155 research outputs found

    Verb Raising and Case Checking: a Minimalist Approach

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    A study of perceived attributes of Asian foods : comparison of implicit and explicit attitude measures

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    Title from PDF of title page (University of Missouri--Columbia, viewed on June 14, 2010).The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.Thesis advisor: Dr. Dae-Young Kim.M.S. University of Missouri--Columbia 2010.The study tested the hypothesis that perceived food attributes (PFAs) and explicit/implicit measures of attitudes would differentially identify an individual's attitude in the domain of Asian food. In total, 39 college students (Caucasians) were recruited to complete a self-reported survey and implicit association test (IAT) simultaneously. With two selected real Asian foods (i.e.,Chinese food and Japanese food), the study shows that there are significant mean differences of PFAs between two Asian foods (i.e., Chinese food and Japanese food), and that significant mean differences are found in implicit attitudes towards two Asian foods, but not in explicit attitudes. In terms of correlations among salient factors used in this study, the results reveal that there are significantly positive correlations among PFAs, explicit attitudes, and food intentions. Furthermore, the results reveal the significant interaction effects between ethnic foods and PFAs on explicit attitude measures, but not on implicit attitude. The conclusions, implications and limitations are discussed.Includes bibliographical reference

    Do Fashion Trendsetting Groups Differ in Attitudes Toward Money and Tendency to Regret?

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    The purpose of this study was to examine differences among fashion trendsetting groups in money attitudes and tendency to regret

    Public Service Motivation (PSM) and Attitudes toward Purchasing Fashion Counterfeits

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    Counterfeits are reproductions that appear identical to legitimate products in appearance, including packaging, trademarks, and labeling (Ang et al, 2001). In 2007, trade in counterfeits was estimated to be more than US 600billionayear–5to7600 billion a year – 5 to 7% of world trade (Pollinger, 2008). The cost of counterfeiting to South Korea in the last five years is estimated at 60 billion (The Korea Times, 2010). Fashion products (clothing, shoes, watches, leather goods, and jewelry) are the most popular counterfeit products

    Tendency to Regret and Compulsive Buying Among Fashion Adoption Groups

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    The purpose of the study was to compare tendency to regret and compulsive buying tendencies among fashion adoption groups and by gender. Hypotheses were as follows: Fashion adoption groups will differ in (1) tendency to regret, and (2) compulsive buying. Women and men will differ in (3) tendency to regret, and (4) compulsive buying. (5) High (vs. low) scorers on compulsive buying will score higher on tendency to regret

    Face Consciousness, Gender, and Money Attitudes

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    The purpose of this study was to if money attitudes differ among consumers who differ in face consciousness and gender

    Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models

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    We propose a 3D generation pipeline that uses diffusion models to generate realistic human digital avatars. Due to the wide variety of human identities, poses, and stochastic details, the generation of 3D human meshes has been a challenging problem. To address this, we decompose the problem into 2D normal map generation and normal map-based 3D reconstruction. Specifically, we first simultaneously generate realistic normal maps for the front and backside of a clothed human, dubbed dual normal maps, using a pose-conditional diffusion model. For 3D reconstruction, we ``carve'' the prior SMPL-X mesh to a detailed 3D mesh according to the normal maps through mesh optimization. To further enhance the high-frequency details, we present a diffusion resampling scheme on both body and facial regions, thus encouraging the generation of realistic digital avatars. We also seamlessly incorporate a recent text-to-image diffusion model to support text-based human identity control. Our method, namely, Chupa, is capable of generating realistic 3D clothed humans with better perceptual quality and identity variety
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