Exact(3)
In the present work, a material model development approach and transient non-linear dynamics simulations of the projectile/armor interactions are employed to explore the role of multi-walled carbon-nanotube (MWCNT) reinforcements in improving the ballistic-protection performance of poly-vinyl-ester-epoxy matrix (PVEE /E-glass fiber matrix reinforced laminate armor.
The p orbitals are distributed on the Ph rings in PMPSi and it seems reasonable that π π interactions are employed during geometry arrangement and stabilization.
According to our results, π π interactions are employed gradually with an increasing ω and they reach maximum in OMPSi which have ω constrained to 160° and 170° and then their strength again decreases.
Similar(57)
Avidin biotin interactions were employed for immobilisation of the enzyme on the surface of the BLM.
A L16 orthogonal array with the six factors of control at two levels each and three interactions was employed.
Different assumptions regarding rate-limiting factors and basic substrate enzyme interactions were employed to develop and validate these models.
A secondary lattice concept of specific interactions was employed to correlate binary water/PNIPA solutions, and composition dependence of the energy parameter was adopted to describe the co-nonsolvency of the ternary solutions.
For training, a domain specific database of the HIV-1 human protein interaction database containing two types of interactions, protein interactions, and human gene knock-downs (replication interactions) was employed.
In this work, 3D-QSAR combined with quantitative profile of protein ligand interactions was employed in the identification and characterization of critical steric and electronic features of aromatase-inhibitor complexes and the estimation of their quantitative contribution to inhibition potency.
In addition to the combined interaction datasets from DIP, BioGRID, MINT and IntAct, two manually curated datasets of literature-derived interactions were employed.
As in Strategy 1, neither predictor variable selection nor specification of predictor variable product interactions were employed to magnify differences and facilitate comparisons between the algebraic logistic classification (Strategy 2) vs. non-algebraic classification tree models (Strategy 4).
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