L. Warren results 277
· Newest (Page 1/12, per page 25)
Author: L. Warren ×Clear All Filters
Search Results
Storying a responsive agroforestry technical assistance and training landscape in the USNARA Subscribed
In response to limited technical assistance capacity available to meet growing producer interest in agroforestry in the US, several inter-regional organizers of a burgeoning effort to coordinate national-scale agroforestry technical assistance and training (TAT) focused multiple sessions at the 2025 North American Agroforestry Conference on current conditions and surfacing opportunities for the development of agroforestry prof...
Prioritizing clinical utility to use allostatic load as a biomarker of the consequences of stressNARA Subscribed
Allostatic load measures the physiological consequences of stress and is associated with disease outcomes. Clinical use of allostatic load is limited, in part, because its calculation requires biomarkers not routinely measured in clinical care. Presently, we evaluated associations between high allostatic load and depression as co-occurring consequences of stress among a cohort representing population subgroups largely excluded...
Purpose Carbohydrate availability is reduced during prolonged exercise, and this may contribute to the loss of power output at the intensity domain transitions. The aim of this study was to investigate the effects of lowered carbohydrate availability on power output at intensity domain transitions, muscle activation, and gross cycling efficiency in endurance-trained female cyclists. Methods Nine well-trained female cyclists co...
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...
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...