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Global Analysis of Shallow Underwater Fish Observation Research: 70 Years of Progress, Persistent Geographic Biases and a Path ForwardNARA Subscribed
Marine ecosystems are increasingly threatened by overfishing, pollution, coastal development and climate change, underscoring the need for long‐term, representative information on key fish populations and habitats to inform management and policy. Underwater fish observation (UFObs) techniques, such as Underwater Visual Census (UVC), stereo‐Baited Remote Underwater Video (stereo‐BRUV) and Remotely Operated Vehicles (ROVs), play...
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...
Marine megafauna species are affected by a wide range of anthropogenic threats. To evaluate the risk of such threats, species’ vulnerability to each threat must first be determined. We build on the existing threats classification scheme and ranking system of the International Union for Conservation of Nature (IUCN) Red List of Threatened Species by assessing the vulnerability of 256 marine megafauna species to 23 at‐sea threat...
The dawn of a legume revolution in Southern Africa: trends, drivers, and implicationsNARA Subscribed
African agriculture faces multiple challenges, dampening its contribution to economic development, food and nutrition security, poverty reduction and resilience. Legumes are a necessary component of diversified maize-based cropping systems that are more resilient against climate change and can better deliver food and nutrition security while building soil fertility. Despite this potential, the uptake of legumes by smallholders...
In situ soil moisture data improve precipitation-based shallow landslide early warning through innovative machine learning methodsNARA Subscribed
To prevent damage from landslides, data-driven early warning forecast models have proven to be cost-effective tools. Traditionally, early warning models relied on rainfall exceedance thresholds to differentiate between landslide-triggering and non-triggering conditions. Recent studies have shown that using soil moisture information to assess the moisture state before rainfall events can improve hazard predictions. To explore t...
Emerging evidence suggests brain-resident myeloid cells, including perivascular macrophages and microglia, provide a reservoir for HIV infection in the central nervous system (CNS), and their inflammatory activation is a proposed pathogenic mechanism in HIV-associated neurocognitive disorders (HAND). We investigated whether cannabinoid receptor 2 (CB 2 ), an immunomodulatory receptor expressed in myeloid cells, regulates viral...
Optimising landslide initiation modelling with high-resolution saturation prediction based on soil moisture monitoring dataNARA Subscribed
It has been widely recognised that the degree of soil wetness before precipitation events can be decisive for whether or not shallow rainfall-induced landslides occur. While there are methods to measure and/or model soil wetness in complex topography, they often exhibit limitations in spatial or temporal resolution, hindering their application in regional landside initiation modelling. In this study, we address the need for hi...
Exploring the Epigenetic and Metabolic Pathways for Antioxidant and Anti-Inflammatory Potentials of Tart Cherry Juice ConcentrateNARA Subscribed
Tart cherry (TC; Prunus cerasus ) has high antioxidant and anti-inflammatory potentials due to its rich bioactive components like anthocyanins, polyphenols, vitamins, beta-carotene, ellagic acid, and chlorogenic acid. Oxidative damage and inflammation are underlying reasons to chronic disease pathogenesis. Oxidative stress usually caused by the imbalance between antioxidants and pro-oxidants. Additionally, a chronic inflammato...
Across Alaska, there have been synchronous declines in the abundance, mean age, and size of Chinook salmon ( Oncorhynchus tshawytscha , Salmonidae), a species with immense social and ecological importance. The decline of Chinook salmon, and regulations addressing declines, have drastically impacted people who rely on Alaska's fisheries. Despite their importance, the drivers causing Chinook salmon declines are still not well un...
Predicting the progression of MCI and Alzheimer’s disease on structural brain integrity and other features with machine learningNARA Subscribed
Machine learning (ML) on structural MRI data shows high potential for classifying Alzheimer’s disease (AD) progression, but the specific contribution of brain regions, demographics, and proteinopathy remains unclear. Using Alzheimer’s Disease Neuroimaging Initiative (ADNI) data, we applied an extreme gradient-boosting algorithm and SHAP (SHapley Additive exPlanations) values to classify cognitively normal (CN) older adults, th...
Background Estrogen may play a role in epithelial ovarian cancer (EOC) carcinogenesis, with effects varying by EOC histotype. Measuring women’s long-term exposure to estrogen is difficult, but bone mineral density (BMD) may be a reasonable proxy of longer-term exposure. We examined this relationship by assessing the association between genetic predisposition for higher BMD and risk of EOC by histotype. Methods We used Mendelia...