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Parameter estimation was accomplished by fixing values of porosity and in-solution inactivation.
Size estimation was accomplished by starving D. caveatum 107 cells/mL in SorC in dialysis membranes (Spectrapore) of different pore sizes.
Estimation was accomplished by the method of Kaplan-Meier.
Parameter estimation was accomplished using the lme package in R, with maximization of the restricted log-likelihood.
Its estimation was accomplished by measuring the intensity of the corresponding bands in SDS-PAGE gels stained by Coomassie brilliant blue.
The extension of GiA Roots to include 3D trait estimation was accomplished as follows: (i) A new series of algorithms were written in C++ following the protocol for APIs (see Manual). (ii) The algorithm was compiled as a library.
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Basal area and volume estimation were accomplished through MLR analysis.
The pose estimation is accomplished in two steps.
The distributed fusion estimation is accomplished in two phases.
Performance prediction process with channel estimation is accomplished according to the following steps.
All of the behaviors, such as synchronization and channel estimation are accomplished by TSMQ.
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