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The correlation coefficients for the first-order model were low. Figure 2 shows both pseudo-model behaviors in prediction of the experimental data.
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I think AI will be used more in prediction of behavior and identifying prospects with the highest potential.
This review first examines the issues, difficulties and challenges in prediction of material behaviors by summarizing and critiquing the existing major analytical approaches dealing with material property modeling.
The successful implementation of near-infrared spectroscopy (NIRS) in process control of powder blending requires constructing an inclusive spectral database that reflects the anticipated voluntary or involuntary changes in processing conditions, thereby minimizing bias in prediction of blending behavior.
These findings underlined the high predictive quality of these biomarkers and pointed to a promising role in prediction of stress adaptive behavior.
The results highlight the successful application of the electrochemical depth profiling approach in prediction of the corrosion behavior of the aluminum brazing sheet and the importance of the electrochemical activity of the outer 10 μm in controlling the corrosion performance of the aluminum brazing sheet.
Thus, this effect size measures the improvement in prediction of time two behavior that is attained by adding martial arts to the regression model originally consisting only of time one behavior as the independent variable.
The nonlinear model was shown to possess a superb adaptive behavior in the prediction of zinc adsorption in the different samples as its average σRMSD was calculated to be 2.66%, which was the lowest σRMSD compared to all other models.
Multivariate linear regression analysis was used to assess the differential value of habit and previous behavior in the prediction of fruit consumption.
Although previous animal experiments on impulsivity have suggested a role of serotonin in behaviors requiring prediction of delayed rewards, the underlying neural mechanism is unclear.
Additionally, mechanical testing such as triaxial, tensile strength, and fracture toughness experiments should be conducted under high-temperature conditions, potentially in the presence of reservoir-type fluids to aid in predictions of reservoir behavior and geomechanical modeling under conditions as close as possible to those found in the reservoir. .
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