A number of the studies used metrics from the QMOOD metric suite (Mohan et al., 2016; O'Keeffe & Cinnéide, 2007b) or the quality attributes constructed by (Bansiya & Davis, 2002) using their QMOOD suite (O'Keeffe & Cinnéide, 2006; O'Keeffe & Cinnéide, 2008a; O'Keeffe & Cinnéide, 2007a; O'Keeffe & Cinnéide, 2008b; Simons et al., 2015; Ouni et al., 2015; Wang et al., 2015; Morales et al., 2016).
In order to take this into account we also matched the force-pCa (F- pCa) relationships of the two models, using metrics from simulations run with fixed Ca-concentrations as additional model characteristics to constrain parameters.
Publications from the work hadn't had time to build a substantial citation record, says Groth, so he used metrics from ImpactStory to demonstrate the influence of the work in progress.
Drake et al. [37] used metrics from large-footprint LiDAR and modeled plot-level biomass with r2 = 0.93 for a 1, 536 ha area in Costa Rica stocked by primary and secondary wet tropical forest, abandoned pasture and plantations, and agro-forestry.
Finally, we mention that a recent work used metrics from graph theory on whole-brain tractography and found a RH > LH asymmetry for measures of global efficiency and interconnectivity, as well as for regional measures of betweenness centrality, or relative importance of several brain regions for the connectivity of the whole network [Iturria-Medina et al., 2011].
Drake et al. [ 37] used metrics from large-footprint LiDAR and modeled plot-level biomass with r2 = 0.93 for a 1, 536 ha area in Costa Rica stocked by primary and secondary wet tropical forest, abandoned pasture and plantations, and agro-forestry.
Analysis of the deposit pattern using metrics defined from the particle distribution on the target surface is provided to characterize the deposition efficiency, deposit size, and scatter due to collisions.
The scaffold diversity can be measured using metrics obtained from the cyclic system recovery (CSR) curves such as area under the curve (AUC), the fraction of scaffolds to retrieve 50% of the database (F50), or other metrics.
One of the challenges is the creation of a prediction model that is able to predict the results of a listening test while using metrics derived from the sound stimuli.
The stratification intensity at each sampling location was quantified using metrics derived from the salinity and temperature profiles.
