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All well and good, but in these arguments we find cause for caution.
In support of internal cohesion arguments, we find that performance improves with the experience of the team.
Although many of their examples are irrelevant to our original paper and arguments, we find several areas of substantive disagreement that could be resolved by future empirical research.
In agreement with de Gennes' reptation arguments, we find that asymptotically for large polymers the diffusion coefficient D decreases quadratically with polymer length; for the cage model, the proportionality coefficient is DL2=0.175(2).
Using simple equipartition arguments, we find that the data requires either: 1. a continuous energy supply to the blast wave that increases the total energy of the emitting electrons by a factor of twenty or 2. a constant energy reservoir with time-varying microphysics.
Having considered and rejected BN's alternative noninfringement arguments, we find that Amazon has carried its merits burden with respect to likely infringement of Claim 2. We note there is some redundancy between claims 1 and 2 under the claim interpretation set forth herein.
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This debate does not lend itself easily to a Pinocchio rating, but we're going to lay out all the arguments we found, and readers can make their own judgments.
In support of these arguments, we found more strongly expressed neural activity in the M170 interval in response to inverted unfamiliar than to inverted familiar faces.
In line with these arguments, we found no significant effects of the Ito1 blocker 4-aminopyridine and the ICa,L blocker nifedipine on the dV/dtmax in cardiac myocytes.
In particular, this empirical evidence supports many of the arguments we found in the scholarly writings in our acceptability review, although these original scholarly pieces tended to be based on opinion rather than evidence [ 36, 42, 70].
Consistent with this argument, we find evidence that stock price crash risk of financially constrained firms is lower when they avoid income taxes aggressively.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com