R.R. Das results 557
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Aim We investigate the distribution of dispersal modes — endozoochory (via animal ingestion), synzoochory (via animal seed accumulation) and anemochory (via wind)—and seed mass of woody plants across Brazilian ecosystems, testing whether their relative abundance in local plant communities could be predicted by climate, edaphic factors and dispersal agents (e.g., the main vectors moving seeds). We expected climate to be the mai...
Examining the Changes in Precipitation Patterns Across the Western Himalayan Region During the Winter SeasonNARA Subscribed
The Himalayas are associated with ever‐challenging topography and changing dynamic climatic conditions. The climatological winter precipitation was studied over the Western Himalayan region (WHR) during two time periods spanning 30 years each (1961–1990 and 1993–2022) using ERA5 reanalysis. Analysis illustrates that the decline of the large‐scale precipitation is much more prominent than convective precipitation over the WHR....
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...