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Taken together, these results suggest that silk matrices are particularly suitable biomaterials for ESC encapsulation and for the design of adenosine releasing bioincubators for the treatment of epilepsy.
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So knowing the information of derivative matrices is particularly important.
In order to provide the understandings of the findings, the interfacial interaction energy, RDF values between graphene and polymer matrix are particularly calculated and discussed.
The polydimethylsiloxane-based composites (4.5% wt) with electrical conductivity enhanced by ∼16 orders of magnitude and thermal conductivity double that of pure matrix are particularly promising for use in bio-integrated devices and flexible composites.
The effects of these parameters on Fp as well as the estimation of the average position of excitons within the luminescence matrix are particularly important for the further optimization of the luminescence properties of the active matrix.
The biofilm-associated infections, when the cells form highly organized heterogeneous clusters embedded in polysaccharide matrix, are particularly dangerous and difficult to treat due to the increased resistance of the biofilm to the antifungal drugs [ 6, 9].
This matrix is particularly used to find combined system first natural frequency and mode shape.
The application of the I-matrix is particularly essential for some places requiring a high quality of illuminance, such as an operation room, a cockpit, etc.
In those specimens, identification was a bit more challenging, but the presence of calcareous corpuscles in the somatic matrix was particularly helpful in establishing that the organism was a larval tapeworm.
Furthermore, genomic relationship matrices (GRM) are particularly advantageous when pedigree relationships are not available for some individuals and/or when the recorded pedigree information may contain errors (Muñoz et al. 2014a; Speed and Balding 2015).
Short carbon fiber cement-matrix composites and continuous carbon fiber polymer-matrix composites are particularly effective for structural self-sensing, with the attributes sensed including strain, stress, damage and temperature.
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