Objective The aim of our study was to retrospectively validate a previously described rapid clinical score (RCS) in distinguishing tuberculous meningitis (TBM) from viral meningitis (VM) in people who are at increased risk of tuberculosis, as well as from cryptococcal meningitis (CM) in HIV-infected patients. Methods We performed a retrospective study of patients admitted with a diagnosis of ...

AIMS To develop a job-exposure matrix (JEM) from personal and static respirable crystalline silica (RCS) measurements in UK industrial silica sand workers. METHODS A total of 2429 personal and 583 static RCS dust samples were collected using cyclone samplers at seven UK quarries between 1978 and 2000. These data were combined, and analysis of variance using general linear models was used to e...

BACKGROUND Health research capacity strengthening (RCS) projects are often complex and hard to evaluate. In order to inform health RCS evaluation efforts, we aimed to describe and compare key characteristics of existing health RCS evaluation frameworks: their process of development, purpose, target users, structure, content and coverage of important evaluation issues. A secondary objective was ...

To avoid the spatial variation of scattering characteristic effect, a three-dimensional synthetic aperture radar (3-D SAR) imaging based radar cross section (RCS) extraction technique with fixed transmitter is developed. The 3-D SAR image is used to extract targets’ RCS, so it can spatially distinguish different parts of a complex object, or the targets’ RCS from environment. With the abilities...

4-D/RCS Reference Model Architecture for Unmanned Ground Vehicles James S. Albus Intelligent Systems Division National Institute of Standards and Technology Gaithersburg, MD 20899 Abstract 4-D/RCS is the reference model architecture currently being developed for the Demo III Experimental Unmanned Vehicle program. 4-D/RCS integrates the NIST (National Institute of Standards and Technology) RCS (...

Fast classification of a target according to RCS signals is important for many applications. In this paper, we describe the use of the Neural Networks for object classification using collected RCS real data from radar system. Our collected RCS polar plots for 3 ship classes are applied to NNs. This paper proposes three models of three layered feed-forward Neural Network and back-propagation tra...

In the present study, we examine the activity patterns of and synaptic inputs to Renshaw cells (RCs) during fictive locomotion in the newborn mouse using visually guided recordings from GABAergic cells expressing glutamic acid decarboxylase 67-green fluorescent protein (GFP). Among the GFP-positive neurons in the lumbar ventral horn, RCs were uniquely identified as receiving ventral root-evoked...

Introduction The large proportion of CP in alfalfa silage (AS) that is present as NPN substantially reduces the efficiency of protein utilization by lactating dairy cows (Nagel and Broderick, 1992). Red clover silage (RCS) typically has a much lower content of NPN than AS (Albrecht and Muck, 1991). In a previous feeding study (Broderick and Sterrenburg, 1996 USDFRC Res. Sum.), we found that DMI...

Realistic high frequency surface wave radar (HFSWR) targets are investigated numerically in terms of electromagnetic wave – target interactions. Radar cross sections (RCS) of these targets are simulated via both the finite-difference time-domain (FDTD) method and the Method of Moments (MoM). The virtual RCS prediction tool that was introduced in previous work is used for these investigations. T...