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In summary, this work explores the benefits and limitations of engaging native, biologically-inspired, non-covalent knob:pocket interactions within fibrin ogen) for the retention of therapeutic proteins in fibrin matrices and provides insight into the stability of native knob:pocket interactions within fibrin networks.
It holds for the invertible Hermite matrices and provides refinements of the classical results.
It optimizes storage and access of variant data (sparse matrices) and provides built-in analysis functions.
This is compatible with most finite-element codes, and is used for the handling of grid, degrees of freedom, sparse matrices and provides support for different solvers, which helps keep our code manageable.
This new approach can be used as an alternative in the analysis of volatile fractions in extracts and complex matrices and provides certain advantages, including simple operation and lower time, energy and organic solvent requirements.
Correlation matrices were compared using a Mantel's test [ 84] implemented by the freeware Microsoft Excel-addin PopTools [ 85], which compares the matrices and provides a non-parametric estimate for the significance of the correlation.
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Novel chimeric proteins combining potent angiogens with extracellular matrix binding domains may localize to exposed matrices and provide sustained activity to promote endothelial regeneration after vascular interventions.
Our results identify a critical step in the formation of collagenous matrices and provide experimental evidence for the active involvement of the N-terminal and C-terminal regions of fibrillar collagens in this process.
However, our new matrices offer several practical benefits, requiring less storage and complexity than random partial Fourier matrices and providing more parameters of M and N than chirp sensing codes.
Degradable and cell-compatible hydrogels can be designed to mimic the physical and biochemical characteristics of native extracellular matrices and provide tunability of degradation rates and related properties under physiological conditions.
This note deals with the problem of solving the generalized Sylvester matrix equation AVEVFBW-=", with F being an arbitrary matrix, and provides complete general parametric expressions for the matrices V and W satisfying this equation.
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