Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss

In the past decade, exemplar-based texture synthesis algorithms have seen strong gains in performance by matching statistics of deep convolutional neural networks. However, these algorithms require regularization terms or user-added spatial tags to capture long range constraints in images. Having access to a user-added spatial tag for all situations is not always feasible, and regularization terms can be difficult to tune. It would be ideal to create an algorithm that does not have any of the aforementioned drawbacks. Thus, we propose a new set of statistics for exemplar based texture synthesis based on Sliced Wasserstein Loss and create a multi-scale algorithm to synthesize textures without a user-added spatial tag. Lastly, we study the ability of our proposed algorithm to capture long range constraints in images and compare our results to other exemplar-based neural texture synthesis algorithms.Comment: Submitted to IEEE for possible publicatio

Prediction and Realization of DO in Sewage Treatment Based on Machine Vision and BP Neural Network

Dissolved Oxygen (DO) is one of the most important parameters describing biochemical process in wastewater treatment. It is usually measured with dissolved oxygen meters, and currently galvanic and polarographic electrodes are the predominant methods. Expensive, membrane surface inactivation, and especially need of cleaning and calibrating very frequently are common disadvantages of electrode-type measuring sensors. In our work, a novel method for Prediction and Realization dissolved oxygen based-on Machine Vision and BP Neural Network was researched. Pictures of the water-body surface in aeration basins are captured and transformed into HSI space data. These data plus the correspondent measured DO values are processed with a neural network. Using the well-trained neural network, a satisfied result for classifying dissolved oxygen according to the water-body pictures has been realized

Cultivation of Core Competences of English Major Students under the Inter-discinplinary Guidance A Case Study of “The Survey of British and American Culture” Course

The newly issued National Standards by the Ministry of National Education for the Quality of Foreign Language and Literature Teaching (hereinafter referred to as the “National Standards”) clearly points out that the curriculum system of foreign language majors should emphasize the cultivation of competences and the construction of professional knowledge, especially the cultivation of cross-cultural, critical, and innovative abilities. Therefore, in order to enhance college students’ autonomous study ability and cross-cultural skills, this study, based on the concepts of content and language integration, aims to explore the way to combine Willis’ outline of procedure for task-based learning with the five principles of intercultural teaching, and utilize task-based teaching method, and rely on the course—“British and American Culture: A Course to Develop Critical Thinking from a cross-cultural perspective” to respectively consider the design of autonomous study worksheets for English majors before, during, and after class, so as to improve their autonomous learning ability, cultural critical thinking and intercultural communication skills. It will be helpful for the implementation of similar courses

Rspo1/Rspo3‐LGR4 signaling inhibits hepatic cholesterol synthesis through the AMPKα‐SREBP2 pathway

R‐spondins (Rspos) are endogenous ligands of leucine‐rich repeat‐containing G‐protein‐coupled receptor 4 (LGR4). Rspos‐LGR4 signaling plays important roles in embryogenesis, gastrointestinal homeostasis, and food intake. Here, we investigated the impacts of Rspos‐LGR4 on hepatic cholesterol synthesis. Rspo1/3 and Lgr4 knockdown mice were used to investigate the impacts of Rspo1/3‐LGR4 on hepatic cholesterol synthesis. AMPKα agonist, antagonist, and shRNA were used to explore the downstream targets of Rspos‐LGR4 signaling. In our study, we reported that LGR4, Rspo1, and Rspo3 were highly expressed in hepatocytes and their expressions were sensitive to energy states. Rspo1 and Rspo3 reversed OA‐induced cholesterol synthesis, accompanying with increased the phosphorylation of AMPKα Thr172, reduced SREBP2 nuclear translocation, and Srebf2 mRNA expression. Conversely, hepatic LGR4 knockdown increased hepatic cholesterol synthesis and decreased the phosphorylation of AMPKα both in vitro and in vivo. Activation or inhibition of AMPKα significantly abolished the effects of LGR4 deficiency or Rspos, respectively, on cholesterol synthesis. Knockdown of AMPKα1 or/and AMPKα2 repressed Rspos‐induced inhibition on cholesterol synthesis. Our study indicates that Rspo1/Rspo3‐LGR4 signaling in hepatocytes suppresses cholesterol synthesis via the AMPKα‐SREBP2 pathway.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163398/2/fsb221026.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163398/1/fsb221026_am.pd