936 research outputs found

    Intercultural Communication between Home Students and International Students

    Get PDF
    Research has consistently shown that international students have reported experiencing difficulties socializing with home students, feeling alienated and lonely, and wanting to have more local friends. A substantial body of research has studied international students’ intercultural communication experience with home students. However, since host society and social interaction with home nationals are important factors influencing international students’ acculturation, it is important to study intercultural communication from home students’s perspective. This literature review aims to discuss the limitations and gaps in intercultural communication literature and provide an overview of research pertaining to anxiety-uncertainty, ethnocentrism, intercultural communication competence, and intercultural contact

    East Asian International Students\u27 Interdependent Happiness: The Role of Acculturative Stress, Dialectical Thinking, and Collectivistic Coping

    Get PDF
    The purpose of this study was to understand the relationships among East Asian international students cultural construals of stress (i.e., acculturative stress), psychological wellbeing (i.e., interdependence happiness), cognitive appraisal (i.e., dialectical thinking), and coping skills (i.e., collectivistic coping: seeking social support and forbearance) using Chun, Moos, and Cronkite’s (2006) stress and coping model as the theoretical framework. This study was the first attempt to propose a theoretical framework elucidating the possible relationships among these variables through a cultural lens. A total of 313 self-identified East Asian international students participated in the online-based survey. Using a hierarchical regression, the results revealed that acculturative stress demonstrated the largest effect size among all the independent variables in explaining interdependent happiness among East Asian international students. Additionally, seeking social support as East Asian international students’ collectivistic coping style was found to be a positive contributor; whereas, dialectical thinking contributed negatively to interdependent happiness among East Asian international students. Finally, the higher levels of dialectical thinking, the stronger the negative association was between acculturative stress and interdependent happiness among East Asian international students. Limitations of the study and suggestions for future research are presented. Implications for counseling psychology practice with East Asian international students are also discussed

    Remarks on Solving Methods of Nonlinear Equations

    Get PDF
    Abstract: In the field of mechanical engineering, many practical problems can be converted into nonlinear problems, such as the meshing problem of mechanical transmission. So the solution of nonlinear equations has important theoretical research and practical application significance. Whether the traditional Newton iteration method or the intelligent optimization algorithm after the popularization of computers, both them have been greatly enriched and developed through the continuous in-depth research of scholars at home and abroad, and a series of improved algorithms have emerged. This paper mainly reviews the research status of solving nonlinear equations from two aspects of traditional iterative method and intelligent optimization algorithm, systematically reviews the research achievements of domestic and foreign scholars, and puts forward prospects for future research directions

    Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features

    Full text link
    TThe goal of our work is to discover dominant objects in a very general setting where only a single unlabeled image is given. This is far more challenge than typical co-localization or weakly-supervised localization tasks. To tackle this problem, we propose a simple but effective pattern mining-based method, called Object Location Mining (OLM), which exploits the advantages of data mining and feature representation of pre-trained convolutional neural networks (CNNs). Specifically, we first convert the feature maps from a pre-trained CNN model into a set of transactions, and then discovers frequent patterns from transaction database through pattern mining techniques. We observe that those discovered patterns, i.e., co-occurrence highlighted regions, typically hold appearance and spatial consistency. Motivated by this observation, we can easily discover and localize possible objects by merging relevant meaningful patterns. Extensive experiments on a variety of benchmarks demonstrate that OLM achieves competitive localization performance compared with the state-of-the-art methods. We also evaluate our approach compared with unsupervised saliency detection methods and achieves competitive results on seven benchmark datasets. Moreover, we conduct experiments on fine-grained classification to show that our proposed method can locate the entire object and parts accurately, which can benefit to improving the classification results significantly
    • …
    corecore