LMI based methods are developed for constructing feedback laws that achieve disturbance rejection with guaranteed stability requirements.
Molecular field analysis (MFA) models with three different alignment techniques, namely, least squares, pharmacophore based and receptor based methods were developed.
As an alternative, fire engineering performance based methods are developed, which may need sophisticated numerical models to adequately simulate the responses of structures in the design fire scenarios.
In this study, simple procedures based on preparative HPLC and salting-out assisted liquid liquid extraction (SALLE) based methods were developed respectively for large scale isolation and the extraction of psychoactive phenylpropylamino alkaloids; cathinone, cathine and norephedrine, from khat (Catha edulis Forsk) chewing leaves, a stimulant and drug of abuse plant.
Tag based methods were developed to overcome these limitations, including serial analysis of gene expression (SAGE) [ 3] and massively parallel signature sequencing (MPSS) [ 4].
More recently, PCR based methods were developed for molecular typing of C. burnetii strains, including multi-locus variable number of tandem repeats analysis (MLVA) [ 9, 10], multispacer sequence typing (MST) [ 11], and single nucleotide polymorphism (SNP) [ 12, 13].
In our research different geometries were analyzed, and a video based method was developed to validate the CFD simulation results.
In addition, SALLE based method was developed, optimized and evaluated for the extraction of naturally present alkaloids from khat (Catha edulis Forsk) chewing leaves samples.
A DCT based method was developed to automatically detect the encrypted regions thus making the system truly independent of the compression algorithms used.
Knowing that flanged flexural members likely have plastic deformation at their ultimate limit state, a least-work based method was developed for modeling inelastic shear lag behavior.
