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To detect unintended effects, it is optimal to study the differences of the GMO with its non-GM counterpart.
In contrast, the IVM real time imaging method described here is optimal to study the initial interaction (rolling/capture), the arrest and the firm adhesion of T cells within the spinal cord microvasculature under physiological flow conditions in vivo.
In our study, we used shear stress at 0.8 dyne/cm, since this condition is optimal to study the mechanical properties of shear flow on adhesion molecule VCAM-1 and syndecans expression and to understand their role in blood-cell adhesion on endothelium [ 20].
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Thus, the 5% serum conditions were optimal to study the effects of benign cells on cancer cells.
The above load size used in this study is optimal to investigate group differences as it aims to prevent floor ceiling effects at easier loads or heavier loads in patients or controls.
However, it is not optimal to study single concepts or categories and therefore structural aspects of semantic memory.
Because we were originally motivated to study the neuronal response during dynamically morphing facial expressions, our choice of control stimuli (high-contrast checkerboards) was not optimal to study rapid categorization of objects at such a short latency.
These models are not optimal to study preconditioning for the clinical population that might benefit most of it, i.e. patients with T2D or the MS. Delayed preconditioning reduces infarct size and preserves cardiac contractility in wild type (WT -mice after ischemia-reperfusion [ 10], but not in models of type I diabetes [ 11].
The same-sex twin model is the most optimal to study the connection between mortality and LTL because it controls for genes, rearing environment, sex and age, all of which might impact LTL.
The conditions used in this study are optimal to separate chromosomes 11 to 14 because the LplA1 gene is located on chromosome 13.
It is worth mentioning that both the research program and the research design of this study are optimal to allow knowledge translation (KT) and application throughout the entire research process.
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