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In our effort to develop a useful model for clean-up operation requirements, we found it necessary to make a number of assumptions and simplifications.
The excessive requirements we found include such things as residency rules, extra fees, additional and unnecessary training requirements, superfluous certification exams, and prohibitions against navigators talking with consumers about the benefits offered by different plans.
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Without this requirement, we found that about 40% of the miRNA loci would contain conflicts even after imposing the extra Infernal E-value filters.
In addition to this neuronal requirement, we found that non-neuronal expression of UNC-18, in the male gonad, is necessary for the continuation of sperm transfer.
In a search for secondary studies on variability modelling and requirements engineering, we found two Systematic Literature Reviews (SLR) (Kitchenham and Charters 2007) on Variability (Chen et al. 2009; Galster et al. 2014) and two SLRs on requirements engineering within SPL Engineering (Alves et al. 2010; Neiva 2009).
When we compared blood loss and transfusion requirements with tetrastarches, we found no significant difference compared to crystalloids and gelatin.
In exploring the structural requirements among these congeners, we found an amide linkage as conducive to their FSH receptor antagonistic activity.
Analysing the association of restrictions and requirements with time until decision, we found that duration was significantly longer when any restriction or requirements did apply (p<0.01).
We applied these quality targets to our recent clinical study despite the CE Mark not sharing the same stringent requirements as the FDA, and we found that we surpassed the targets.
In the original MAQRO proposal [1], we stated a lifetime of 6 months based on the heritage from LPF. Upon considering the scientific requirements in more detail, however, we found that 6 months would restrict the amount of data to be taken too much to achieve the scientific goals.
We found minimal requirements on a data set based on how many terms the functions to be reverse engineered display.
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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