Results 101 to 110 of about 192,759 (291)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
ABSTRACT In this paper, we trace the journey to create the Strong Roots for our Futures Program, a government program to resource and support Traditional Owners to undertake a range of activities in areas where no state recognition existed. We provide a background to state recognition in Victoria before considering the program design, leading to an ...
Nell Reidy +2 more
wiley +1 more source
raxtax: A k-mer-based non-Bayesian Taxonomic Classifier [PDF]
Noah A Wahl +3 more
openalex +1 more source
Mer ansvar - mer frigjøring? [PDF]
openaire +1 more source
Structure and assembly of an augmented Sm-like archaeal protein 14-mer
Cameron Mura +3 more
openalex +1 more source

