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Based on biological considerations, system (1) will be studied in the following region: Omega=biggl{ (S, L, I in R^{3}_Bigm|Sgeq0, Lgeq0, Igeq0, S+L+I leqfrac {Lambda}{1-p}biggr}.
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Due to welfare consideration, systems with loose-housed sows instead of system with crates/stalls for the sows have become common, at least for non-lactating sows.
The target product profile needs to take into consideration systems issues like price, how the vaccine will fit into the routine schedule, its cold chain capacity requirements and other programmatic practice considerations.
The considerations in system and flow cell design, and factors that influence the determination performance are discussed.
Given these considerations, the system may find application as a tool for high-resolution functional imaging in dermatology.
Based on these considerations, quantitative system drift is likely to be important, not only for neutral phenotypic evolution but also for the de novo evolution of biological form.
Moving forward with in vitro-based models for building genomic predictors, several important considerations regarding system design and prediction accuracy must be addressed.
Note that the expression above takes into consideration the system model from (1).
Some of them are motivated by general considerations regarding systems applied in the medical ambit.
The optimal components design for grid-connected photovoltaic-battery systems should be determined with consideration of system operation.
Furthermore, the Monte Carlo (MC) simulation method is utilized to compute the DFT model with consideration of system replacement policy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com