LIGHT-INDUCED DYNAMIC RGD PATTERN FOR SEQUENTIAL MODULATION OF MACROPHAGE PHENOTYPES




Artificial Intelligence Neural network modeling of radiative nanofluid flow via a vertical cone in porous substance with activation energy effect

Artificial Intelligence Neural networks simulate human cognitive processes to help computers comprehend data.Deep learning uses a multilayer network of neurons, similar to the human brain.The technique creates an adaptive framework that lets computers learn from mistakes and improve over time.This study examines the impact of activation energy in a

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The complete chloroplast and mitochondrial genome sequences of Boea hygrometrica: insights into the evolution of plant organellar genomes.

The complete nucleotide sequences of the chloroplast (cp) and mitochondrial (mt) genomes of resurrection plant Boea hygrometrica (Bh, Gesneriaceae) have been determined with the lengths of 153,493 bp and 510,519 bp, respectively.The smaller chloroplast genome contains more genes (147) with a 72% coding sequence, and the larger mitochondrial genome

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