Results 141 to 150 of about 4,387 (252)
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Abstract This study examines the impact of climate change on bread wheat (Triticum aestivum L.) yield in Central Oromia, Ethiopia, using climate and yield data from the past 32 years. Historical daily climate data were obtained from the Ethiopian Meteorological Institute, while observed wheat yield data were collected from the respective Zonal ...
Seifu Kibebew +4 more
wiley +1 more source
Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel. [PDF]
Ahrends C, Woolrich MW, Vidaurre D.
europepmc +1 more source
Enhancing Q‐Learning via State‐Space Design for Active Battery Balancing
This study investigates the profound impact of state definition on the efficacy of Q‐learning for active battery balancing in lithium‐ion battery packs. We define and evaluate three distinct state representations—[State 1, 11‐state space definition], [State 2, 27‐state space definition], and [State 3, 81‐state space definition]—within a reinforcement ...
Fatemeh Ebrahimabadi +2 more
wiley +1 more source
Determining disease attributes from epidemic trajectories. [PDF]
Rast MP, Rast LI.
europepmc +1 more source
GWAS reveals novel QTLs associated with panicle architecture traits in US long‐grain rice
Abstract Understanding the variability of panicle architecture‐related traits is important to enhance rice (Oryza sativa L.) improvement. The present study evaluated 208 diverse rice lines of southern rice breeding programs for panicle length (PL), panicle weight (PW), and thousand grain weight (GW).
Gurjeet Singh +5 more
wiley +1 more source
Subpolar North Atlantic Ocean heat content drives 21st-century Arctic multi-decadal variability in CESM1 LE. [PDF]
Cai D, Chen X.
europepmc +1 more source
Eagles see ahead. Now our model does too. By modeling how eagles respond to terrain and wind conditions in their line of sight, we can predict where they'll fly in the next 3 min with 3× better accuracy than current methods—protecting eagles while maximizing energy production.
Rimple Sandhu +9 more
wiley +1 more source
Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics. [PDF]
Liu B, Cao S, Boysen JG, Xue M, Huang X.
europepmc +1 more source
This study investigated habitat use and trophic niche differentiation in two wedge‐tailed shearwater populations in eastern Australia (2015 to 2019). Temperate birds foraged mainly in southeastern Australian waters and undertook a pre‐staging detour towards the subtropical frontal zone before migration, whereas subtropical birds foraged further east ...
Penny E. Beaver +3 more
wiley +1 more source

