The CrackNet, an efficient architecture based on the Convolutional Neural Network (CNN), is proposed in this article for automated pavement crack detection on 3D asphalt surfaces with explicit objective of pixel‐perfect accuracy. Unlike the commonly used CNN, CrackNet does not have any pooling layers which downsize the outputs of previous layers. CrackNet fundamentally ensures pixel‐perfect accuracy using the newly developed technique of invariant image width and height through all layers. CrackNet consists of five layers and includes more than one million parameters that are trained in the learning process. The input data of the CrackNet are feature maps generated by the feature extractor using the proposed line filters with various orientations, widths, and lengths. The output of CrackNet is the set of predicted class scores for all pixels. The hidden layers of CrackNet are convolutional layers and fully connected layers. CrackNet is trained with 1,800 3D pavement images and is then demonstrated to be successful in detecting cracks under various conditions using another set of 200 3D pavement images. The experiment using the 200 testing 3D images showed that CrackNet can achieve high Precision (90.13%), Recall (87.63%) and F‐measure (88.86%) simultaneously. Compared with recently developed crack detection methods based on traditional machine learning and imaging algorithms, the CrackNet significantly outperforms the traditional approaches in terms of F‐measure. Using parallel computing techniques, CrackNet is programmed to be efficiently used in conjunction with the data collection software.
North American research has consistently reported higher social anxiety among people of Asian heritage compared to people of Western heritage. The present study used a cross-national sample of 692 university students to explore explanatory hypotheses using planned contrasts of group differences in social anxiety and related variables. The East Asian socialization hypothesis proposed social anxiety would show a linear relation corresponding to the degree of exposure to East Asian cultural norms. This hypothesis was not supported. The cultural discrepancy hypothesis examined whether bicultural East Asian participants (residing in Canada) would endorse higher social anxiety in comparison to unicultural participants (Western-heritage Canadians and native Koreans and Chinese). Compared to unicultural participants, bicultural East Asian participants reported higher social anxiety and depression, a relation that was partially mediated by bicultural participants' reports of lower self-efficacy about initiating social relationships and lower perceived social status. Overall, the results suggest higher reports of social anxiety among bicultural East Asians may be conceptualized within the context of cultural discrepancy with the mainstream culture.
"Chinese somatization" has been frequently discussed over the past three decades of cultural psychiatry, and has more recently been demonstrated in cross-national comparisons. Empirical studies of potential explanations are lacking, however. Ryder and Chentsova-Dutton (2012) proposed that Chinese somatization can be understood as a cultural script for depression, noting that the literature is divided on whether this script primarily involves felt bodily experience or a stigma-avoiding communication strategy. Two samples from Hunan province, China-one of undergraduate students (n = 213) and one of depressed psychiatric outpatients (n = 281)-completed the same set of self-report questionnaires, including a somatization questionnaire developed in Chinese. Confirmatory factor analysis demonstrated that Chinese somatization could be understood as two correlated factors: one focusing on the experience and expression of distress, the other on its conceptualization and communication. Structural equation modeling demonstrated that traditional Chinese cultural values are associated with both of these factors, but only bodily experience is associated with somatic depressive symptoms. This study takes a first step towards directly evaluating explanations for Chinese somatization, pointing the way to future multimethod investigations of this cultural script.
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