This paper evaluates a theoretical model based on hypothesized relationships among four constructs, namely, autobiographical memory, and place attachment as antecedents of revisit intention and recommendation intention in the context of rural tourism in China. The results of 301 Chinese tourists show that the two dimensions of tourists’ autobiographical memory affect the tourists’ intention to revisit and recommend. Place attachment plays an intermediary role among tourists’ autobiographical memory, revisit intention, and recommendation intention. This study is the first to apply the (...) structural dimension of autobiographical memory has been applied to rural tourism in China. Theoretical and managerial implications are discussed based on the study results. (shrink)

Subthreshold Attention-Deficit/Hyperactivity Disorder is defined as a neurobiological condition with some core inattentive or hyperactive/impulsive symptoms of ADHD which do not meet the full diagnosis clinically. Although it has been well documented that deficits in cognitive control, a high-level cognitive construct closely related to attention, are frequently found among children with ADHD, whether subthreshold ADHD is also associated with similar deficits remains unclear. In this study, we examined the attention functions and the cognitive control capacity in children with ADHD, those (...) with subthreshold ADHD, and typically developing peers. The results showed that the ADHD and subthreshold ADHD groups exhibited similar patterns of the impaired executive function of attention and reduced cognitive control capacity, and no significant difference was found between the two groups. These findings suggest that although children with subthreshold ADHD have not met the full criteria of ADHD, they showed reduced efficiency in cognitive control and attention function, similar to children with ADHD. (shrink)

Mass media has a significant impact on public support for the government. This manuscript constructs a mixed model with official media use as the moderating variable and government trust as the intermediary variable to explore the mechanism of how unofficial media use affects system confidence, using data from a survey of the political and social attitudes of netizens. The study finds that official media use weakens the negative role of unofficial media use in building system confidence, with the intermediary variable (...) of government trust creating the necessary conditions for weakening the effect of unofficial media use. Moreover, the effect of unofficial media use on system confidence is heterogeneous. These findings remind us that it is necessary to deepen research into the micromechanisms that explain how unofficial media use reduces system confidence, a task for which cognitive theory is well suited. (shrink)

In recent years, while extensive researches on various networks properties have been proposed and accomplished, little has been proposed and done on network robustness and node vulnerability assessment under cascades in directed large-scale online community networks. In essential, an online directed social network is a group-centered and information spread-dominated online platform which is very different from the traditional undirected social network. Some further research studies have indicated that the online social network has high robustness to random removals of nodes but (...) fails to the intentional attacks, particularly to those attacks based on node betweenness or node directed coefficient. To explore on the robustness of directed social network, in this article, we have proposed two novel node centralities of ITG and I M p v. These two new centrality models are designed to capture this cascading effect in directed online social networks. Furthermore, we also propose a new and highly efficient computing method based on iterations for I M p v. Then, with the abundant experiments on the synthetic signed network and real-life networks derived from directed online social media and directed human mobile phone calling network, it has been proved that our ITG and I M p v based on directed social network robustness and node vulnerability assessment method is more accurate, efficient, and faster than several traditional centrality methods such as degree and betweenness. And we also have proposed the solid reasoning and proof process of iteration times k in computation of I M p v. To the best knowledge of us, our research has drawn some new light on the leading edge of robustness on the directed social network. (shrink)

In the recent years, gesture recognition based on the surface electromyography (sEMG) signals has been extensively studied. However, the accuracy and stability of gesture recognition through traditional machine learning algorithms are still insufficient to some actual application scenarios. To enhance this situation, this paper proposed a method combining feature selection and ensemble extreme learning machine (EELM) to improve the recognition performance based on sEMG signals. First, the input sEMG signals are preprocessed and 16 features are then extracted from each channel. (...) Next, features that mostly contribute to the gesture recognition are selected from the extracted features using the recursive feature elimination (RFE) algorithm. Then, several independent ELM base classifiers are established using the selected features. Finally, the recognition results are determined by integrating the results obtained by ELM base classifiers using the majority voting method. The Ninapro DB5 dataset containing 52 different hand movements captured from 10 able-bodied subjects was used to evaluate the performance of the proposed method. The results showed that the proposed method could perform the best (overall average accuracy 77.9%) compared with decision tree (DT), ELM, and random forest (RF) methods. (shrink)