Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator. [PDF]
Kang J +6 more
europepmc +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
A Robust Parallel Computing Data Extraction Framework for Nanopore Experiments. [PDF]
Bandara YMNDY +5 more
europepmc +1 more source
TisIBP8, a fungal‐derived hyperactive ice‐binding protein, helps Caenorhabditis elegans survive dehydration. It localizes near cell membranes, reduces cell damage, and helps maintain membrane structure during drying. These results suggest that ice‐binding proteins can protect cells from dehydration stress as well as freezing stress.
Daiki Shimose +9 more
wiley +1 more source
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
A. Geist +5 more
semanticscholar +1 more source
Dynamic hybrid parallel computing of the Ray Model for solving underwater acoustic fields in vast sea. [PDF]
Liao S, Xiao W, Wang Y.
europepmc +1 more source
Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System. [PDF]
Park HB +12 more
europepmc +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Sequencing technologies and hardware-accelerated parallel computing transform computational genomics research. [PDF]
Olbrich M, Bartels L, Wohlers I.
europepmc +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source

