134 research outputs found

    Natural charge spatial separation and quantum confinement of ZnO/GaN core/shell nanowires

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    We performed density-functional calculations to investigate the electronic structure of ZnO/GaN core/shell heterostructured nanowires (NWs) orientating along direction. The build-in electric filed arising from the charge redistribution at the {1-100} interfaces and the band offsets were revealed. ZnO-core/GaN-shell NWs rather than GaN-core/ZnO-shell ones were predicted to exhibit natural charge spatial separation behaviors, which are understandable in terms of an effective mass model. The effects of quantum confinement on the band gaps and band offsets were also discussed.Comment: 3 pages, 3 figure

    Exploring the Design Space of Immersive Urban Analytics

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    Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices, such as HTC VIVE, Oculus Rift, and Microsoft HoloLens. These immersive devices have the potential to significantly extend the methodology of urban visual analytics by providing critical 3D context information and creating a sense of presence. In this paper, we propose an theoretical model to characterize the visualizations in immersive urban analytics. Further more, based on our comprehensive and concise model, we contribute a typology of combination methods of 2D and 3D visualizations that distinguish between linked views, embedded views, and mixed views. We also propose a supporting guideline to assist users in selecting a proper view under certain circumstances by considering visual geometry and spatial distribution of the 2D and 3D visualizations. Finally, based on existing works, possible future research opportunities are explored and discussed.Comment: 23 pages,11 figure

    Metabolomics Study of Amenorrhea After the Administration of Shimshin-6 Traditional Prescription in Rats Using the Ultra High Performance Liquid Chromatography Coupled with Time of Flight Mass Spectrometry

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    Objectives: The objective of this study is to determine metabolomics changes in the blood of amenorrhea model rats treated with Shimshin-6, a traditional Mongolian medicine, and search the important biomarkers using the UHPLC/TOF MS platform. Methods: The influence of a traditional Mongolian Shimshin-6 preparation administered to rats with a dexamethasone induced amenorrhea model was assessed to evaluate the physiological changes and the drug\u27s metabolites in biological samples. The metabolites responsible for the differentiation of metabolic profiles between the two groups were obtained based on a multivariate statistics variable importance in the projection (VIP) threshold of 1.0 from the PLS-DA model. The analyses were carried out using an UHPLC-TOF-MS platform. One-way analysis of variance (ANOVA) was applied to test the significance of differences between groups. Results: The metabolic pathways were identified through the online databases Metlin and HMDB. Metabolic pathways analysis found tryptophan metabolism, phenylalanine metabolism, D-Glutamine and D-glutamate metabolism, Sphingolipid metabolism, Ubiquinone and other terpenoid-quinone biosynthesis and Fatty acid biosynthesis were mainly enriched based on the differential metabolites in rats of AG. Some of these pathways were markedly altered, such as the Tryptophan metabolism and phenylalanine metabolism pathway. Conclusions: A variety of potential biomarkers of Shimshin-6 physiological activity have been identified in the tested samples. According to the results it could be clearly seen, that the administration of this traditional medication affected the metabolism of amino acids, fatty acids and energy, to improve the condition of the animals suffering from amenorrhea

    NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data

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    Understanding how local environments influence individual behaviors, such as voting patterns or suicidal tendencies, is crucial in social science to reveal and reduce spatial disparities and promote social well-being. With the increasing availability of large-scale individual-level census data, new analytical opportunities arise for social scientists to explore human behaviors (e.g., political engagement) among social groups at a fine-grained level. However, traditional statistical methods mostly focus on global, aggregated spatial correlations, which are limited to understanding and comparing the impact of local environments (e.g., neighborhoods) on human behaviors among social groups. In this study, we introduce a new analytical framework for analyzing multi-variate neighborhood effects between social groups. We then propose NeighVi, an interactive visual analytics system that helps social scientists explore, understand, and verify the influence of neighborhood effects on human behaviors. Finally, we use a case study to illustrate the effectiveness and usability of our system.Comment: Symposium on Visualization in Data Science (VDS) at IEEE VIS 202

    Reviving Static Charts into Live Charts

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    Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and efficiently present intricate information, potentially resulting in limited understanding. We introduce "Live Charts," a new format of presentation that decomposes complex information within a chart and explains the information pieces sequentially through rich animations and accompanying audio narration. We propose an automated approach to revive static charts into Live Charts. Our method integrates GNN-based techniques to analyze the chart components and extract data from charts. Then we adopt large natural language models to generate appropriate animated visuals along with a voice-over to produce Live Charts from static ones. We conducted a thorough evaluation of our approach, which involved the model performance, use cases, a crowd-sourced user study, and expert interviews. The results demonstrate Live Charts offer a multi-sensory experience where readers can follow the information and understand the data insights better. We analyze the benefits and drawbacks of Live Charts over static charts as a new information consumption experience
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