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A novel physically based shape modification approach is presented in this article, with beam model in finite element method (FEM).
Selecting the optimum porous structure, manufacturing process and surface modification approach is crucial to reduce the rate of implant failure.
The flowchart of the iterative forecasting error modification approach is summarized in Fig. 1.
An iterative error modification approach is designed in this paper to yield the potential benefits of statistical models, including a set of error forecasting models.
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To overcome the problem, a gene modification approach was developed to knock-down the key gene involving dedifferentiation of human chondrocytes.
TEM images of the adsorbed antibody on the CNTs show that the covalent modification approach was successful, whereas the non-covalent approach resulted in no electrochemically detectable labelled antibody.
One of the most versatile and effective modification approaches is the incorporation of metal oxide particles to enhance the performance of the membranes.
Here, a novel lipid-modification approach is shown to create a small library of neuropeptides that will allow increased bioavailability and plasma stability after systemic administration.
Some typical surface modification approaches are reviewed.
Several surface modification approaches are employed for all classes of biomaterials to engineer biofunctionality at the material-tissue interface in order to modulate biological responses without altering material bulk properties.
Third, various accurate modification approaches are available.
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