With BPPG, best results were attained using 0.10 mol L−1 H2SO4 as supporting electrolyte, whereas with BDD and a-CNx, this was attained using a 0.040 mol L−1 BR buffer (pH 4.5).
The present study aims at identifying different materials as well as the feasible locations, where a particular temperature field can be attained using a flat-plate solar collector.
Complete removal of the native Ta2O5 can be attained using a saturated KOH solution that is assisted by an anodic voltage.
Optimisation of the sensor design, the modifier content and the immobilisation and hybridisation times was attained using a simple nucleotide sequence.
Reasonable control of the polymerization of these monomers was attained using a trithiocarbonate-type chain transfer agent (CTA), producing poly N-vinyl-1,2,4-triazolium bromide)s with controlled molecular weights (Mn,SEC > 20000) and low Ð values (Mw/Mn < 1.1).
Baseline resolutions of enantiomers of five basic chiral drugs (namely, darifenacin, citalopram, sertraline, propranolol and metoprolol) were attained using a background electrolyte composed of water:methanol (90 10, v/v) and consisting of 10.7 or 16.1 mM CS at 20 °C using an applied voltage of 5 kV.
Fluidized depths of up to 1.9 m in the saturated zone (with refusal on a peat layer) and 2.5 m in the unsaturated zone (no refusal) were attained, using a 1.9-m-long, 50 mm diameter jet operated at 5 13 l s−1.
High levels of porosity (75 90%) and HA whisker reinforcement (0 40 vol.%) were attained using a powder processing approach to mix the HA whiskers, PEKK powder and a NaCl porogen, followed by compression molding at 350 375 °C and particle leaching to remove the porogen.
Such performance is attained using a k-NN classifier that employs a large number of features ( angular radial transform coefficients) that are able to represent, with high level of reliability, the very complex shape of the extracted symbols.
Our results show that the best predictive performance is attained using a combination of the original dataset with added features from a "standard" supervised discretization algorithm and D-MIAT.
