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However, under cognitive load (Experiment 1b), no such preference was expressed.
The heat load experiment on the STB armor mockup confirms feasibility of the temperature control and mechanical joining.
Memory load was unlikely to be the underlying mechanism, as individual differences in working memory span did not predict optimal choice in the sequential condition (which places a greater memory load; Experiment 5), and manipulations of memory load did not reduce the benefits of simultaneous presentation (Experiments 6a 6c).
This co-simulation method was verified based on the 20-m simply supported beam dynamic load experiment of a test line.
The method of co-simulation is verified through the test experiments on a 20-m simply supported beam dynamic load experiment test line.
Figures 4, 5, 6, 7, and 8 show the results for the training of previous half-year's data traffic load for the prediction of the subsequent half-year's data traffic load (Experiment A1).
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Secondly, a kinetic-dispersive model is calibrated using gradient elution and column load experiments.
One of the most important issues is the deformation analysis within load experiments.
Whereas, the high load experiments showed different damage behaviour under unlubricated and lubricated conditions.
A particular advantage is the ability to continuously monitor and interact with LoaD experiments, overcoming the limitations of stroboscopy.
To estimate the thermal behaviour, heat load experiments were performed in the high heat flux ion beam facility MARION.
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