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RISQuantitative Structure-Retention Relationships Study of Phenols Using Neural Network and Classic Multivariate Analysis
A quantitavi structure- relationship (QSRR) study has been carried out on 50 diverse phenols in gas chromatography (GC) in a dual-capillaryc olumn systemm adeo f DB-5 (SE-54b ondedp hase)a ndD B-17 (OV-I 7 bondedp hase)f ...
High-performance liquid chromatographic enantioseparation of drugs containing multiple chiral centers on chiral stationary phases
In recent years there has been considerable interest in the synthesis and separation of
enantiomers of organic compounds especially because of their importance in the biochemistry
and pharmaceutical industry. ...
Application of MLR, PLS and Artificial Neural Networks for Prediction of GC/ECD Retention Times of Chlorinated Pesticides, Herbicides, and Organohalides
Quantitative structure–retention relationship (QSRR) models correlating the retention times of diverse chlorinated pesticides, herbicides, and organohalides in gas chromatography/electron capture detector (GC/ECD) system ...
On-line preconcentration of ultra-trace thallium(I) in water samples with titanium dioxide nanoparticles and determination by graphite furnace atomic absorption spectrometry
A new method has been developed for the determination of Tl(I) based on simultaneous
sorption and preconcentration with a microcolumn packed with TiO2 nanoparticle with a high specific
surface area prepared ...
neural network model as a new powerful tool to describe and predict hatchability of broiler breeder eggs
Neural Networks offer an alternative to regression analysis for biological modeling. Very little research has been carried out to model fertility using artificial Neural Networks. The aim of this study is evaluation of a ...
Preconcentration Procedure using Vortex Agitator System for Determination of Trace Levels of Cadmium by Flame Atomic Absorption Spectrometry
A simple and rapid vortex-assisted ionic liquid based liquid-liquid microextraction (VALLME)
procedure was used for the determination of trace amounts of cadmium by flame atomic absorption
spectrometry ...
Comparison of the 3-phase segmented linear regression and artificial neural network models to predict broiler hatchability
The objective of this study was to compare the performance of an artificial neural network
(ANN) model and a 3-phase segmented linear regression model to describe the relationship
between flock age and ...