Results 131 to 140 of about 111,100 (299)
ABSTRACT Currently, the United States (U.S.) has issues with declining industrial values and supply chain digitalization, which threaten the country's industrialization and Industry 4.0 transformation. The country needs to reverse this trend through effective policy implementation. However, the literature's understanding of effective policies' long‐run
Mohammad Fakhrul Islam +4 more
wiley +1 more source
sangwonim/gca-chiral-morphogenesis: v1.0
No description ...
Sang Won Im, Dongsu Zhang
core +1 more source
ABSTRACT Ascidians are invertebrates that occupy a key phylogenetic position as a sister group of the vertebrates. The organization of their central nervous system (CNS), with cortex and medulla, indicates a plesiomorphic character of the gray and white matter of vertebrates, making this group of animals useful for studies of neurodegenerative events ...
Andressa de Abreu Mello +4 more
wiley +1 more source
Supplementary materials for a submsision to GCA
Supplementary materials of a manuscript entitled 'Fluorine abundance evolution of the lunar magma ocean constrained by experimentally determined mineral-melt F partitioning' submitted to ...
Jing, J
core +1 more source
Temporal artery biopsy (TAB) is the gold standard for diagnosis of giant cell arteritis (GCA), but is invasive and may miss pathological findings. The Edsel Ing GCA Risk Calculator, González-López GCA Risk Calculator and Weis Prediction Model are tools ...
Hamza Inayat; Saerom Youn; Lulu Bursztyn
core
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
The QTLs detected in BCRIL and Gca data sets.
The QTLs detected in BCRIL and Gca data sets.
Tongmin Mou (176107) +7 more
core +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source

