Sentence examples for modeled predictions of from inspiring English sources

Exact(6)

One potential limitation is the use of modeled predictions of ambient air concentrations of HAPs (i.e., the ASPEN model), which may have resulted in exposure misclassification.

A potential limitation of this study is related to the exposure assessment, which relied on modeled predictions of ambient air levels of BTEX (i.e., the ASPEN model) and may have resulted in misclassification.

Based on the modeled predictions of Allison and collaborators [ 31], we might expect that the adaptation responses we observed in N. discreta would lead to a mitigation of soil carbon loss.

Current measurements of surface ocean pH have revealed decreases that are in accordance with modeled predictions of a pH decline of at least 0.3 units corresponding to atmospheric p CO2 of 650-970 ppm by the year 2100 [ 1– 6].

In the present study, we identified 30 sites where modeled predictions of exposure to steroidal estrogens, NPs, and hormonal activities in the receiving environment could be made and where fish were also captured.

Although household ownership of ITNs increased substantially during 2004 2010, our modeled predictions of transmission intensity failed to provide any persuasive evidence of a change in the mean predicted prevalence over this period.

Similar(54)

Experimental results are compared with two sets of modeled predictions; one model considers the propagation of a spherically expanding flame using a reduced mechanism, and the second considers a one-dimensional flame using a full kinetic scheme.

Calibration does not, however, account for or correct potential misspecifications in the model structure, limiting the accuracy of modeled predictions.

The combination of experimental data and modeled predictions show a strong relationship between the dose of formaldehyde in tissues of the nose and resulting nasal tumors in rodents.

During this process, we evaluated the accuracy of our modeled predictions by comparing them to observed deforestation.

Second, systematic error (or directional disagreement among modeled predictions) is detectable for 4 out of 41 species among the different inventories: Calocedrus decurrens, Pseudotsuga menziesii, and Pinus ponderosa, and Abies concolor.

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