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These evaluations have likewise been very positive.
These evaluations have delivered the discussions of preparation and stability of nanofluid, theoretical and experimental studies on thermophysical properties and forced convective heat transfer characteristics of several nanofluids.
These evaluations have often been made on high-resolution screens among a small set of genes related to a specific cell function [43], or among a set of known deleterious mutations causing significant growth defects [44].
These evaluations have been described in prior reports [ 7, 10].
These evaluations have found that 1/7 of CSU was connected to the hospital pharmacy.
These evaluations have shown that influenza vaccination of children is cost-effective and may even be cost-saving [ 38, 39].
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However, since these qualitative evaluations have some drawbacks, a quantitative measure that can roughly estimate the complexity of EOP steps is imperative to compensate for them.
Some of these economic evaluations have used methods for synthesising the risk factors into a single model, which may introduce bias and complexity as they combine multiple risk factors without consideration of possible interactions between risk factors.
These community evaluations have also shown that, at least in the case of gene and protein entity recognition, machine-learning methods generally lead to better overall results when compared to other approaches such as using dictionaries or rules, and that combining different approaches in a single hybrid system or combining different systems may also help improve the final prediction.
These socioeconomic evaluations have also produced mixed findings, making it difficult to speculate as to the direction and nature of plausible health impacts.
These simple evaluations have been criticized as "opinion-level" [ 18] or "smile sheets" [ 24] and fail to address issues from participant perspectives [ 8].
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