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Results from performance data in mechanical showed that intermolecular interactions varied with varying chitosan content in the fibers.
Second, forager activity patterns as a consequence of forager-farmer interactions varied between sites and across the landscape.
The rating for the different IVIS interactions varied considerably across vehicles, from a low rating of 2.37 to a high of 4.57.
The strength of non-bonded interactions varied from −13 to −71 kJ/mol with Ala as the weakest and Trp as the strongest interacting amino acids.
Although the free energies were very similar for all four configurations (∼28 kBT (Eyring model) and ∼20 kBT (Kramers model)), the enthalpy changes of binary Sx1A-Sb2 interactions varied between 24.7 kBT and 33.1 kBT.
To assess whether the four significant gene-gene interactions varied by sex, three-way interaction terms were added to each model (sex x genotype1 x genotype2), along with the appropriate lower order effects (i.e., the main effects plus the following two-way interactions: genotype1 x genotype2, sex x genotype1, and sex x genotype2).
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The most pressing empirical questions are: How do different pathogens interact with host immunity, and how do these interactions vary within host populations?
The reported results support the conjecture that the ribosomal exit tunnel interacts with various amino acids and that the nature of these interactions varies among different organisms.
However, they intermolecular interactions vary considerably.
The interactions vary from simple up or down votes to links, embedded videos, audio tracks and much more.
These within-family interactions vary with sibling sex composition (Butcher and Case 1994).
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