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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
Here we present a solution for practically demonstrating path-aware routing and visualizing a self-driving network.
We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.