25 research outputs found

    Error, running time, and memory usage of CTD-S compared to those of Tensor-CUR over sample size <i>s</i> for haggle dataset.

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    <p>CTD-S is more accurate over various sample sizes, and its running time and memory usage are relatively constant compared to the Tensor-CUR.</p

    Table of symbols.

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    <p>Table of symbols.</p

    The scheme for CTD-D.

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    <p>The scheme for CTD-D.</p

    Summary of the tensor data used.

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    <p>Summary of the tensor data used.</p

    Comparison of our proposed CTD and the existing Tensor-CUR.

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    <p>The static method CTD-S outperforms the state of-the-art Tensor-CUR in terms of time, memory usage, and accuracy. The dynamic method CTD-D is the fastest.</p

    The scheme for CTD-S.

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    <p>The scheme for CTD-S.</p

    The result of online DDoS attack detection method based on CTD-D.

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    <p>CTD-D achieves high F1 score for various <i>n</i> with notable precision, where <i>n</i> denotes the number of injected DDoS attacks.</p

    The accuracy of CTD-S compared to Tensor-CUR and the fiber independence rate.

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    <p>The accuracy of CTD-S compared to Tensor-CUR and the fiber independence rate.</p

    The result of online troll detection in facebook-wall dataset based on CTD-D.

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    <p>CTD-D detects all the trolls inserted (<i>recall</i> = 1) for various <i>n</i>, where <i>n</i> denotes the number of injected troll users. Note that we used only 10<sup>−4</sup>% of the entire fibers as a sample size.</p

    Additional file 1: Figure S1. of Multiple genetically engineered humanized microenvironments in a single mouse

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    Selection and conformation of lentivial transfected mouse stromal cells. (A) Flow cytometric analysis of GFP mBMSC, (B) Culture-expanded genetically engineered mBMSCs. (Scale bar, 200μm). Figure S2. Characterized secretion of human cytokines from genetically engineered stromal cells in 1 and 3 weeks in vitro culture. Figure S3. hSDF1a ELISA in mouse blood serum. Control mice without scaffold implantation showed a background level of SDF1a signal due to cross-reactivity. This level was used as a baseline and was also observed in growth arrested, which was concluded, as undetectable. The other groups showed measurable levels above background and were concluded to be true hSDF-1a detection. Figure S4. SEM images of growth-competent genetically engineered stromal cell-seeded scaffolds. (A) Cross-sectional images of human soluble factor secreting engineered stromal cell-seeded scaffolds after 6 weeks subcutaneous implantation. Except hTNFa, entire pores were completely filled with tissue cells with no hematopoietic components. (B) Closed-up image of growing engineered stromal cell-seeded scaffolds. Figure S5. Examples of semi-quantitative image analysis using ImageJ. (A) Collagen fiber area estimation from a Masson’s Trichrome staining image, (B) Vasculature area estimation from an immunohistostaining mCD31 and DAPI image. Figure S6. Long-term maintenance of inflammation-mimicking tissue microenvironment indirectly indicates survival and function of growth-arrested hTNFa secreting engineered stromal cells in the implanted scaffolds. (DOCX 2962 kb
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