Sentence examples for it was further possible from inspiring English sources
Because D. pulex harbors substantial nucleotide diversity, it was further possible to use gene phylogenies to assess the polarity of intron gains and losses.
Using disrupted concordance from SCEs as a genetic distance indicator, it was further possible to infer the relative orders of the contigs present in each linkage group.
It was further possible, using cut-off points of 32 g l-1 and 136 mmol l-1 for albumin and sodium respectively to define prognostic categories for patients who differed significantly in terms of survival.
Based on the detailed process analysis, it was further possible to identify the enzyme yield, the glucose conversion efficiency, and the mass losses between the unit operations as key process parameters, exhibiting a major influence on YEthanol-Process.
By employing [Ca2+]i variation as an indicator for the presence of Ca2+-related receptors in these cells, it was further possible to demonstrate that the mature phenotype of GL15 cells is associated with different agonist-receptor systems.
injection of 0.05 ml 5% fluorescein isothiocyanate (FITC -labeled dextran 150,000 (Sigma-Aldrich, TauFITC -labeledmany) into the retro-orbital plexus, it was further possible to visualize the newly dextraning microvessels within the grafts and the surrounding host microvasculature by intravascular staining of the plasma.
If we add the pool to the system, it is further possible to improve the water management of the building.
It is further possible to estimate the velocity vector of other WLAN-enabled vehicles by analyzing their consecutive beacon signals.
It is further possible to define the fracture criterion as a Gauss-distributed stochastic parameter to allow for heterogeneities in the cast material.
It is further possible to calculate the required input power levels and provide design criteria to optimise the design of the microreactor.
By including an error model for experimental data, it is further possible to use nonlinear statistical concepts to test a given model for adequacy against experimental data and prior knowledge, and to place realistic confidence limits on the resulting model parameters.
