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We also carry out experiments using Twitter data on which we further study the performance of our strategies and verify the modeling assumption made in the context of the decentralized one.
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The purpose of Part II is to validate and verify the model.
Experimental data of isolated, first order effects were used to calibrate and verify the model.
One-Step-Ahead (OSA) and Model Predicted Output (MPO) prediction tests are used to validate and verify the model.
Inverse modeling, via UCODE-2005, is utilized to calibrate and verify the model to experimental data including aqueous and mineral chemistry.
To develop and verify the models a large database that covers the complete range of potential input conditions was assembled.
Water velocities measured in the ridges and sloughs over a 3-year period were used to calibrate and verify the model.
While word problems are often considered closed tasks that usually involve simplistic responses, problem solving and explorations gravitate toward mathematical modeling that require students to analyze a given situation, build model, and verify the model before applying it.
Routine sampling and analysis should continue, nevertheless, as such data should be used to continuously validate and verify the model.
In such cases, it will be necessary to assume different transcription factor activation profiles and verify the model prediction by comparing the predicted fluorescence intensity profiles with the experimental data.
We constructed for each individual subject the following statistical contrasts: SS vs. SE (to compare with the first GLM and verify the model); pSS vs. pG; pSE vs. pG; pSS vs. pSE (to evaluate post-error processes); and pSSi vs. pSSni, and pSEi vs. pSEni (to identify activations associated with post-conflict and post-error adjustment in RT, respectively).
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