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open access

3D-FHNet: Three-Dimensional Fusion Hierarchical Reconstruction Method for Any Number of Views

Description: Article proposes a three-dimensional fusion hierarchical reconstruction method that utilizes a multi-view feature combination method and a hierarchical prediction strategy to unify the single view and any number of multiple views 3D reconstructions.
Date: November 22, 2019
Creator: Lu, Qiang; Lu, Yiyang; Xiao, Mingjie; Yuan, Xiaohui & Jia, Wei
open access

Automated extraction of attributes from natural language attribute-based access control (ABAC) Policies

Description: Article (1) developing a practical framework to extract authorization attributes of hierarchical ABAC system from natural language artifacts, and (2) generating a set of realistic synthetic natural language access control policies (NLACPs) to evaluate the proposed framework.
Date: January 21, 2019
Creator: Alohaly, Manar; Takabi, Hassan & Blanco, Eduardo
open access

Bayesian analysis of complex mutations in HBV, HCV, and HIV studies

Description: This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
Date: April 4, 2019
Creator: Guo, Xuan; Liu, Bing; Feng, Shishi & Zhang, Jing
open access

Genome-Resolved Proteomic Stable Isotope Probing of Soil Microbial Communities Using 13CO2 and 13C-Methanol

Description: Article describes experiment where proteomic sable isotope probing (SIP) was combined with targeted metagenomic binning to reconstruct metagenome-assembled genomes (MAGs) of the microorganisms producing labeled proteins. Carbon flows were tracked from 13CO2 to the rhizosphere communities of Zea mays, Triticum aestivum, and Arabidopsis thaliana.
Date: December 6, 2019
Creator: Li, Zhou; Yao, Qiuming; Guo, Xuan; Crits-Christoph, Alexander; Mayes, Melanie A.; Hervey, William Judson IV et al.
open access

Incorporating Emoji Descriptions Improves Tweet Classification

Description: Article presenting a simple strategy to process emojis in Tweets: replace them with their natural language description and use pretrained word embeddings as normally done with standard words. Results show that this strategy is more effective than using pretrained emoji embeddings for tweet classification.
Date: June 2019
Creator: Singh, Abhishek K.; Blanco, Eduardo & Jin, Wei
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