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Genetic variation in the date palm germplasm has been traditionally characterized using morphological descriptors.
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These spectral components are traditionally characterized using linear Fourier theory and linear models such as transfer function [8], sympathovagal balance ([9], but see [10]) or stochastic point process [11], [12], even though they clearly could also come from nonlinear processes.
Unaligned lipid bilayers are traditionally characterized using one-dimensional P chemical shift spectral lines as they can distinguish different phases (gel, lamellar, hexagonal, cubic) of lipids and can measure the changes in the dynamics and conformation of lipid headgroup.
Self deception has been traditionally characterized as driven by motivational factors.
The genus Cellulomonas comprises facultative aerobic bacteria that have been traditionally characterized by their ability to degrade cellulose.
The influenza virus is traditionally characterized at the molecular level using the reverse transcriptase polymerase chain reaction (RT-PCR).
As previously mentioned existing feature selection algorithms are traditionally characterized as wrappers or filters according to the criterion used to search the relevant features [ 27, 28].
Several chemotherapeutic agents, such as anthracyclines, are traditionally characterized as cardiotoxic, but cardiovascular adverse events are also associated with commonly used molecular targeted therapies.
Gene flow has traditionally been characterized using protein based allozyme markers to assess the level of genetic divergence between pre-defined populations [ 13- 16].
Here, we demonstrate, how electrospray-differential mobility analysis that has been traditionally used for characterizing bionanoparticles, can be used for quantifying complex competitive adsorption desorption of oligomeric proteins or multiprotein systems using monomers and dimers of IgM as a model example onto silica and modified silica surfaces.
Hilbert-style calculi (Hilbert and Ackermann 1928) have been traditionally used to characterize logic systems.
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