Results 171 to 180 of about 52,757 (270)

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro   +12 more
wiley   +1 more source

COVID-19 mortality prediction using ensemble learning and grey wolf optimization. [PDF]

open access: yesPeerJ Comput Sci, 2023
Lou L   +6 more
europepmc   +1 more source

Bite‐DNA Shows Substantial Browsing on Willows (Salix spp.) by North American Bison in Yellowstone National Park

open access: yesEcology and Evolution, Volume 16, Issue 4, April 2026.
Riparian willows in Yellowstone National Park are shaped by ungulate browsing, but species‐specific contributions remain unclear. Using bite‐DNA metabarcoding of browsed willow twigs across six northern range sites, we found that American bison were the most frequent browsers, exceeding elk and often mule deer.
Julia L. Jansson   +3 more
wiley   +1 more source

Understanding cell‐penetrating peptide mechanisms using computational electrophysiology simulations

open access: yesProtein Science, Volume 35, Issue 4, April 2026.
Abstract Cell‐penetrating peptides (CPPs) can enter cells without inducing cytotoxicity and can be coupled with cargo molecules to be used to deliver drugs, DNA, or nanoparticles into cells. The peptide‐membrane interactions driving the internalization mechanism are not completely understood. In this study, we introduce Computational Electrophysiology (
Eric Catalina‐Hernandez   +3 more
wiley   +1 more source

Transfer Learning for Transformer‐Based Drought Forecasting Across Diverse Precipitation Products in India

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Effective drought management is critical for agriculture‐based economies like India. This study examines whether a transformer‐based architecture can function as a robust pre‐trained backbone for operational drought forecasting across India. We utilized a pre‐trained transformer model, which was trained on the Indian Monsoon Data Assimilation ...
Ashish Pathania, Vivek Gupta
wiley   +1 more source

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