Sentence examples for generating ais from inspiring English sources

The voxels entered into this analysis were chosen, from those used for generating AIs in Figure  6 (408, 408, and 218 voxels from Subjects 1, 2, and 3, respectively, across all 4 visual areas), based on the following criteria.

The voxels used for generating AIs were a portion of voxels selected from the scan without color adaptation.

Once data were generated, AIS was used to analyze simulated data sets using the Genetic Landscape Shape procedure.

Furthermore, instead of using dedicated trauma registrars, some registries use computer programs that automatically generate AIS codes from a patient's ICD-9 codes.

The axon initial segment (AIS), located within the first 30 μm of the axon, has two essential roles in generating action potentials and maintaining axonal identity.

This process increases search space coverage, by generating detectors which wrap tighter around non-self hypothesis space for self detector set generation and self hypothesis space for standard AIS and non-self detector set generation.

pEGFP vectors expressing AR harboring the various AIS mutations were generated by replacing an EcoRI-Pvul cDNA fragment encoding the LBD of pEGFP-AR by the same fragment of pAR-F764L, pAR-R840C, pAR-P766S expression vectors.

The β-coefficients from the multivariable regression model were used to generate scoring system of the AIS-GIB score (Table  3).

With an appropriate choice of process parameters single-phased iron boride layers up to 10 μm of type Fe2B were generated on steel 42 CrMo 4 (AISI 4140) using a borane triethylamine complex as a precursor for gas boronizing and trimethylborate for plasma-assisted boronizing.

The analysis was done in HeLa cell lines stably transfected with wild type or mutant ARs fused with green fluorescent protein, or using AR immunofluorescence in primary cultures of genital skin fibroblasts generated from foreskin biopsies of historical AIS patients, or of normal neonates undergoing circumcision at birth.

Independent predictors of in-hospital GIB were obtained using multivariable logistic regression in the derivation cohort, and β-coefficients were used to generate point scoring system for the AIS-GIB.