598 research outputs found
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
GW26-e2273 Cardiac Troponin I and Longitudinal Strain Predict for Prediction of Clinical Outcomes in Patients with ST-segment Elevation
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 āThe Survey of British and American Cultureā 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 āNational Standardsā) 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 studentsā 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 Willisā outline of procedure for task-based learning with the five principles of intercultural teaching, and utilize task-based teaching method, and rely on the courseāāBritish and American Culture: A Course to Develop Critical Thinking from a cross-cultural perspectiveā 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/Rspo3āLGR4 signaling inhibits hepatic cholesterol synthesis through the AMPKĪ±āSREBP2 pathway
Rāspondins (Rspos) are endogenous ligands of leucineārich repeatācontaining Gāproteinācoupled receptor 4 (LGR4). RsposāLGR4 signaling plays important roles in embryogenesis, gastrointestinal homeostasis, and food intake. Here, we investigated the impacts of RsposāLGR4 on hepatic cholesterol synthesis. Rspo1/3 and Lgr4 knockdown mice were used to investigate the impacts of Rspo1/3āLGR4 on hepatic cholesterol synthesis. AMPKĪ± agonist, antagonist, and shRNA were used to explore the downstream targets of RsposāLGR4 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 OAāinduced cholesterol synthesis, accompanying with increased the phosphorylation of AMPKĪ± Thr172, reduced SREBP2 nuclear translocation, and Srebf2 mRNA expression. Conversely, hepatic LGR4 knockdown increased hepatic cholesterol synthesis and decreased the phosphorylation of AMPKĪ± both in vitro and in vivo. Activation or inhibition of AMPKĪ± significantly abolished the effects of LGR4 deficiency or Rspos, respectively, on cholesterol synthesis. Knockdown of AMPKĪ±1 or/and AMPKĪ±2 repressed Rsposāinduced inhibition on cholesterol synthesis. Our study indicates that Rspo1/Rspo3āLGR4 signaling in hepatocytes suppresses cholesterol synthesis via the AMPKĪ±āSREBP2 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
Relationship between suicide rate and economic growth and stock market in the People’s Republic of China: 2004–2013
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