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Among multivariate techniques, R-mode FA has been widely employed for understanding hydrogeochemical associations and processes controlling them (Drever 1988; Razack and Dazy 1990; Melloul and Collin 1992; Briz-kishore and Murali 1992; Ballukraya and Ravi 1999).
Molecular dynamics (MD) and grand canonical Monte Carlo (GCMC) have been employed for understanding the effect of urethane and urea contents on gas separation properties of poly urethane urea)s (PUUs) membranes.
In recent years, model system Caenorhabditis elegans (C. elegans) has been successfully employed for understanding numerous key biological processes.
Structural equation models have been successfully used for testing and estimating causal pathways and have been successfully employed for understanding the path from exposures to health outcomes [ 31, 41- 43].
While it has been used extensively in material science for imaging and atomic force measurements, only recently has the AFM been employed for understanding the nanoparticle-to-nanoparticle interactions in physiologic fluids.
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Sensitivity analyses were employed for further understanding of the uniqueness and sensitivity to experimental errors of indentation techniques.
The preceding discussion has outlined the general approach to covalent bonding and has shown how it is still widely employed for a qualitative understanding of molecules.
The study demonstrates how a predictive tool could be employed for a better understanding of thermal breakage of window glass in fires and for design guidance.
In particular, interactive rotation of 3-dimensional volume-rendered images was employed for the optimal understanding of spatial relationships.
In the present study, oligonucleotide microarray has been employed for a better understanding of gene expression signatures.
Thus, cells from embryo/fetus of Atg7−/− mice and certain cell/tissue-specific Atg7-knockout postnatal mice were extensively employed in the quest for understanding the mechanisms underlying the pleiotropic effects of ATG7 in development, physiology, and pathology (Table 1).
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