Understanding the factors that contribute to hoarding is critical for identifying treatment targets.
Greater understanding of how interdisciplinary research and education evolves is critical for identifying and implementing appropriate programme management strategies.
Determining the minimum ignition energy (MIE) of flammable mixtures is critical for identifying possibility of accidental hazard in industry.
Through various interactions, molecular recognition occurs between protein and ligand, which is critical for identifying binding partners to the binding site.
Scientific literature, archaeological research, and paleobiological evidence can be critical for identifying human presence and impact on the landscape; so, too, can geoarchaeological/geophysical analyses.
Understanding how and when animal movement behavior varies among habitat types is critical for identifying barriers to dispersal and predicting species distributions in relation to landscape features.
Characterizing the branched sub-clonal evolution of a neoplasm is critical for identifying key sub-population driver mutations promoting diversification, expansion, invasion, and eventually colonization to other parts of the body.
Freely accessible catalogues and databases of past volcanic eruptions, activity and unrest are critical for identifying gaps in current observations and for understanding the context of recent activity (e.g., Venezky & Newhall, 2007; Brown et al., 2014; Loughlin et al., 2015).
The continuous monitoring is an essential tool for understanding long term changes of such a dynamic system but is critical for identifying extreme events occurring rarely and rapidly, possibly having a drastic effect on fauna and flora.
Survey data is rife with missing information, such as gender and race, which is critical for identifying MI, and in ensuring that conclusions from large-scale testing campaigns are accurate.
Postmarketing safety surveillance can provide information based on real-world use of medical products in heterogeneous populations and is critical for identifying potentially serious adverse events, events that are too rare to be detected during premarketing studies, late complications, and events involving individuals or uses that were not evaluated in clinical trials.
