To investigate the effects of temporal compositing, BRDF-adjustment, and base pair timing on the accuracy of the resulting synthetic imagery, we employed a range of MODIS 500 m surface reflectance datasets (daily, 8-day composite, and 16-day Nadir BRDF-Adjusted Reflectance (NBAR)) as well as initial Landsat/MODIS imagery pairs from opposite ends of the growing season.
In summary, we employed a range of dependent measures drawn from the Wiimote's movement and accelerometers.
We employed a range of different inputs: hospital diagnoses, primary care diagnoses, primary care prescriptions and combinations thereof.
Lastly, we employed a range of metrics, including presence, size and structure to annotate novel independent ncRNAs within intergenic regions.
Thus, rather than using a single definition for small dSpikes, we employed a range of definitions; then for each definition we compared the control and low TTX conditions.
We employed a range of biochemical, spectroscopic and imaging techniques to investigate the impact of dilute acid/Fe2+ ion pretreatment on the resultant digestibility of model cellulose substrates.
To examine the structural features of VPA that affect fatty acid regulation, we employed a range of compounds related to VPA with varying carbon backbone and side chain length, head group, and saturation.
To investigate the mechanism of VPA-induced fatty acid accumulation in Dictyostelium, we employed a range of pharmacological inhibitors of fatty-acid-turnover enzymes to attempt to phenocopy the effect of VPA.
We employed a range of tests to obtain complementary views of the evidence for selection: we determined whether the risk allele at associated 'index' single-nucleotide polymorphisms is derived or ancestral, calculated the integrated haplotype score (iHS) and assessed the population differentiation statistic fixation index (FST) for 17 type 2 diabetes and 13 obesity loci.
Although a too large value of CRE bias for the eICIC scheme is unfeasible, we employ a wide range of CRE biases to investigate the performance trend.
