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Using longitudinal network models, we analyze the interplay between social network position and the experience of pain.
By compiling macroscopic models we analyze the adaptive behavior in a swarm of autonomous robots generated by a bio-inspired, distributed control algorithm.
Using the proposed analytical models, we analyze the performance of BEB and IB in terms of channel efficiency, channel access delay, and energy efficiency under the saturation and nonsaturation traffic conditions.
Through newsvendor type of models, we analyze several key issues, including the effects of the manufacturer's loss aversion, and the effects of demand and spot price uncertainties on the manufacturer's decision behaviour.
Using the proposed engineering models, we analyze trajectories and space-time diagrams of railway traffic flow, calculate and compare the minimum departure interval under different conditions, and discuss the effect of the proportion and the departure sequence of different trains on mixed traffic flow.
Guided by insights from these descriptive hierarchical Poisson models, we analyze the simplest population-genetic model of the neutral coalescent with an explicit accounting for heterogeneities in both mutation and recombination rates.
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To validate the proposed models, we analyzed the heavy oil sand data from Xinjiang Oil Field of China.
To provide a better comparison of our proposed model with the other existing models, we analyzed Phase I as well as Phase II system test data in this section.
To illustrate the applicability of these hierarchical mixing models, we analyzed stable isotope data collected from a gray wolf population from coastal British Columbia, Canada.
This may compromise the construct validity of the models we analyzed.
In order to differentiate these two models, we analyzed the MTs concentration in the dendrite and axon.
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CEO of Professional Science Editing for Scientists @ prosciediting.com