"Until now, we have relied on approaches that require us to know quite a bit about what we're looking for, and to focus in on very specific functions or brain regions," says Tal Yarkoni, a cognitive neuroscientist at the University of Colorado, Boulder.
This necessitates systematic and transdisciplinary approaches that require the cooperation of chemists, biologists, engineers, and policy makers.
Cell-sheet technology therefore provides a novel alternative for regenerative medicine approaches that require the reconstruction of functional tissue structures.
There are a number of uncertainties in these approaches that require interpretation of metrics such as persistence in various media, bioaccumulation, and toxicity.
This is an advantage over machine-learning approaches that require a large training set, which is laborious and expensive to create.
In most cases, numerical modeling of composite structures is based on multiscale approaches that require special techniques for establishing connection between parameters at different scales.
Map projection is often needed, for example, when we apply these big spatial data into large-scale spatial analysis and modeling approaches that require a common coordinate system.
For the cases examined the proposed controller implementation gives a more systematic procedure than other ad-hoc approaches that require considerable tuning effort.
Cell sheet engineering therefore provides a novel alternative for regenerative medicine approaches that require the re-creation of functional tissue structures.
For the cases examined the proposed controller design gives a more systematic procedure than other ad hoc approaches that require considerable tuning effort.
Unlike existing approaches that require file system metadata, our proposed algorithm is designed based on the file carving technique without relying on system metadata.
