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Data exploration on standard asphalt mix analyses Data exploration on standard asphalt mix analyses  [registered users only]
The purpose of this study was the evaluation of the most important factors that affect the volumetric and conventional mechanical properties of asphalt. To select the most important factors, several multiple linear regression (MLR) models, partial least squares (PLS) regression models and counterpropagation neural network models were made. Among 21 variables there is only one found as less important. The best models will be employed for the preparation of the asphalt mix design with some unknown material. [June 16, 2009]


Toxic shock Toxic shock 
A correlation between the different factors affecting the toxicity of wastes hazardous to the aquatic environment can be derived from a novel battery of bioassays using multivariate analysis, primarily Principal Component Analysis, according to a new study. [June 15, 2009]


Rank annihilation factor analysis for multicomponent kinetic-spectrophotometric determination using difference spectra Rank annihilation factor analysis for multicomponent kinetic-spectrophotometric determination using difference spectra  [registered users only]
In this work a theoretical formulation of difference spectra for kinetic-spectrophotometric two-way data of parallel complexation reactions is presented. [May 20, 2009]


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spectroscopyNOW Podcasts: PodChem spectroscopyNOW Podcasts: PodChem  [registered users only]

spectroscopyNOW & separationsNOW podcasts are now a part of "PodChem" - a new series of chemistry-related podcasts, produced within the Chemistry Division of John Wiley and Sons, Ltd.

Listen now to the latest podcast in the series:

Pittcon 2009 Editors' Choice Awards for Best New Products

Click here to listen and subscribe >>>


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Dictionary of Mass Spectrometry 
Author: Anthony Mallet, Steve Down
Publisher: Wiley

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Microscopy & Microanalysis 2009
Greater Richmond Convention Center, Richmond, VA, USA July 26, 2009

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Postdoctoral Position - NMR  Europe, Stockholm

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