Sentence examples for based extension from inspiring English sources

More so than canceled contracts, this is an area where research based extension information can prolong survivorship.

The curve between Wed and Pratio represents a change in the droplet break-up mechanism from spontaneous to shear based (extension) for each sieve (depending on ingoing droplet size) and between different sieves (in terms of efficient energy usage).

In the first line of experiments (by-hand selection) we use only two data sets for our analysis, in line two of the experiments (data mining based extension) we use ten data sets from the Directory of useful Decoys (DuD) [10] as well as 25 ChEMBL activity class data sets [11].

For the kanamycin based extension by recombineering using pBALU-ext the procedure is shorter.

In order to determine whether a single nucleotide polymorphism typing protocol based on single based extension (SNaPshot™) could produce reliable phenotypic data from historic samples, we genotyped three coat colour markers for a sample of historic Thoroughbred horses for which both phenotypic and correct genotypic information were known from pedigree information in the General Stud Book.

In this technique, antisense DNA oligonucleotide sequences are used to probe for miRNAs and upon binding miRNAs serve as primers for Klenow enzyme based extension.

Analytic image methods for AM-FM demodulation are based on providing a Hilbert-based extension of the ID Hilbert-based demodulation approach.

Based on these experiences, SWC contests are undeniably a very promising tool for farmer-based extension strategies, and for achieving fast and widespread sustainable impact in natural resources management.

In addition, we stop the dynamic programming-based extension if no feasible solutions can be found for the current seed after having analyzed at least f fragments (default of five).

Based on the observation that the Gram-like matrices in (8) are formulated using the dot products, Multifactor Kernel PCA (MKPCA), a kernel-based extension of MPCA, was introduced [10].

We present this model based on an indirect encoding Genetic Algorithm which builds Augmented Transition Network controllers, and we compare it with different Learning Classifier Systems, namely XCSM (a memory-based extension of the most studied Learning Classifier System, XCS) and ACS (an Anticipatory Learning Classifier System).