In addition to the LRP, which directly reflects motor activation processes, several recent ERP studies using response precueing procedures have uncovered other lateralized components that are triggered earlier during the movement preparation interval (Eimer et al., 2005, 2006; Praamstra et al., 2005; Mathews et al., 2006; Praamstra, 2006; Wauschkuhn et al., 1997; Van der Lubbe et al., 2000).
This paper presents a procedure to examine test-taking behaviors using response time collected from a National Assessment of Educational Progress (NAEP) computer-based study, referred to as MCBS.
Furthermore, using response surface methodology, an optimized procedure for simultaneous extraction of these compounds was established.
A method to calculate the total absorption, A, of the receiving room is introduced by simulation of the reverberation time measurement procedure using Transient acoustic response analysis.
Failure of items to fit Rasch model expectations led to an iterative procedure using techniques for collapsing response categories, item deletion, and adjusting for DIF where necessary.
The proposed procedure uses (a) response-based fragility curves to represent the capacity of structural and nonstructural components of NPPs, (b) nonlinear response-history analysis to characterize the demands on those components, and (c) Monte Carlo simulations to determine the damage state of the components.
The desired drug release profile of TA-SRPs was obtained via the point-area deconvolution procedure using the weight function and response function, and used for formulation optimization of TA-SRPs.
As demonstrated in this study, the present dynamic response-based procedure using smart sensors can be effectively used to assess damage and monitor structural health of FRP honeycomb sandwich structures.
An optimization procedure using finite element analysis and a response surface algorithm is also conducted to verify the proposed approach.
This procedure used a dose-response model, which predicted for the average laboratory that a 50% certainty of detection was achieved for CHIKV plasma concentrations >10,000 RNA copies/mL (95% confidence interval [CI] 3,162 19,952 copies/mL).
