Using the full potential linearized augmented plane wave method, we explored the structural and magnetic properties of hybrid bilayer FeCo/FePt.
By applying the "Futures Wheel" method we explored how individuals think future energy policy measures would impact their lives (consumer-perspective).
To further optimize and streamline the lysate prep method, we explored the possibility of eliminating a nuclease treatment step that was included in the original protocol in order to reduce contaminating host DNA.
As auxiliary tools for this method, we explore some properties of uniformly continuous (Stepanov-like) pseudo almost automorphic functions.
To overcome the drawbacks encountered with the previous method, we explore the application of the Rao-Blackwellization method in this section.
In this section, by using the Riordan and generating functions method, we explore relationships between these numbers, the G n ( k ), s ( n, k, r ), S ( n, k, r ), B n ( k ) and C n ( k ).
Since FPP fabrication of complex three-dimensional structures containing components having different material characteristics would greatly extend the practical utility of this method, we explore the influence of nanoparticle (silica, titania, and multi-wall carbon nanotube) additives on FPP front propagation.
By applying the method of hierarchical cluster analysis with the Ward method, we explore the pattern of the respondents' answers.
As a first alternative, the r × t - method, we explore the entire r × t-space and seek the optimum in that space.
To evaluate the method, we explore the performance with a simulated data set, that is, generated from random networks with different number of samples and nodes and expected number of edges per node.
In order to obtain more realistic estimates of performance of MHC-II binding peptide prediction methods, we explored several methods for constructing similarity-reduced MHC-II datasets.
