WIST is a toolkit that enables customized LIMS modules for data storage and display to be rapidly developed, deployed and modified in response to changing experimental designs.
Throughout our experiments, the experienced subjects were influenced by experienced or inexperienced partners depending on changing experimental situations.
It is observed that the shape of cost function is varied by changing the design variable.
It can be achieved by changing the design of the glenosphere.
Robustness of the method evaluated by changing different experimental conditions under which analyses performed, fractional factorial design was done for assessing robustness of the method.
By changing the experimental task, functional coupling also changes.
The arrangement and alignment of the superstructures can be tuned by changing the experimental conditions.
Stability is affected by changing external fixator design and method of osseous fixation.
Moreover, we added variability in trajectories by changing the experimental protocol (tested and trained trajectories were not the same).
In silco simulations reveal that cDNA pool coverage is largely determined by the choice of individual restriction enzymes and that, through the choice of optimal enzyme combinations, coverage can be increased from <40%to75%5% without changing the underlying experimental design.
