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Sakya's definition is based on three reasons.
In this study, we try to implement active learning by using extreme learning machine (ELM) classifier based on three reasons as follows: (1) ELM has light computational costs, (2) ELM has strong generalization ability which is even comparable with support vector machine (SVM) and (3) ELM could be directly applied on both binary-class and multiclass problems.
The decision to stop EVAR was based on three reasons.
The present study was performed based on three reasons, namely: i) the previous reports on the anti-inflammatory and antioxidant activities of D. linearis leaves; ii) the reports linking the anti-inflammatory and antioxidant activities to the hepatoprotective mechanism [ 3, 18, 19], and; iii) no scientific report to date to prove on the hepatoprotective potential of D. linearis leaves.
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The choice was based on two reasons: 1.
While cost is important, the interview participant stated that a certain cloud service provider was decided based on two reasons: First, the participant had never experienced any service failures at all during the contract term, and second, the provider offered a 100%% assurance that there will be zero virus.
Our choice of I-124 for labeling was justified based on two reasons: (1) concerns that using residualizing radiometals such as Zr-89 would result in higher liver background, as has been found with other radiometals (In-111 and Lu-177), thus lowering tumor-to-normal liver contrast, and (2) the slow internalization rate of GPC3 when targeted by a radiolabeled antibody [17, 18].
The effect of different ratio of light/dark region was not investigated in this study based on two reasons; (1) Increasing the light/dark region may not feasible due to space constraint, LED heat issue and cost factor, (2) Decreasing the light/dark region may effect to the microalgae growth due to lack of light by reduction of SVR. Figure 1 shows the schematic view of the PBR.
MLSE's strategy in choosing "Toronto FC" following this process was based on two reasons.
MiR-152 was chosen as the endogenous control for normalization across different samples based on two reasons: 1) the level of miR-152 does not change during erythroid differentiation [14]; 2) has-miR-152 showed the least standard deviation (Stdev = 0.68) across 40 tissues in a global microRNA profiling study using 210 microRNA TaqMan assays (Applied Biosystems, unpublished data).
The decision to adopt EVAR was based on two reasons.
More suggestions(18)
based on three concerns
based on three cornerstones
based on three types
based on three trials
based on three approaches
based on three sets
based on three replicates
based on three levels
based on three models
based on three sources
based on three items
based on three lines
based on three questions
based on three factors
based on three assumptions
based on three variables
based on three data
based on three metrics
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com