Results 191 to 200 of about 489,759 (365)
In this study, a single‐cell atlas of 117,019 yak gastrointestinal cells across 54 subtypes identified HNF4A and SREBF2 as key transcription factors targeting MYO6 gene. Cross‐species and multi‐omics analyses reveals epithelial cells as key regulators that, through interactions with microbes, particularly Bacillus, facilitate flexible energy supply and
Chun Huang +12 more
wiley +1 more source
$$ \alpha $$ -KIDS: A Novel Feature Evaluation in the Ultrahigh-Dimensional Right-Censored Setting, With Application to Head and Neck Cancer. [PDF]
Urmi AF, Ke C, Bandyopadhyay D.
europepmc +1 more source
This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika +6 more
wiley +1 more source
A Complete Density Correction using Normalizing Flows (CDC-NF) for CMIP6 GCMs. [PDF]
Fang S +4 more
europepmc +1 more source
Reproducing Kernel Hilbert Space Methods for wide-sense self-similar Processes [PDF]
Carl Nuzman, H. Vincent Poor
openalex +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. [PDF]
Brault C +8 more
europepmc +1 more source
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley +1 more source
Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data. [PDF]
Mao G, Yang S, Wang X.
europepmc +1 more source
A Kriging‐based error‐reproducing and interpolating kernel method for improved mesh‐free approximations [PDF]
Amit Shaw +2 more
openalex +1 more source

