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The predictive validity of the model was assessed by comparing predictions from the model with available epidemiological data on incidence and mortality of cervical cancer and genital warts in Germany [11, 30].
The validity of the model is established by comparing predictions from numerical analysis with measured data in fire test.
The validity of the approach is established by comparing predictions from the proposed equation with data generated from fire tests and finite element analysis.
The validity of the approach for different types of concrete is established by comparing predictions from the proposed equation with data from fire tests and finite element analysis.
The validity of the model is established by comparing predictions from the program with data from full scale fire resistance tests on FRP-strengthened RC beams.
The validity of the approach in evaluating shear capacity of fire exposed steel and composite beams is established by comparing predictions from the proposed approach with results obtained from finite element analysis and fire tests.
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Numerous attempts have been made to validate these methods by comparing predictions with experimental data from diverse sources ranging from in-pile irradiation tests to operating HTGRs.
They have been tested by comparing predictions to validated binding sites from published primary literature, and to any splice-altering variants found within them.
A specific aim of the study is to test the predictive capacity of NASTENV's new turbulence model by comparing predictions with the wind data obtained from US EPA's wind tunnel experiment RUSHIL, on the flow structure over isolated two-dimensional hills.
The best database for secondary structure prediction was evaluated by comparing predictions using the NCBI nr database, uniref90, and Pfam-A for one candidate alkane hydroxylase against predictions obtained from an intensive 3-D structural prediction model using Phyre2 [ 38].
The predictive value of biclustering in the prediction of early relapse of disease was observed by comparing prediction of conditional inference tree models constructed from clinical covariates with those constructed from a combination of clinical covariates and biclusters.
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by simulating predictions from
by combining predictions from
by comparing changes from
by comparing results from
by comparing scores from
by comparing benefits from
by comparing observations from
by comparing PARs from
by comparing means from
by averaging predictions from
by comparing gels from
by comparing outputs from
by including predictions from
by comparing findings from
by comparing reports from
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com