The objective of this study is to predict the percentage dilution in AISI 1020 low carbon steel welds produced from tungsten inert gas welding using Artificial Neural Networking (ANN) approach. regression plot showed R = 0.9992 as progress training, 0.99865 validation and 0.85285 training test. This led overall correlation coefficient (R) 0.90007 which signified that ANN a robust tool for predi...

OBJECTIVE To compare measured and predicted oxygen consumption (VO2) in children with congenital heart disease. DESIGN Retrospective study. SETTING The cardiac catheterisation laboratory in a university hospital. PATIENTS 125 children undergoing preoperative cardiac catheterisation. INTERVENTIONS VO2 was measured using indirect calorimetry; the predicted values were calculated from regr...

We study bias of predictors when a multivariate calibration procedure has been applied to relate a scalar y (concentration of an analyte, say) to a vector x (spectral intensities, say). The model for data is assumed to be of latent factor regression type, with multiple regression models and errors-in-variables models as special cases. The calibration procedures explicitly studied are OLSR, PLSR...

We studied whether the Etest can be used as an alternative to agar dilution to determine antimicrobial susceptibilities of ceftriaxone, cefixime, and cefpodoxime in Neisseria gonorrhoeae surveillance. One hundred fifteen clinical and laboratory isolates of N. gonorrhoeae were tested following the Clinical Laboratory Improvement Amendments (CLIA)-approved CLSI standard agar dilution method and, ...

Masry (1996b) provides estimation bias and variance expression for a general local polynomial kernel estimator in a general multivariate regression framework. Under smoother conditions on the unknown regression and by including more refined approximation terms than that in Masry (1996b), we extend the result of Masry (1996b) to obtain explicit leading bias terms for the whole vector of the loca...

support vector regression (svr) solves regression problems based on the concept of support vector machine (svm). in this paper, a new model of svr with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

The results of an external quality-assessment experiment for serum creatinine measurement are described. Fifty-one laboratories performed quintuplicate analyses during three different analytical runs on six lyophilized sera and two frozen human serum pools. Isotope dilution gas chromatography-mass spectrometry (ID GC-MS) target values were assigned to all the materials. Intralaboratory within- ...

All experimental assay data contains error, but the magnitude, type, and primary origin of this error is often not obvious. Here, we describe a simple set of assay modeling techniques based on the bootstrap principle that allow sources of error and bias to be simulated and propagated into assay results. We demonstrate how deceptively simple operations--such as the creation of a dilution series ...

All experimental assaydata contains error, but themagnitude, type, andprimaryoriginof this error is o en not obvious. Here, we describe a simple set of assay modeling techniques based on the bootstrap principle that allow sources of error and bias to be simulated and propagated into assay results. We demonstrate how deceptively simple operations—such as the creation of a dilution series with a ...

A new isotope dilution mass spectrometric method for total glycerides and triglycerides in human serum is described. Total glycerides are defined as the sum of tri-, di-, and monoglycerides plus free glycerol; triglycerides are defined as the pure triglyceride species. In both determinations, serum samples are supplemented by addition of [13C3]tripalmitin, processed, derivatized, and the abunda...