847 research outputs found

    Social Media Usage, Self-efficacy and Cultural Intelligence: A Longitudinal Empirical Research in China

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    Social media have become ubiquitous in our lives. To meet with the calls to examine social media usage in cross-cultural contexts, the study conducted a longitudinal survey to explore bilateral relationships between social media usage, self-efficacy and cultural intelligence. Based on Social Cognitive Theory, findings indicate that both informational and socializing usage of social media increase individual’s self-efficacy whereby individual cultural intelligence is developed. In addition, cultural intelligence effectively enhances increasing of individual’s self-efficacy. Implications and limitations are further discussed

    Quantifying Discourse Support for Omitted Pronouns

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    Pro-drop is commonly seen in many languages, but its discourse motivations have not been well characterized. Inspired by the topic chain theory in Chinese, this study shows how character-verb usage continuity distinguishes dropped pronouns from overt references to story characters. We model the choice to drop vs. not drop as a function of character-verb continuity. The results show that omitted subjects have higher character history-current verb continuity salience than non-omitted subjects. This is consistent with the idea that discourse coherence with a particular topic, such as a story character, indeed facilitates the omission of pronouns in languages and contexts where they are optional.Comment: to be published in Proceedings of the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference, 202

    Evaluation of Berberine’s Algicidal Effects on Toxic Microcystis aeruginosa Growth using a Double Fluorescein Staining Method

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    An accurate and convenient method for determining Microcystis cell viability is necessary to control blooms in small aquaculture water bodies. The fluorescein diacetate-propidium iodide (FDA-PI) staining method was developed to determine the viability of toxic Microcystis aeruginosa (FACHB905). Live M. aeruginosa 905 cells, stained with FDA, emitted bright green fluorescence after excitation at 470 nm. Dead cells, stained with PI, produced bright red fluorescence after excitation at 540 nm. Berberine inhibited M. aeruginosas 905 growth and the inhibition rate determined by FDA-PI fluorescein staining and counting on a dark field was much higher than when determined by counting on a bright field because some berberine-killed cells were misidentified as live cells. Thus, less berberine is needed to control Microcystis bloom when the accurate and reliable FDA-PI fluorescein staining method is used to judge the viability of the algae cells

    Fault diagnosis of rolling bearing based on relevance vector machine and kernel principal component analysis

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    In order to improve the speed and accuracy of rolling bearing fault diagnosis on small samples, a method based on relevance vector machine (RVM) and Kernel Principle Component Analysis (KPCA) is proposed. Firstly, the wavelet packet energy of the vibration signal is extracted with the wavelet packet transform, which is used as fault feature vectors. Secondly, the dimension of feature vectors is reduced in order to weaken the correlation between the features. The important principal components are selected using KPCA as the new feature vectors under the criterion that the cumulative variance is greater than 95 %. Finally, the faults of rolling bearing are diagnosed through combining KPCA with RVM. Simulation experimental indicates the advantages of the presented method. Moreover, the proposed approach is applied to diagnoses rolling bearing fault. The results show that wavelet packet energy can express rolling bearing fault features accurately, KPCA can reduce the dimension of feature vectors effectively and the proposed method has better performance in the speed of fault diagnosis than the method based on support vector machine (SVM), which supplies a strategy of fault diagnosis for rolling bearing. In this paper, the performance of the proposed method is also compared with other diagnostic methods

    The Comparative Study of Entrepreneurship Education Collaborative Model in United States, Britain, Japan and India

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    The process of entrepreneurship education is complex and its connotation is rich. The characteristics of entrepreneurial education determines the entrepreneurship education must be a process of collaborative education of multiple education body. The practice of foreign entrepreneurship education provides a sufficient proof that high degree of collaborative can promote entrepreneurship education better. Based on the theory of collaborative education, this paper constructs the collaborative model of entrepreneurship education, selected and analysis the different collaborative education model the United States, Britain, Japan, India. Keywords: Entrepreneurship education; collaborative model; comparative stud

    Parallel navigation for 3-D autonomous vehicles

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    summary:In this paper, parallel navigation is proposed to track the target in three-dimensional space. Firstly, the polar kinematics models for the vehicle and the target are established. Secondly, parallel navigation is derived by using polar kinematics models. Thirdly, cell decomposition method is applied to implement obstacle avoidance. Fourthly, a brief study is given on the influence of uncertainties. Finally, simulations are conducted by MATLAB. Simulation results demonstrate the effectiveness of the parallel navigation
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