D. Lu results 434
· Newest (Page 1/18, per page 25)
Author: D. Lu ×Clear All Filters
Search Results
Conservation implications of low contemporary connectivity along the Mid‐Atlantic Ridge in hydrothermal vent gastropodsNARA Subscribed
Polymetallic sulfide deposits produced at hydrothermal vent fields are targets for mining exploitation along the Mid‐Atlantic Ridge, threatening the functioning and resilience of vent ecosystems that provide multiple ecosystem services. Knowledge about connectivity between vents will inform conservation practices. The present‐day genetic structure and demographic history of the two vent‐dwelling gastropod species, Lepetodrilus...
Precision measurement of the Ds*+-Ds+ meson mass differenceNARA Subscribed
Water pollution from agricultural, industrial, and urban activities threatens aquatic ecosystems and the essential services they provide. Excess nitrogen has been identified as a key driver of water quality degradation, impacting biodiversity, food security, and human health. One approach to mitigating nitrogen pollution is water quality offsetting, compensating for pollution impacts by implementing nitrogen reduction measures...
Ocean dissolved oxygen (O2) is an essential climate variable crucial for sustaining the marine life; thus, changes of O2 at various spatiotemporal scales should be quantified and understood. Here, we study the climatology and annual cycle of O2 at regional to global scales using eight available gridded observational products. These datasets are generated by different groups using different primary data selection, quality contr...
Enhanced sulfate radical generation through bimetallic Ni–Cu catalysts synthesized in a fluidized bed for rapid RB5 degradationNARA Subscribed
The treatment of dye-containing wastewater remains a significant environmental challenge, as persistent azo dyes such as Reactive Black 5 (RB5) are resistant to conventional oxidation and biological processes. In this study, we propose a Fe-free advanced oxidation strategy based on sodium persulfate activation using Ni–Cu bimetallic catalysts synthesized via fluidized-bed homogeneous crystallization (FBHC), with a systematic c...
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...