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Table 2 Factors and their values used during experiments Factor Levels 1st 2nd 3rd C Temperature (°C) 35 40 45 B Biomass (g) 0.3 0.5 0.7 A AgNO3 (mM) 6.0 8.0 10.0.
In contrast, percentage of reach deceleration time increased in conspecific touching task in both the experiments (factor task: F 1, 22) = 4.5, p<0.05, η2p = 0.2, Fig. 2).
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DOE consists of four primary classes of experimental designs: factorial experiments, factor-screening experiments, optimization experiments and mixture experiments.
As Chang (Ozcelik and Erzurumlu 2006) applied ANN in dynamic multiple response experiments, factors and nuisance factors are considered as inputs for training of the neural network.
For genetical genomics experiments, factors like population size, marker density, sampling strategy, environmental factors and screening platform used, greatly influence the outcome and the ability to detect small additive biological effects [reviewed in [ 17, 18]].
In order to test the effect of the biological and the non-biological kinematics, we compared the slopes here obtained with those calculated in the Movement Observation experiment (factor Kinematic) through a one-way ANOVA.
The experiment factor was included in the analysis (levels; Experiment 1b [ -1] vs. Experiment 2 [1]).
Experiment Factor Values: a collection of ontology terms or free text, describing a specific value for a given experiment factor type.
The experiment factor had no significant effect and did not improve LME models.
To support use of controlled vocabularies, Annotare includes the Experiment Factor Ontology (Malone et al., 2010).
Experiment Factor Types: a collection of ontology terms that describe the type of factors studied in the experiments.
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CEO of Professional Science Editing for Scientists @ prosciediting.com