126 research outputs found

    The Transmediation of Journey to the West into a board Game

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    China is a cultural and economic giant in today’s world, but has been somehow misunderstood in the past decades . With more and more educational and economic communication between China and the western world, more non-Chinese people find a need to know China. This project has created a board game based on Journey to the West, a 2000-page novel which is one of the four great classical novels in China. The project seeks to transmit some of the cultural aspects of China, stimulate people’s interest in China through simple gameplay. The ultimate goal of this project was to develop a game which was fun for friends and families to play together, as well as to offer a relaxing and pleasant play space for people to experience a different culture without extensive reading. The paper explains the research that has been done to realize the project, Journey to the West: the Board Game, and the production expectation. A study has been done behind the project explored the game’s mechanics, appeal and effectiveness. The paper also details the results of this study to determine if players of this board game learn about Chinese culture more than readers of the book

    SIMBA: scalable inversion in optical tomography using deep denoising priors

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    Two features desired in a three-dimensional (3D) optical tomographic image reconstruction algorithm are the ability to reduce imaging artifacts and to do fast processing of large data volumes. Traditional iterative inversion algorithms are impractical in this context due to their heavy computational and memory requirements. We propose and experimentally validate a novel scalable iterative mini-batch algorithm (SIMBA) for fast and high-quality optical tomographic imaging. SIMBA enables highquality imaging by combining two complementary information sources: the physics of the imaging system characterized by its forward model and the imaging prior characterized by a denoising deep neural net. SIMBA easily scales to very large 3D tomographic datasets by processing only a small subset of measurements at each iteration. We establish the theoretical fixedpoint convergence of SIMBA under nonexpansive denoisers for convex data-fidelity terms. We validate SIMBA on both simulated and experimentally collected intensity diffraction tomography (IDT) datasets. Our results show that SIMBA can significantly reduce the computational burden of 3D image formation without sacrificing the imaging quality.https://arxiv.org/abs/1911.13241First author draf

    Online Regularization by Denoising with Applications to Phase Retrieval

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    Regularization by denoising (RED) is a powerful framework for solving imaging inverse problems. Most RED algorithms are iterative batch procedures, which limits their applicability to very large datasets. In this paper, we address this limitation by introducing a novel online RED (On-RED) algorithm, which processes a small subset of the data at a time. We establish the theoretical convergence of On-RED in convex settings and empirically discuss its effectiveness in non-convex ones by illustrating its applicability to phase retrieval. Our results suggest that On-RED is an effective alternative to the traditional RED algorithms when dealing with large datasets.Comment: Accepted ICCVW 2019 (LCI

    Study on the relationship between dietary patterns and metabolic syndrome in Guangdong Province

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    Objective To analyze the relationship between dietary patterns and metabolic syndrome (MS) in Guangdong Province. Methods A survey was undertook based on the data from chronic disease and nutrition monitoring. Dietary patterns of adults in Guangdong Province were exploring by principal component analysis (PCA). PCA was used to identify dietary patterns among adult in Guangdong Province and unconditional Logistic regression model was used to analysis the effects of different dietary patterns on MS. Results Three evident dietary patterns were derived by PCA including "modern fast food dietary pattern", "high plant-based dietary pattern" and "coastal special dietary pattern". Rice and its products, fruits, milk, instant foods, noodles and their products, eggs were the main foods of "modern fast food dietary pattern"; light-colored vegetables, refined vegetable oil, salt, other livestock meat, starch/sugar, beans were the main foods of "high plant-based dietary pattern"; dark vegetables, light vegetables, fish and shrimps, refined animal oil, refined vegetable oil, and pork were the main foods of "coastal special dietary pattern". After adjusting for confounding factors, the modern fast food dietary pattern was a risk factor for hyperglycemia [odds ratio (OR)=2.161, confidence interval (95%CI)=1.173-3.981], and high plant-based dietary pattern was a protective factor for MS (OR=0.494, 95%CI=0.253-0.963). Conclusion High plant dietary patterns could help reduce the risk of MS or reduce the abnormal components of MS. The dietary structure and eating habits should be adjusted according to local conditions to prevent and control the occurrence of MS

    The role of ferroptosis in virus infections

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    Regulated cell death (RCD) is a strategy employed by host cells to defend invasions of pathogens, such as viruses and bacteria. Ferroptosis is a type of RCD characterized by excessive accumulation of iron and lipid peroxidation. While ferroptosis is primarily considered as a mechanism associated with tumorigenesis, emerging evidence begin to suggest that it may play essential role during virus infections. Recent studies illustrated that activation of ferroptosis could either induce or prohibit various types of RCDs to facilitate virus replication or evade host surveillance. More experimental evidence has demonstrated how viruses regulate ferroptosis to influence replication, transmission, and pathogenesis. This review summarizes ferroptosis-related metabolism, including iron metabolism, lipid peroxidation, and antioxidant metabolism. Furthermore, we discuss the interplay between viral infections and host ferroptosis process, with a focus on the mechanism of how viruses exploit ferroptosis for its own replication. Understanding how ferroptosis impacts virus infection can offer valuable insights into the development of effective therapeutic strategies to combat virus infections
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