Inferences we make about underlying cognitive processes can be jeopardized in two ways due to problematic forms of aggregation. First, averaging across individuals is typically considered a very useful tool for removing random variability. The threat is that averaging across subjects leads to averaging across different cognitive strategies, thus harming our inferences. The second threat comes f...

The present work is aimed at the optimization of nanosuspension of felodipine, a poorly water soluble antihypertensive drug using Full factorial Design. A 3 Full factorial design using Design Expert Version 8.0.7.1was employed to study the effect of the independent variables (diffusing drug concentration and stabilizer concentration) on the dependent variables (particle size, percentage of drug...

This paper describes a robust optimization methodology for designs involving either complex simulations or actual experiments. The methodology adopts a new objective function which consists of an Expected Performance (EP) and a weighted Quality Index (QI). This definition enhances the measure of optimality and robustness. This paper introduces the Quadrature Factorial Experiment to estimate the...

Soybean lecithin containing a mixture of phospholipids (PLs) is an important co product obtained during soybean oil refining. Saturated rich PLs find several applications in food, cosmetic and pharmaceutical areas. The present study reports a simple, rapid, efficient and continuous hydrogenation process using 10% Pd/C catalyst at various temperatures and pressures. Degree of hydrogenation was m...