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Hybrid CNN-GNN architectures with distributed training for heathland plant classificationNARA Subscribed
Accurate predictions of heathland plant species are crucial for ecological monitoring and assessing biodiversity. Previous research has predominantly utilised convolutional neural networks (CNNs), which process images arranged on a regular grid. Although CNNs are effective at extracting local visual features, they frequently do not capture the irregular spatial relationships characteristic of heathland vegetation. Earlier appr...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
Colletotrichum is a fungal genus, comprising many plant pathogens that pose a significant threat to agriculture globally, however, their diversity and host range on Australian native plants remain poorly understood. Colletotrichum pyricola , first described as a fruit rot pathogen of Pyrus communis (common pear) in New Zealand, has also been reported in Australia, but its broader host range and potential biosecurity risk remai...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...
Earthworms Enhance Global Soil Carbon Storage Through Microbial–Mineral StabilizationNARA Subscribed
Earthworms play a dual role in the global carbon cycle: they accelerate organic matter decomposition yet are often associated with greater soil organic carbon (SOC) storage. However, uncertainty regarding the mechanisms and magnitudes through which earthworms concurrently influence SOC mineralization and stabilization has limited the integration of soil fauna into carbon models. Here, we synthesize 696 paired observations from...