M. Harris results 637
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Developmental dynamics of ovine lung in health and cystic fibrosis at single-cell resolutionNARA Subscribed
The sheep lung has long been used to model aspects of the human lung, both its normal development and pathological changes that occur in ovine models of lung disease. The similarities between the two species provide an opportunity to investigate phases of lung development that are not accessible for investigation in humans, for example later in gestation. Here we use single cell (sc) RNA-seq to investigate the developmental dy...
Bees forage and utilize centipedegrass pollenNARA Subscribed
Bees are crucial for pollination, producing 35% of the world’s fruits, nuts, and vegetables. However, the decline in bee populations due to habitat loss, monoculture farming, pesticide use, and urbanization threatens biodiversity and agricultural sustainability. Thus, it is critical to identify additional resources for pollinators. Centipedegrass ( Eremochloa ophiuroides ) is a common turfgrass in the southeastern United State...
An experimental approach to assess the combined effects of multiple stressors on a large vertebrate speciesNARA Subscribed
The design of experiments to investigate the combined effects of multiple stressors requires exposing target organisms to multiple combinations of stressor doses. Concurrent manipulation of stressors is often infeasible with wildlife, but long‐lasting health effects allow individual health to be used as an integrator of prior stressor exposure. The population of bottlenose dolphins in Barataria Bay, Louisiana, experienced long...
Diet of juvenile skipjack herring Alosa chrysochloris : Ontogenetic shifts, predator–prey size ratios and mouth gape allometryNARA Subscribed
The skipjack herring Alosa chrysochloris inhabits Gulf of Mexico drainages, primarily the Mississippi River Basin, and estuarine environments in the Gulf of Mexico. The trophic ecology of the skipjack herring is poorly understood, therefore we quantified the length, mouth gape and gut contents of juvenile skipjack herring from the Mississippi River (fish n = 6), Illinois River (fish n = 181) and Ohio River (fish n = 255) and t...
Global patterns and regional insights into kelp forest protection, restoration, and stewardshipNARA Subscribed
Kelp forests are among the most extensive and productive coastal ecosystems, yet they remain underrepresented in global conservation policy despite widespread declines driven by interacting global- (i.e., ocean warming, marine heatwaves) to local-scale stressors. At the same time, kelp conservation and restoration efforts are expanding rapidly across regions, but measures of success and syntheses tend to primarily focus on eco...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
Effectiveness of passive trapping and sweep netting for insect pollinator sampling in turf communitiesNARA Subscribed
Pollinator communities in urban and peri-urban turfgrass remain poorly characterized despite the ubiquity of lawns and growing interest in management practices that enhance floral resources within these otherwise resource-limited environments. To address this gap, we evaluated the effectiveness of active (sweep netting at multiple times of day) and passive (molasses traps and blue, white, and yellow pan traps) sampling methods...
Purpose The DANFLU-1 trial suggested lower incidence of hospitalizations for pneumonia and influenza, respiratory disease and all-cause mortality among older adults receiving high-dose (HD-IV) versus standard-dose (SD-IV) influenza vaccine. This study assessed the relative effectiveness of HD-IV versus SD-IV according to comorbidity in elderly individuals. Methods This was a post-hoc analysis of the DANFLU-1 randomized control...
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...