Monte Carlo method has been firstly applied to gas phase polymerization system.
The proposed method has been demonstrated firstly on a numerical beam and then a set of nominally identical steel plates tested in the laboratory.
The development of a quantitative high-throughput method has important applications: firstly, novel genetic interactions can be identified and measured quantitatively in different mutated or natural strains.
This design method has two distinct characteristics: firstly, the bolting design is not completed once for all, but a dynamic process; secondly, the design fully utilizes the information collected in every period.
This method has two major drawbacks: firstly, the false positive discovery is not reduced by choosing one optimal model; secondly, choosing one optimal models may overlook other potential GxG interactions that also contributes to the disease susceptibility.
The method has three big advantages, firstly, that within sampling error, the item parameters are not dependent on the ability levels of the sample i.e. they are sample invariant.
Firstly, the method has a low sensitivity both to slow-growing and fastidious organisms [ 5] and when antibiotics have been given prior to culture [ 6, 7].
This method has arisen from a twofold consideration: firstly, we need to directly minimise the relevant measure of performance, which is the word error rate.
For dip coating method, 19.5 g of pre-treated pumices, which had firstly placed on a wire basket was dipped to the sol for 5 10 min.
This method had possessed several advantages: Firstly, increased specificity which was contributed by the sandwich binding of aptamers; Secondly, quenching ability of AgNPs which was utilized to make signal turn-on; Thirdly, high throughout in which 96 samples could be detected simultaneously.
