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Prediction based on modeling and simulation is extremely difficult and potentially error prone.
Because this procedure is potentially error prone, and may lead to contamination of sterile replacement fluid, an alternative strategy is intravenous infusion of hypotonic fluid (for example, 5% glucose).
Current next-generation sequencing technologies such as the Illumina platform used here have a high base-calling error rate, perhaps 1%, and have the additional feature that the short reads obtained need to be mapped to the reference sequence; this feature is potentially error prone for non-unique sequences.
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Institutional pharmacies ship medication to nursing homes in "bingo cards" containing a month's worth of pills that nurses pop out and dispense a tedious, potentially error-prone process.
When the client organization has no experience in RAs, these data need to be estimated, which could be potentially error-prone.
The current practice relies on the engineers' experience in planning mobile crane operation, which is a tedious and potentially error-prone process.
DSBs can be repaired by different repair mechanisms, including error-free homologous recombination (HR), potentially error-prone non-homologous end joining (NHEJ) and the highly mutagenic alternative end joining (alt-EJ) pathways.
Cells have evolved two main repair pathways to suppress the formation of these genotoxic lesions: homology-dependent, error-free homologous recombination repair (HRR), and potentially error-prone, classical, DNA-PK-dependent non-homologous end-joining (c-NHEJ).
Currently, this is usually done on an ad-hoc basis, which is potentially error-prone, or for simplicity the whole application is deployed on a single cloud, so removing the possible performance and availability benefits of exploiting multiple clouds within a single application.
We address this challenge (at least partially) using OWL ontologies and SWRL rules, since these provide sufficient expressivity to define adaptation policies [42], while at the same time avoiding the potentially error-prone and intensive task of implementing our own analysis engines from scratch.
On the other hand, model casting, i.e. impression and settling of casts may hide potentially errors, and such likelihood should not be underestimated [23].
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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