We were, therefore, motivated to develop Path, a software application designed to help researchers interface their data with biological information from several bioinformatics resources.
"Harmony follows in a well-established tradition of fully legal, independently developed paths to achieve compatibility".
It was the same with the developing path of the biological industry in that mAb development was spearheaded by academic institutions to be gradually transformed into enterprises in the ensuing years.
The contour lines of functions can be used to describe fiber paths by using newly developed path functions.
Much later, he would realize the significance of Wiener's suggestion as he ultimately developed path-integral machinery for studying stochastic neural field equations with Ohiro, Buice, Chow, Neuman, and others [14 16, 24, 25, 45].
In developing path tracking controller for autonomous vehicles, a properly tuned controller will work well for a certain range of driving conditions but may need to be re-tuned for others.
For harvesting, the service unit drives within an olive grove environment following the previously developed path and a trailer is used as a mobile hopper where olives, collected by human labour, are deposited.
As the Senate and House present their health care reform bills, Al Franken, Minnesota's junior senator, disputes the well-established fact that America has higher cancer survival rates than Europe even though his state's Mayo Clinic, perhaps the most sophisticated medical center in the world, has developed path-breaking treatments for cancer.
This is accomplished by formulating a "moment of load path" or "MLP" based fatigue damage parameter that provides a consistent treatment of load-path non-proportionality under arbitrary multi-axial loading conditions for which cycle counting can be consistently performed by means of a previously developed path-dependent maximum range (PDMR) cycle counting procedure.
We propose a paradigm for UQ that combines the recently developed path-conservative spatial discretizations efficiently implemented on cluster of GPUs, with the recently developed Multi-Level Monte Carlo (MLMC) statistical sampling method and provides a fast, accurate and computationally efficient framework to compute statistical quantities of interest.
