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  • Influence
When Online Meets Offline: The Effect of Modality Switching on Relational Communication
Collaborative partnerships developed via text-based computer-mediated communication (CMC) commonly shift interactions to alternative formats. Extant research indicates that shifting from one modalityExpand
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Willingness to Help Following the Sichuan Earthquake
Examining individuals’ TV and Internet involvement following the 2008 Sichuan earthquake, this study demonstrates that involvement with disaster media renders positive and negative effects on viewers. Expand
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Forgiveness in the United States and China
This study examined forgiveness communication in United States and Chinese relationships. Expand
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Impact of joint statistical dual-energy CT reconstruction of proton stopping power images: Comparison to image- and sinogram-domain material decomposition approaches.
PURPOSE The purpose of this study was to assess the performance of a novel dual-energy CT (DECT) approach for proton stopping power ratio (SPR) mapping that integrates image reconstruction andExpand
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Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery
In this paper, novel multi-scale deep learning models are proposed for urban land cover classification based on very high resolution (VHR) satellite imagery. Expand
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Joint Virtual Probe: Joint exploration of multiple test items' spatial patterns for efficient silicon characterization and test prediction
We propose a new method, named Joint Virtual Probe (JVP), which captures the spatial patterns in the test data for multiple test items jointly. Expand
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Relational Communication in Computer-Mediated Interaction Revisited: A Comparison of Participant–Observer Perspectives
Studies of online environments estimate that the majority of members in online forums do not contribute to ongoing discussions and only observe or “lurk” (e.g., Nonnecke & Preece, 2000). Despite theExpand
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Experimental implementation of a joint statistical image reconstruction method for proton stopping power mapping from dual‐energy CT data
We propose a dual-energy CT (DECT) joint statistical image reconstruction (JSIR) method, which is built on a linear basis vector model (BVM) of material characterization, for proton stopping power ratio (SPR) estimation. Expand
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TU-FG-BRB-03: Basis Vector Model Based Method for Proton Stopping Power Estimation From Experimental Dual Energy CT Data.
PURPOSE This work aims at reducing the uncertainty in proton stopping power (SP) estimation by a novel combination of a linear, separable basis vector model (BVM) for stopping power calculation (MedExpand
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A Novel Personalized Differential Privacy Mechanism for Trajectory Data Publication
We apply the Hilbert curve to extract the distribution characteristics of the trajectory data at each time and propose a personalized differential privacy publication mechanism for trajectory data. Expand
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