3,317 research outputs found

    Robust Lossless Data Hiding by Feature-Based Bit Embedding Algorithm

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    CR3 and Dectin-1 Collaborate in Macrophage Cytokine Response through Association on Lipid Rafts and Activation of Syk-JNK-AP-1 Pathway

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    Copyright: © 2015 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Acknowledgments We are grateful to the Second Core Laboratory of Research Core Facility at the National Taiwan University Hospital for confocal microscopy service and providing ultracentrifuge. We thank Dr. William E. Goldman (University of North Carolina, Chapel Hill, NC) for kindly providing WT and ags1-null mutant of H. capsulatum G186A. Funding: This work is supported by research grants 101-2320-B-002-030-MY3 from the Ministry of Science and Technology (http://www.most.gov.tw) and AS-101-TP-B06-3 from Academia Sinica (http://www.sinica.edu.tw) to BAWH. GDB is funded by research grant 102705 from Welcome Trust (http://www.wellcome.ac.uk). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD

    Development of malignancy after treatment of idiopathic membranous nephropathy

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    Enhancing Graduate Students’ Reflection in E-Portfolios Using the TPACK Framework

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    When electronic portfolios (e-portfolios) are employed as summative assessments for degree granting programs, it is imperative that graduate students demonstrate their knowledge in the field to showcase learning growth and achievement of the program learning outcomes. This study examined the extent master\u27s degree students in the field of educational technology demonstrated their technological pedagogical content knowledge (TPACK) related elements in their e-portfolio reflection, when they were guided by TPACK framework grounded instruction. Using content analysis technique and open-ended survey responses, the findings show that graduate students were able to demonstrate their interconnected technological pedagogical knowledge in their reflection to justify their competencies. In addition, graduate students had positive reactions to the opportunity to reflect through writing the reflection paper. This study contributes to the e-portfolio literature by signifying the importance of providing a discipline-specific framework to guide students’ reflection of learning. The TPACK grounded instruction helped graduate students stay focused on their reflection. This study also contributes to the TPACK literature by demonstrating the extent to which graduate students presented their integrated knowledge of TPACK at the end of a program driven to developing students’ technology integration expertise

    Utilized mass spectrometry-based protein profiling system to identify potential biomarkers of hepatocellular carcinoma

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    AbstractHepatocellular carcinoma (HCC) is the most common malignant liver tumor. The purpose of this study is to characterize proteins secreted from the HepG2 cells, which may relate to cell differentiation and tumor metastasis. In the proteomic analysis, the secretome was identified by nano-high–performance liquid chromatography/electrospray ionization tandem mass spectrometry (nano-HPLC/ESIMS/MS) followed by peptide fragmentation pattern analysis. In this study, three proteins, p130Cas-associated protein (p130Cas/BCAR1), TAR DNA-binding protein 43 (TDP43/TARDBP) and translationally controlled tumor protein (TCTP/TPT1), were identified and confirmed by Western blotting, which showed significantly differential expression compared with the normal liver cells. Analyzing differential protein expressions in HepG2 cell by proteomic approaches suggests that p130Cas/BCAR1, TDP43/TARDBP and TCTP/TPT1 as key proteins and may serve as biomarkers for HCC
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