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National Highway Traffic Safety Administration data were utilized to identify seat belt use rates.
Before the deposition, optical microscopy and Raman spectroscopy were utilized to identify the number of the graphene layers.
Three-dimensional topological data obtained by the examination of fracture surfaces using stereophotogrammetry were utilized to identify crack growth micromechanisms.
Both primary and secondary sources were utilized to identify relevant explanatory variables (drivers) and LULC datasets for the model.
The NEISS injury narratives were utilized to identify patients who were reported as sitting on the lap of another person at the time of the injury.
Both frequency domain and time domain methods were utilized to identify the actual dynamic properties of the tower as built in the site.
13C cross-polarization (CP) NMR experiments with 1H dipolar or 1H spin-lock filters were utilized to identify the amorphous or crystalline components in the materials.
In addition, gene expression profiles were utilized to identify a number of key therapeutic targets of herbal formula, such as angiotensin-converting enzyme and calcium channels.
Unsupervised and supervised clustering techniques were utilized to identify various LULC types with aid of ground information on crop calendar and the land features of the river basin.
In addition, thermoluminescence spectra (TL) were utilized to identify the moving of conduction band (CB) by monitoring the shift of the corresponding TL peaks.
In the current study, mass spectrometry-based peptide profiling strategies were utilized to identify and characterize changes in the peptidomic profiles of blood associated with myocardial infarction (MI) and heart failure (HF).
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CEO of Professional Science Editing for Scientists @ prosciediting.com