To clarify which subpopulations of lymphocytes were infected by BLV at subclinical stage, we used the BLV-CoCoMo-qPCR method, which enabled us to demonstrate that proviral load correlates not only with BLV infection capacity, as assessed by syncytium formation, but also with BLV disease progression.
When the analyses included the 2-cell stage, we used 500 bp tiles as bins to calculate the average methylation level.
In an initial stage, we used three complementary methods, ground penetrating radar, multifrequency electromagnetic induction and dipole dipole electric profiling, to increase the possibility of detecting the structures of the Fort whose physical properties were expected to be similar to those of the surrounding soil, as they were constructed with raw earth probably extracted from it.
At this stage, we used one conformation per molecule.
In the first stage, we used the high-dimension CWT-F0 features for prosody features training.
During the first selection stage, we used the search string in the Compendex and Scopus search engines.
At this stage we used the statistical models that were created with the inclusion of urban audio data.
In the first stage, we used a computation which could be evenly divided over the 8 available cores; in the second stage, it could not.
When there was more than one school in a certain education stage, we used the grade of the first school enrolled in this stage.
In the next stage, we used the Cox's proportional hazards model to evaluate the association between REMS and WPS and mortality risk.
In this stage, we used a Q-learning-based self-configuration scheme to configure the FBS's power and work channel according to the environment in public femtocell networks.
