Results 191 to 200 of about 12,074 (267)
Synthetic community complexity reduction designs. Summary Plant growth is influenced by the composition of its associated microbiome. The inherent complexity and functional redundancy of natural plant microbiomes present a formidable barrier to understanding the myriad biological interactions therein.
Dean Pettinga +8 more
wiley +1 more source
Climate change impact assessment on water resources in the mountainous Karaj Dam Basin using an integrated weather generator-machine learning framework. [PDF]
Khazaei MR.
europepmc +1 more source
ABSTRACT Groundwater makes an important contribution to public water supplies, yet the dynamics of groundwater availability are often simplified in large‐scale water resource assessments. This study addresses that challenge on a national scale in England by integrating an empirically based groundwater supply model with a national‐scale water resource ...
Rachel Pugh +3 more
wiley +1 more source
Prolonged visual experience accelerates developmental synaptic downscaling via epigenetic regulation and Rab5c mediated AMPA receptor trafficking. [PDF]
Zheng L +8 more
europepmc +1 more source
Abstract figure legend Diet‐induced obesity induced fibro‐adipogenic remodelling of the muscle–tendon unit, characterized by increased fibrosis, reduced specific force, impaired relaxation kinetics, elevated hysteresis, and reduced aerobic capacity and glucose tolerance.
Leonardo Cesanelli +9 more
wiley +1 more source
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation. [PDF]
Schmidt J +4 more
europepmc +1 more source
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah +5 more
wiley +1 more source
High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022. [PDF]
Yuan Z, Ma T.
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Projected intensification of precipitation extremes in the Kosi Basin using CMIP6 models. [PDF]
Singh AK, Roshni T, Singh V.
europepmc +1 more source

