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Estimates are produced when data are lacking or are considered unreliable.
Similarly, individual country trends, shown as line graphs in Figure 2, were necessarily interrupted when per capita use was < 0.05 kg/capita/year or when data were lacking.
To this end, evaluations of risk for potentially emergent pathogens such as RVFV including the one presented here—are necessarily qualitative and speculative; scenario models, while useful even when data are lacking, are difficult to parameterize given poor input data.
Machine-learning system finds patterns in materials "recipes," even when training data is lacking.
Models for correlations (among, e.g., element repair costs) are proposed that may be useful when empirical data is lacking.
Therefore, modeling different phenomena by only one general equation could be particularly helpful at the nanoscale when experimental data is lacking.
In contrast, simulated evolution seems to help SMURFLite most on those structural motifs where the HHPred NEFF is lowest; i.e. it can generate diverse training data when diverse training data is lacking.
Harrison et al [ 6] have recently reported a case of superfoetation and suggested that in growth-discrepant multiple deliveries, skilled neurosonography and ophthalmic examination may be used to support the diagnosis of superfoetation when detailed first trimester data is lacking.
This study illustrates that a combination of approaches can compensate for the common situation when continuous long-term monitoring data is lacking, and improve our understanding of historic versus current insect pest abundances and the potential drivers of change.
The data is lacking.
Although plausible, direct experimental data is lacking.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com