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In order to visualize the uptake pathway, a fluorescent tracer 6-carboxyfluorescein diacetate (CFD) was applied to developing seeds.
Least-squares support vector machine (LS-SVM) was applied to developing the fat-content prediction model based on the infrared spectral transmission values.
Therefore, a commercially available, cell-permeable clathrin inhibition molecule (PITSTOP 2 Abcam687, AbCambridgeridge, MA, USA) was applied to developing X. laevis embryos to evaluate effects on cardiac morphology and determine whether developmental changes similar to SAS may be observed as a result of inhibition of clathrin-mediated endocytosis.
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The best subset variable selection process was applied to develop the final model.
Homogeneous Cartesian grid system was applied to develop hypothetical reservoir model.
The SMART approach was applied to develop an integrated framework for TENORM occupational exposure risk assessment.
A Box Behnken design was applied to develop the model and to predict the optimum condition.
The partial least squares regression (PLSR) method was applied to develop prediction models.
Regression analysis was applied to develop prediction equations for the estimation of blast induced ground vibration.
Multilayer neural network was applied to develop an intelligent predictive model for prediction of the logs.
Crystal engineering strategy was applied to develop new solid forms of lamotrigine.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com