Abstract The variational autoencoder (VAE), a deep generative model, can extract a good feature representation for clustering from complex data; however, the use of this algorithm in the geophysical fluid circulation has been limited. The sample size for a geophysical phenomenon is generally small because of a large dimensional size, especially for ...
Kunihiro Aoki +7 more
wiley +1 more source
Draft genome sequence of <i>Polaribacter</i> sp. strain OB-PA-B3: a novel algal polysaccharide degrader isolated from the particle-associated fraction of Osaka Bay, Japan. [PDF]
Lin C-Y +6 more
europepmc +1 more source
Using silicon and gallium arsenide technologies for new supercomputer design
I.D. Robertson
openalex +2 more sources
Disentangled Assembly Graphs Reveal Hidden Eukaryotic Diversity in eDNA Metagenomic Data
ABSTRACT Genome assembly graphs contain valuable yet frequently overlooked information that can enhance assembly completeness by revealing contig connectivity. Here, we demonstrate how leveraging these information‐rich structures enables the discovery of hidden microeukaryotic diversity in environmental DNA shotgun metagenomic datasets.
Manon Mireille Geerts +4 more
wiley +1 more source
Temporally-consistent koopman autoencoders for forecasting dynamical systems. [PDF]
Nayak I +4 more
europepmc +1 more source
Relative Humidity Influences Aureobasidium pullulans Degradation of Polyester Polyurethane Foam
The plant pathogen Aureobasidium pullulans' ability to degrade polyurethane foam is impacted by Equilibrium Relative Humidity (ERH). These impacts can be observed through foam weight loss, scanning electron microscopy (SEM), fungal growth, and cutinase gene expression.
Amanda Stickney +8 more
wiley +1 more source
Differentiation of RNA-protein docking structures through molecular dynamics simulation and machine learning methods. [PDF]
Thanh BT +4 more
europepmc +1 more source
Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI [PDF]
Stefan Zellmann
openalex +1 more source
Network medicine and systems pharmacology approaches to predicting adverse drug effects
Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events.
Alessio Funari +2 more
wiley +1 more source

