Nucleobindin-1 has high sequence similarity to nucleobindin-2, which encodes the anorectic and metabolic peptide, nesfatin-1. We previously reported a nesfatin-1-like peptide (NLP), anorectic in fish and insulinotropic in mice islet beta-like cells. The main objective of this research was to determine whether NLP is a metabolic regulator in male Wistar rats. A single intraperitoneal (IP) inject...

BACKGROUND Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. MAIN BODY We envision three groups of intended readers...

In contemporary electronic medical records much of the clinically important data-signs and symptoms, symptom severity, disease status, etc.-are not provided in structured data fields but rather are encoded in clinician-generated narrative text. Natural language processing (NLP) provides a means of unlocking this important data source for applications in clinical decision support, quality assura...

In this paper, we present Kathaa1, an open source web based Visual Programming Framework for NLP applications. It supports design, execution and analysis of complex NLP systems by choosing and visually connecting NLP modules from an already available and easily extensible Module library. It models NLP systems as a Directed Acyclic Graph of optionally parallalized information flow, and lets the ...

Natural language processing (NLP) is gradually becoming a more multidisciplinary field, and research in remotely connected aspects of language such as paralinguistic phonetics may benefit from as well as contribute to some areas of NLP. This paper provides a brief overview of paralinguistic phonetics, and some current NLPrelated methods and models used in TTS and ASR systems today. In order to ...

NLP-NG is a new NLP system consisting of three components: NG-CORE (language processing), NG-DB (database management), and NG-SEE (interactive visualization and entry). The ultimate goal of NLP-NG is to produce information retrieval systems in which users can choose full-text schema, adding specific items to focus their queries. Schema are created by a normalization process which elides adjunct...

Natural languages are characterized by rich relational structures and tight integration with world knowledge. As the field of NLP/CL moves towards more complex and challenging tasks, there has been increasing interest in applying joint inference to leverage such relations and prior knowledge. Recent work in statistical relational learning (a.k.a. structured prediction) has shown that joint infe...

In this paper, we present the meta-tooling framework named TAISim that can be used both as a developer‟s tool for creating NLP systems and as a NLP learning environment, which allows helping students to construct NLP systems by example in a flexible way. TAISim enables the end user to combine different components of a typical NLP system in order to tackle specific NLP problems. We use ontology-...

Trypanosoma brucei mono-allelically expresses one of approximately 1500 variant surface glycoprotein (VSG) genes while multiplying in the mammalian bloodstream. The active VSG is transcribed by RNA polymerase I in one of approximately 15 telomeric VSG expression sites (ESs). T. brucei is unusual in controlling gene expression predominantly post-transcriptionally, and how ESs are mono-allelicall...

It is commonly accepted that machine translation is a more complex task than part of speech tagging. But how much more complex? In this paper we make an attempt to develop a general framework and methodology for computing the informational and/or processing complexity of NLP applications and tasks. We define a universal framework akin to a Turning Machine that attempts to fit (most) NLP tasks i...