposed smart jacket. The proposed smart bike wear fulfilled the functional needs across all elements for smart bike wear. Especially, the results proved that ventilation features (e.g., mesh trimmed around armpits, detachable sleeves), as well as enhanced visibility (e.g., incorporated reflective trimming and a LED lighting device) of the proposed smart clothing satisfied consumers’ special smart clothing needs when bike riding. The proposed smart jacket also fulfilled the aesthetic and expressive needs of the respondents. Regarding social acceptance of the proposed smart clothing, most of the respondents said that what was presented in smart clothing was socially acceptable. A few responses suggested there were privacy concerns about wearable devices that use smart phone applications to collect data.
4. The hypothesized model consisted of six latent variables (functional design characteristics, expressive design characteristics, aesthetic design characteristics, social acceptability, attitudes, and purchase intention). The results of structural equation modeling (SEM) for the hypothesized model revealed a good model fit. All five structural paths in the model were statistically significant. As expected from hypothesis (H) 1, perceived satisfaction of functional design characteristics significantly and positively affected attitude; for H2, perceived satisfaction of expressive design characteristics significantly and positively affected attitude; for H3, perceived satisfaction of aesthetic design characteristics significantly and positively affected attitude; for H4, perceived social acceptability significantly and positively affected attitude; and for H5, attitude toward purchasing smart clothing significantly and positively affected purchasing intention. The statistical testing results confirm that the level of perceived satisfaction of functional, expressive, and aesthetic design characteristics as well as perceived social acceptability influences the creation of positive attitudes toward the use of smart clothing, leading to positive purchase intentions for smart clothing.
This research significantly contributes to the literature by providing insight into the inadequately researched area of smart clothing for female bike riders. It is the first study conducted that investigated female bike riders’ special needs and social acceptability of smart clothing under the C2C design framework. Its holistic approach to the analysis of data collected through various research stages (needs identification-smart clothing design-design evaluation) uncovered previously unidentified issues surrounding female bike riders’ smart clothing needs, revealing numerous areas where future research is needed, and providing vital information for both the apparel industry and academia.
Limitations of this study were presented, and implications and recommendations for future studies and for practice were also suggested
Projection pursuit methods for exploratory supervised classification
In high-dimensional data, one often seeks a few interesting low-dimensional projections which reveal important aspects of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index. Very few projection pursuit indices incorporate class or group information in the calculation, and hence can be adequately applied to supervised classification problems. We introduce new indices derived from linear discriminant analysis that can be used for exploratory supervised classification.;When we have the small number of observations relative to the number of variables, the class structure of optimal projection can be biased too much. In this situation, most of classical multivariate analysis methods also be problematic, too. We discuss how the sample size and dimensionality are related, and we propose a new projection pursuit index that considers the penalty for the projection coefficients and overcomes the small number of observation problem
The effect of geometrical configurations on flows in idealised and realistic vascular geometries
This thesis reports the use of computational fluid dynamics (CFD) to investigate geometrical effects on flows in idealised non-branching double curved geometries (Study A) and in realistic distal anastomoses where geometries have been determined in vivo using magnetic resonance imaging (Study B). The purpose of this research is to improve understanding of the effects of geometrical configurations, especially curvature and non-planarity, on steady flow in idealised non-branching double curved geometries typical of arteries such as the aortic arch, the right coronary artery or the femoral arteries and on pulsatile flow in realistic distal anastomosis geometries. It is explained that the further knowledge gained from these idealised geometries can be useful to understand flows in anatomically correct geometries in order to optimise the design of end-to-side bypass graft vessels in clinical surgery. In the Study A, three-dimensional computations of steady flows in planar and non-planar double bends with 8 = 0.25 (curvature ratio) at Reynolds numbers of 125 and 500 were performed using the Navier-Stokes solver called Nektar that is based on spectral/hp element methods. The numerical haemodynamics analysis is presented in terms of the various mechanical factors which primarily involve axial velocity, transverse flows, vorticity, coherent vertical structure and wall shear stress. From these results, we can anticipate the wall shear stress distributions and secondary flow patterns in various double bend geometries with different non-planarity at low Reynolds numbers. Non-planarity plays a significant role on the wall shear stress distribution and the mixing properties of flow in the double bends, both of which are believed to be important factors for the patency of bypass grafts. In the Study B, Three sets of MRI data from patients undergoing tunnelled or superficial femoral bypass surgery were processed to give input velocity waveforms and geometries. From the latter and using the same Navier Stokes solver, detailed patient-specific pulsatile haemodynamics were calculated. Wall shear stress and velocity are influenced by the anatomical geometry, and wall shear stress distributions in pulsatile flow are compared with those in steady flow. The correlation is discussed between the haemodynamics and the remodelling of the vessel following bypass surgery determined in follow-up studies carried out a few months or a few years later. The results suggest that better designs should be possible for bypass grafts and indicate how inflow conditions can affect the flow field. The findings imply that proper anastomotical configurations might, induce haemodynamics environments that may prevent cardiovascular disorders or delay the progression of vascular disease.Open acces
N 1,N 4-Bis(2-thienylmethylene)cyclohexane-1,4-diamine
The title compound, C16H18N2S2, lies about an inversion center with only half of the molecule in the asymmetric unit. The cyclohexane ring adopts a chair conformation, and the terminal thiophene rings are in a transoid orientation, with an S⋯S separation between the two terminal 2-thiophene rings of 11.6733 (9) Å
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