Living with the past: larval eastern oyster (<i>Crassostrea virginica</i>) culture salinity affects post-metamorphic physiological performance. [PDF]
Fuqua E, Brooke S.
europepmc +1 more source
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz +2 more
wiley +1 more source
Surrogate measurement of traffic safety with insights from pavement condition, sensor fusion, and machine learning. [PDF]
Amani MJ, Golroo A, Hajikarimi P.
europepmc +1 more source
Abstract Background Gastrolith ingestion is a known inherent behaviour in crocodiles. However, the interpretation of coelomic radiographs in crocodilians is challenging due to the limited informative literature in this field. Methods Dorsoventral coelomic radiographs of 49 juvenile saltwater crocodiles (Crocodylus porosus) were acquired twice, with an ...
Charlotte R. Nix +4 more
wiley +1 more source
Acute Necrotizing Esophagitis Following a 44-Hour Refractory Food Bolus Impaction. [PDF]
Fujii Y +8 more
europepmc +1 more source
Depletion of Available Potassium Nutrient with Changes in Clay Mineralogy During Pedogenesis of ASS Landscapes [PDF]
Keene, Annabelle +3 more
core
Seasonal variation in wild pig (Sus scrofa) diet revealed by DNA metabarcoding
Using DNA metabarcoding of fecal samples, we investigated the diet of wild pigs at an extensive bottomland hardwood forest ecosystem within Felsenthal National Wildlife Refuge in Southern Arkansas. We found that wild pig diet was highly diverse and included at least 74 plant families and 106 genera and 23 species of vertebrates.
Kenneth C. Wilson +3 more
wiley +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Isotopic niche plasticity of American alligators within the southern Everglades. [PDF]
Denton MJ +6 more
europepmc +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan +5 more
wiley +1 more source

