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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...
Chilean Blue Whales: Fidelity to Feeding Areas and Migratory Connectivity With the Eastern Tropical Pacific 1NARA Subscribed
In the Eastern South Pacific (ESP), blue whale ( Balaenoptera musculus subsp.) aggregations have been described for two feeding areas (in northern and southern Chile) and in the Eastern Tropical Pacific (ETP). However, despite the knowledge of these areas, little is known about the seasonal movements of blue whales between them. Comparisons of 1074 individual blue whales, photographed across these regions from 1992 to 2019, re...
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...
Trait space and compactness: A new perspective on explaining variations in primary productivityNARA Subscribed
A fundamental question in ecology is why plant communities have large trait space yet strong coordination among those traits across large scales, despite these patterns seeming contradictory. Answering this question requires quantitatively linking the geographic distribution of trait space and coordination with gross primary productivity (GPP). We leveraged an unprecedented large‐scale dataset of nine leaf traits for 5718 spec...
Achieving net zero carbon dioxide emissions will require investment in large-scale logistical infrastructure to remove, transport, and store carbon dioxide from the atmosphere, exhaust gases, and waste streams from industrial plants. Successful implementation of carbon capture, storage (CCS) will depend on stakeholder investment and public agreement. Evidence of how the public perceive methods of CCS and their preferences amon...
At harvest, the water content of apples and pears is at its maximum, about 83–85% by mass. The rate of fruit water loss after harvest is a function of three factors: the fruit surface area, the epidermis water vapour permeance, and the difference in internal and external fruit water vapour pressure. However, the water vapour pressure difference is the only factor that can be controlled during storage, i.e. by altering the stor...
Mapping Plant Functional Traits Using Gap‐Filled Datasets to Inform Management and ModellingNARA Subscribed
Aim Plant traits are used to describe the functional properties of vegetation that are critical to terrestrial ecosystem services. Functional trait metrics for plant communities can be valuable for modelling important ecosystem properties such as fuel loads and nutrient cycling, future plant diversity and responses to global change. However, the vast scale of plant diversity means collecting trait and distribution data for all...