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On‐Farm Demonstration and Economic Evaluation of an IoT Sensing System for Irrigation Management in South CarolinaNARA Subscribed
Irrigation can strongly influence agricultural productivity and sustainability. While sensor‐based irrigation has the potential to improve yield, reduce input costs and enhance resource‐use efficiency, its adoption in commercial agriculture remains limited. This study evaluated and demonstrated the performance of an IoT soil water monitoring system and the effects of sensor‐based irrigation on crop yield and economic returns i...
Peripheral and disjunct populations are often the result of historic geological changes in the landscape and because of the long temporal span of colonization or vicariance, they are often genetically distinct and, when occupying small areas, vulnerable to population declines. In freshwater fishes, such populations are very susceptible to habitat destruction and environmental changes that could hasten extirpation. Because thes...
Tide gauges have been critical sources for sea level research, enabling the development of tidal theory and an understanding of local variations that occur across the global oceans. Tides play important roles in a variety of oceanographic and geodetic applications, and characterizing their spatial variability is valuable for applications ranging from fishing to flood risk management. This manuscript presents the coastal charac...
The San Joaquin Valley is one of the most intensive oil and gas and agricultural production regions of the United States, yet the regional groundwater salinity distribution is not well defined, particularly near the western margin of the valley where salinity is highly variable. Airborne electromagnetic (AEM) surveys were conducted to improve the understanding of the three-dimensional variations in groundwater salinity in the...
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...
Alzheimer’s disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion te...