Results 161 to 170 of about 29,893 (266)
Multi-Decadal Dynamics of Wetland Methane Emissions Revealed by Knowledge-Guided Machine Learning. [PDF]
Zhu Q +18 more
europepmc +1 more source
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky +2 more
wiley +1 more source
A case study of gastritis cystica profunda mimicking a submucosal tumor treated with endoscopic submucosal dissection. [PDF]
Wang YL, Liang CF, Cheng YL.
europepmc +1 more source
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal +8 more
wiley +1 more source
Electrically stimulated asymmetric double-layer scaffolds using 3D printing and electrospinning for enhanced bacteria-free wound healing application. [PDF]
Lee J +5 more
europepmc +1 more source
ABSTRACT Background Intensive care following resuscitation from out‐of‐hospital cardiac arrest (OHCA) is based on a set of interventions, all of which are intended to reduce anoxic brain injury and improve outcomes, including sedation, mechanical ventilation, circulatory optimization, and temperature control protocols.
Jesper Kjaergaard +13 more
wiley +1 more source
Senescent Fibroblasts Drive Melanoma Progression Through GCP-2 Induced CREB Phosphorylation Enhancing Glycolysis. [PDF]
Basu A +15 more
europepmc +1 more source
The Danish Out‐of‐Hospital Cardiac Arrest Trial: A Statistical Analysis Plan
ABSTRACT Background Post‐cardiac arrest care for patients resuscitated from out‐of‐hospital cardiac arrest (OHCA) includes multiple pharmacological and physiological interventions, yet optimal strategies to reduce post‐cardiac arrest syndrome–related morbidity and mortality remain uncertain.
Simon Mølstrøm +11 more
wiley +1 more source
ST-GCP: a graph convolutional network model with contrastive consistency and permutation for spatial transcriptomics. [PDF]
Meng Y +9 more
europepmc +1 more source
ABSTRACT Background Delirium is a frequent complication in comatose Out‐of‐Hospital Cardiac Arrest (OHCA) survivors requiring postresuscitation intensive care and is associated with higher mortality and longer hospitalization. Despite this, there is no established pharmacologic strategy for delirium prevention in OHCA survivors.
Benedikte Liebetrau +12 more
wiley +1 more source

