Attitude Tracking Algorithm Using GNSS Measurements from Short Baselines. [PDF]
Kapralov F, Kozlov A.
europepmc +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
Re: Discharge NIHSS scores are predictive of poor 3-month outcomes in patients with acute ischemic stroke receiving intravenous thrombolysis. [PDF]
Duan Y.
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source
PurposeAccurate arterial input functions (AIFs) are essential for quantitative dynamic contrast‐enhanced (DCE) MRI, yet direct measurement is challenging and population‐averaged AIFs neglect patient‐specific variability. Blind deconvolution provides an alternative by estimating patient‐specific AIFs directly from tissue data, up to a scale factor. This
Jake L. Cray +4 more
wiley +1 more source
Fault Detection in Real-Time Kinematic Positioning Using Multiple Reference Stations. [PDF]
Kim E, Lee S.
europepmc +1 more source
Bayesian Implementation of the Factor‐Analytic Mixed Model and Application to Embeddings
ABSTRACT Mixed models and neural networks each offer complementary frameworks for prediction. Theoretically grounded in inference, mixed models can unveil latent variance structure notably with the factor‐analytic approach. In this article, we propose to bridge the gap between the two frameworks, leveraging embedding data from a neural network encoder ...
Alexandre Marchal +3 more
wiley +1 more source
A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
Ashokaraju D +4 more
europepmc +1 more source

