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Two early approaches 70– 78 are distance-based, and therefore do not allow the direct identification of the characters that conflict in the reference trees.
That was one of the big limitations of early approaches.
Early approaches viewed motivation as largely or entirely instinctive.
Early approaches in this field focused on homogeneous surfaces comprised of single type functionality.
Also, companies like Lundberg's clients are searching for an aesthetic to attract workers in a competitive market — one more sophisticated than early approaches like Google's primary colors.
Early approaches, such as brain lesion studies, focused on specific regions of the brain and linked those regions to intelligence and cognitive function2,3,4.
But before we assume that the only viable approach to NLP is a massive knowledge engineering project, let us go back to the early approaches to the problem.
Early approaches made use of thin-layer chromatography (TLC) for purification and separation, and immunoassay and lectin-binding techniques for quantitative and qualitative analysis of specific glycan motifs19,20.
However, early approaches were unsuccessful because of poor implantation efficiency, or rapid disappearance of human T and B cells from recipient mice, or rapid development of hematopoietic malignancies in recipient mice.
Whereas early approaches to diversity analysis were based on traditional descriptors such as two-dimensional fingerprints a recent emphasis has been on assessing scaffold coverage to ensure that a variety of different chemotypes are represented.
Early approaches suffered from the reversibility of integration routes and the fact that co-introduction of prokaryotic vector parts triggered uncontrolled heterochromatization. Shortcomings of this kind were overcome when Flp-Recombinase Mediated Cassette Exchange entered the field in 1994.
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