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Periodical cicada ( Magicicada spp.) ranges have continued to decline even as their habitat has rebounded from historic lows. This counterintuitive trajectory may be a consequence of Magicicada 's limited dispersal capabilities combined with their requirement that individual host trees survive across decades. Indeed, we find that the presence of Magicicada breeding populations is best predicted by tree cover in 1930, not by pr...
Pharms on farms: Variable impacts of veterinary pharmaceuticals on an arbuscular mycorrhizal symbiosis and soil microorganismsNARA Subscribed
Background Circular agriculture promotes the reuse of organic waste, such as animal manures, to reduce reliance on synthetic fertilisers. However, manures can introduce veterinary pharmaceuticals into soils. Arbuscular mycorrhizal (AM) fungi are critical for plant nutrition, yet their responses to manure-associated pharmaceuticals remain poorly understood. We investigated the effects of three commonly used veterinary pharmaceu...
Hypertrophic cardiomyopathy (HCM) has long been viewed as the archetypal monogenic disorder caused by pathogenic variants in the genes encoding components of the sarcomere. However, the fact that only one-third of HCM cases are genotype-positive, as well as other factors such as incomplete disease penetrance and marked phenotypic heterogeneity, challenge this reductionist view. Recent advances in mass spectrometry-based proteo...
Late presentation of ovarian cancer continues to pose a major challenge, as the disease typically manifests with vague and misattributed symptoms. Public awareness initiatives have sought to address this through the use of succinct, symptom-based messaging. The BEAT acronym – Bloating, Eating difficulties, Abdominal pain, Toilet changes – has been developed as a public health tool to promote symptom recognition and timely acti...
Precision Forestry: Using Machine Learning and LiDAR to Inform Thinning in Pinus taeda Plantations – A Case StudyNARA Subscribed
We demonstrate that the inputs and conceptual foundation needed for individual-tree-level precision thinning optimization algorithms are already available. As more resource managers adopt LiDAR-based inventories, precision thinning can become a value-added outcome of collecting these data. We use LiDAR to assess individual-tree stem volumes in Pinus taeda L. plantations in the southeast US. Rather than arbitrarily selecting st...
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...
SNAPSHOT USA 2024: Year 6 of the Coordinated National Camera Trap Survey of the United StatesNARA Subscribed
Motivation SNAPSHOT USA is an annual, multi‐contributor camera trap survey of mammals across the United States. The growing SNAPSHOT USA dataset is intended for tracking the spatial and temporal responses of mammal populations to changes in land use, land cover and climate. These data will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, as well as the impacts of speci...