OBJECTIVE To compare oral health parameters in perinatally HIV-infected (PHIV) and perinatally HIV-exposed but uninfected youth (PHEU). METHODS In a cross-sectional substudy within the Pediatric HIV/AIDS Cohort Study, participants were examined for number of decayed teeth (DT), Decayed, Missing, and Filled Teeth (DMFT), oral mucosal disease, and periodontal disease (PD). Covariates for oral h...

Originally developed to be used in GSM by the Europe Telecommunications Standards Institute (ETSI), the AMR speech codec [TS 26.071] was approved within the 3GPP forum in 1999 to be mandatory for circuitand packet-switched speech in UMTS networks. An AMR speech codec adapts the error protection level to the local radio channel and traffic conditions so that it always selects the optimum channel...

The National Antimicrobial Resistance Monitoring System (NARMS) was developed approximately 15 years ago to monitor enteric bacteria in humans, food producing animals and retail meats for antimicrobial resistant bacteria (AMR). Included in this program was assessing the quantities and levels of AMR bacteria in samples collected from food producing animals at slaughter plants. While this has pro...

INTRODUCTION Acute antibody-mediated rejection (AMR) in renal-transplant recipients is generally less responsive to conventional antirejection therapy and has a worse prognosis than acute cellular rejection. AREAS COVERED This review provides a broad understanding of the pathogenesis of AMR, recent advances in its therapy, and future directions. Conventional therapeutic approaches to AMR have...

This paper presents a new computer code to solve the general relativistic magnetohydrodynamics (GRMHD) equations using distributed parallel adaptive mesh refinement (AMR). The fluid equations are solved using a finite difference Convex ENO method (CENO) in 3 + 1 dimensions, and the AMR is Berger-Oliger. Hyperbolic divergence cleaning is used to control the ∇ · B = 0 constraint. We present resul...

The aim of this work is the development of a high-resolution and high-efficiency module applicable to various numerical simulations. Despite the increasing computational power, lack of numerical resolution is a persistent problem in a simulation studies. To solve this problem, we adopted adaptive mesh refinement (AMR) which realizes both high-resolution and high-efficiency in a simulation [1,2]...

Abstract Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations relatedMeaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-based pa...

In this paper we describe our approach to the Abstract Meaning Representation (AMR) parsing shared task as part of SemEval 2016. We develop a novel technique to parse English sentences into AMR using Learning to Search. We decompose the AMR parsing task into three subtasks that of predicting the concepts, the relations, and the root. Each of these subtasks are treated as a sequence of predictio...