187 resultados para Discourse Markers


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Raman microscopy is used to investigate the spectral features of selected compounds known to be involved in the development of the eye disease age-related macular degeneration (AMD). Diagnostic features were identified in synthetic samples of these compounds and in a biological matrix. The study demonstrates the potential of Raman microscopy for the development of diagnostic markers of the onset of AMD. Copyright (C) 2008 John Wiley & Sons, Ltd.

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This paper outlines the design and development of a Java-based, unified and flexible natural language dialogue system that enables users to interact using natural language, e.g. speech. A number of software development issues are considered with the aim of designing an architecture that enables different discourse components to be readily and flexibly combined in a manner that permits information to be easily shared. Use of XML schemas assists this component interaction. The paper describes how a range of Java language features were employed to support the development of the architecture, providing an illustration of how a modern programming language makes tractable the development of a complex dialogue system.

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Logistic regression and Gaussian mixture model (GMM) classifiers have been trained to estimate the probability of acute myocardial infarction (AMI) in patients based upon the concentrations of a panel of cardiac markers. The panel consists of two new markers, fatty acid binding protein (FABP) and glycogen phosphorylase BB (GPBB), in addition to the traditional cardiac troponin I (cTnI), creatine kinase MB (CKMB) and myoglobin. The effect of using principal component analysis (PCA) and Fisher discriminant analysis (FDA) to preprocess the marker concentrations was also investigated. The need for classifiers to give an accurate estimate of the probability of AMI is argued and three categories of performance measure are described, namely discriminatory ability, sharpness, and reliability. Numerical performance measures for each category are given and applied. The optimum classifier, based solely upon the samples take on admission, was the logistic regression classifier using FDA preprocessing. This gave an accuracy of 0.85 (95% confidence interval: 0.78-0.91) and a normalised Brier score of 0.89. When samples at both admission and a further time, 1-6 h later, were included, the performance increased significantly, showing that logistic regression classifiers can indeed use the information from the five cardiac markers to accurately and reliably estimate the probability AMI. © Springer-Verlag London Limited 2008.

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The extent of absorption of dietary advanced glycation end products (AGEs) is not fully known. The possible physiological impact of these absorbed components on inflammatory processes has been studied little and was the aim of this investigation. Aqueous solutions of bovine casein and glucose were heated at 95 degrees C for 5 h to give AGE-casein (AGE-Cas). Simulated stomach and small intestine digestion of AGE-Cas and dialysis (molecular mass cutoff of membrane = 1 kDa) resulted in a low molecular mass (LMM) fraction of digestion products, which was used to prepare bovine serum albumin (BSA)-LMM-AGE-Cas complexes. Stimulation of human microvascular endothelial cells with BSA-LMM-AGE-Cas complexes significantly increased mRNA expression of the receptor of AGE (RAGE), galectin-3 (AGE-113), tumor necrosis factor alpha, and a marker of the mitogen-activated protein kinase pathway (MAPK-1), as well as p65NF-kappa B activation. Cells treated with LMM digestion products of AGE-Cas significantly increased AGE-R3 mRNA expression. Intracellular reactive oxygen species production increased significantly in cells challenged with BSA-LMM-AGE-Cas and LMM-AGE-Cas. In conclusion, in an in vitro cell system, digested dietary AGEs complexed with serum albumin play a role in the regulation of RAGE and down-stream inflammatory pathways. AGE-R3 may protect against these effects.

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