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This paper compares two fundamental methods for predicting the OSI.
We present a direct comparison between two fundamental methods of chemically doping the 2-dimensional graphene sheet: (1) passivation of dangling σ-bonds resulting from a vacancy defect and (2) charge transfer from adsorption on the pristine basal plane.
There are two fundamental methods for probabilistic reliability evaluation: state enumeration and Monte Carlo simulation [2, 26].
Incremental learning [3] and ensemble learning [4] are two fundamental methods in learning from big stream data with concept drift.
Two fundamental methods of applying distalizing forces are reported in the literature: a tooth-by-tooth distalization or an en masse distalization.
Comparative analysis of composition and comparative testing in animal feeding trials are still the two fundamental methods in use for assessment of substantial equivalence of products from herbicide-tolerant crops and other genetically modified biomass intended for consumption.
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There are two main fundamental methods for estimating productivity losses at market price due to morbidity and mortality: the HCA and the WTP approach.
This selection is based on two fundamental reasons: First, these methods belong to implicit category that extracts learners' characteristics in unobtrusive way without disturbing learners (such as by asking them to answer a long questionnaire) or endanger their motivation.
However, assessment results are biased because these methods share two fundamental problems.
The method has two fundamental parameters; generic error probability (GEP) and error-producing conditions (EPCs).
Reflecting on the shortcomings of these methods, we go on to propose a novel PD method that leverages two fundamental qualities of serious games domain expertise and procedurality to scaffold players' existing knowledge and make co-design of serious games an attainable goal.
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