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The results show that information bias plays a mediating role in the effect of social interactions on WTP. Additionally, the cadres/associations' and village-level interactions can effectively reduce the information bias of farmers, thereby increasing their WTP for transboundary basin ecosystem services. Moreover, the intensity of the psychological ownership of the watershed and government credibility have a significant moderating effect on the above-mentioned mechanisms. This study suggests that it is necessary to broaden

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Pattern recognition and feature extraction of images always have been important subjects in improving the performance of image classification and Content-Based Image Retrieval (CBIR). Recently, Machine Learning and Deep Learning algorithms are utilized widely in order to achieve these targets. In this research, an efficient method for image description is proposed which is developed by Machine Learning and Deep Learning algorithms. This method is created using combination of an improved AlexNet Convolutional Neural Network (CNN), Histo