Sentence examples for errors may be associated from inspiring English sources

Second, errors may be associated with the GPS trip data extracted from our rule-based time-activity classification model [ 36].

Kubicki and Sykes [57] were able to reproduce δ17O values in aluminosilicate glasses to within a few ppm using the B3LYP/6-311+G d,p) method, so the error here may be associated with relativistic effects due to bonding with the U atom.

Likely, this is a way finding error that may be associated with visual or spatial disorientation.

The density of B. mori Lep1s estimated from the genome sequence (1.3 × 10−5) is ∼2-fold lower than that estimated from BAC full inserts (2.5 × 10−5; Table  1), and highlights the error that may be associated with subsampling from BAC sequences.

The large prediction error for PM may be associated with different PM definitions between models and observations (e.g. size, measurement principle, exhaust/non-exhaust contribution).

Hence, the scaling of capillary pressure data from air oil to the oil gas may be associated with some errors.

The rest of the years, estimated based on Figure 1, is not cross-dated and may be associated with some errors (+/-5 years).

When chlorophyll a and primary production as variables were excluded from the 100x analysis because data derived from spectral ocean properties may be associated with large errors, especially in the nearshore system [55], overall correlation strength was reduced (rho = 0.771) driven by salinity and sea-surface temperature, with salinity remaining the most important variable (rho = 0.761).

The Interphone study, along with other studies, has found that recall of phone use even over previous months is inaccurate and may be associated with random errors, leading to overestimation or under-estimations of true usage (Parslow et al, 2003; Samkange-Zeeb et al, 2004; Shum et al, 2005; Vrijheid et al, 2006).

By using geometric mean, regions of very low expression that may be associated with assembly error were penalized.

Exposures estimated from ambient monitors for these pollutants may be associated with more error than monitor-based estimates for pollutants that are more spatially homogeneous [e.g., fine particulate matter (PM2.5; ≤ 2.5 μm in aerodynamic diameter), sulfate (SO4), ozone (O3)].