Understanding Chinese International Undergraduate Students’ Experiences at the University of Missouri - St. Louis

This study examines the challenges and stressors Chinese international undergraduate students face while attending the University of Missouri - St. Louis (UMSL) in relation to their study abroad experience. Surveys were initially used to gather information and to gauge students’ familiarity and use of university support services available to help with specific challenges and stressors. Follow-up interviews were conducted to collect additional in-depth data. As consistent with the literature review, the study found that UMSL students confronted language barriers, academic challenges, and cultural differences when transitioning to UMSL’s academic culture and social environment. Additionally, financial stresses were exacerbated by issues related to filial piety and U.S. policy requirements for international students. This dissertation offers background information on the contexts of UMSL’s Chinese international undergraduates, in order to help the host institution better recruit and retain its Chinese international student population

Wuthering Heights and the Sprout of Feminism

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3D Face Synthesis Driven by Personality Impression

Synthesizing 3D faces that give certain personality impressions is commonly needed in computer games, animations, and virtual world applications for producing realistic virtual characters. In this paper, we propose a novel approach to synthesize 3D faces based on personality impression for creating virtual characters. Our approach consists of two major steps. In the first step, we train classifiers using deep convolutional neural networks on a dataset of images with personality impression annotations, which are capable of predicting the personality impression of a face. In the second step, given a 3D face and a desired personality impression type as user inputs, our approach optimizes the facial details against the trained classifiers, so as to synthesize a face which gives the desired personality impression. We demonstrate our approach for synthesizing 3D faces giving desired personality impressions on a variety of 3D face models. Perceptual studies show that the perceived personality impressions of the synthesized faces agree with the target personality impressions specified for synthesizing the faces. Please refer to the supplementary materials for all results.Comment: 8pages;6 figure