Xpp1 as regulator acting on the expression of xylanases, but not cellulases, is a highly promising candidate for knowledge-based strain design to improve the cellulases-to-xylanases ratio during industrial cellulase production.
We believe that this makes Xpp1 a highly attractive candidate for knowledge-based strain design, as this regulatory protein is a very promising instrument for shifting the cellulases-to-xylanases ratio in the secreted protein fraction during industrial cellulase production.
How is the would-be Knower to proceed in identifying candidates for Knowledge?
Descartes thinks this misses the point of the method: namely, to extend doubt universally to candidates for Knowledge, but not also to the very tools for founding Knowledge.
While individual scientists put forward candidates for knowledge, they do not know their hypotheses autonomously, before the relevant community has deemed the hypotheses confirmed.
Bringing to light the contradictions thus leads to their withdrawal (i.e. of the concepts/hypotheses) as (sole) candidates for knowledge generation and (ideally) to the acceptance of other concepts or hypotheses.
LinkedIn, with nearly 600 million users, dominates the market today for recruiters headhunting suitable candidates for knowledge-worker roles.
Consider the epistemologist's notion of sense-data or sense-impressions which are posited as candidates for grounding knowledge or certainty in what is supposedly given in perception.
The evidence presented here, indicating that the three proteins have tight interaction with multiple proteins involved in gastrin signaling, demonstrates that our approach is well suited to identify testable hypotheses, even for candidates for which knowledge in public databases is still sparse.
The BN-BMLA extends the scope of local 'causal' discovery methods, and because of the direct interpretation of Bayesian posteriors, contrary to p-values from the frequentist-based approach, makes it an ideal candidate for creating probabilistic knowledge bases to support off-line meta-analysis and fusion of background knowledge.
At the very least an editor will look for candidate knowledge of circulation figures, sales area and target audience.
