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In order to apply SA in structural optimization efficiently the number of finite element analyses (function evaluations) has to be reduced as much as possible.
To integrate statistical analyses, function prediction, and gene network, we designed the CR-GWAS strategy.
Next we wished to explicitly test the hypothesis that the brain regions identified in the analyses function as network hubs.
We utilized males that co-expressed the Ca2+ sensor G-CaMP and the mDsRed fluorescent proteins to determine if cells, previously implicated through connectome wiring and laser-ablation/behavioral analyses, function during spicule penetration, sperm transfer, and post ejaculation behaviors (Nakai et al., 2001; Tian et al., 2009; Correa et al., 2012).
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Our present analyses functioned at two levels: within the repABC operon and between repABC operons in those cases where several repABC operons coexisted in the same genome.
The analyse function was used to calculate the stained area.
The image was cropped and desitometrical analysis carried using the 'Analyse' function.
The process of this method is to analyse functions of current products, and then re-compose these functions by morphological chart after adding expected new functions.
The methodological approach included oral administration of questionnaires, medical examinations, laboratory analyses, pulmonary function testing, and measurements of visual function.
This is by design and allows for consistency across analyses: // function signature $analysis->add_general_value ($key, $value, $description); // examples $analysis->add_general_value analysis->add_general_valueresented⌴common⌴primer⌴in⌴librACCTGATAT $analysis->add_general_value ("average_length", 100 ); To add values with a discrete count the add_position_value function is called.
All measurements performed at baseline were repeated including laboratory analyses, renal function measurements using radioactive labeled tracers and nuclear ventriculography.
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