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The effect of these elements on the transduction efficiency and transgene expression was systematically evaluated.
These results are discussed in terms of the effect of these elements on the surface acidity.
The additive effect of these elements resulted in compound 46, an inhibitor with enzymatic (IC50) and cell culture (EC50) potencies of less than 100 nanomolar.
Particularly, recent advances made in fabricating dense biomaterials and scaffolds doped with trace elements (e.g. Zn, Sr, Mg, and Cu) and investigations on the effect of these elements on the scaffold biological performance are summarized and discussed in detail.
In this study the uses of higher order crack tip elements are discussed and a higher order displacement discontinuity method is used to investigate the effect of these elements on the accuracy of the results in some crack problems.
Each of these elements interacts with the others, and it is the synergistic effect of these elements that we believe can allow productive disciplinary learning to emerge.
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The short-term (one-time) nature of biosolid application in these experiments may have contributed to the lack of a significant effect on these elements.
Knowledge of the thermal properties, including heat conduction and thermal radiation effects, of these elements is necessary for designing high temperature applications.
Diagonal struts, under tension and compression were employed on the cross-laminated walls to investigate the effects of these elements on the lateral resistance of the wall.
The influences of alloying elements (Cr, Mo, W and Ni) on the repassivation kinetics of Fe Cr stainless steels were quantitatively examined by the effects of these elements on the slope, and both the protectiveness of the passive film and the stress corrosion susceptibility of the alloys were discussed in terms of the value of the slope.
The current study empirically examines the effects of these elements, using a 2 (recommendation approach: content-based vs. collaborative-based, within)×2 (dimensions used to generate recommendations: 6 vs. 30, between)×2 (product type: experience products (fragrances) vs. search products (rugs), between) Web-based study (N=80).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com