Cardiovascular disease arises from lifelong accumulation of traditional and emerging risk factors that converge on shared pathophysiological pathways, leading to diverse clinical outcomes, and can be mitigated through integrated screening, prevention, and precision therapies. ABSTRACT Cardiovascular diseases (CVDs) remain the leading cause of morbidity
Mowei Kong +6 more
wiley +1 more source
When wolves aren't enough: revisiting trophic cascades in northern Wisconsin
Elimination of top predators has allowed large herbivores to flourish in many terrestrial ecosystems, transforming food webs and ecosystem functions. Restoration of large predator communities is hoped to reverse negative effects of this trophic downgrading, but evidence for such effects is elusive.
Elaine M. Brice +6 more
wiley +1 more source
Engaging with theoretical models in social science education
Abstract In citizenship education, subjects like social science aim to enhance students' reasoning about social issues through disciplinary knowledge, skills and abilities. One key ability is using theories and models to better understand and reason about societal phenomena.
Johan Sandahl, Patrik Johansson
wiley +1 more source
Abstract Accurately estimating Snow Water Equivalent (SWE) in glacierized regions is critical for glacier modeling and mass balance analysis yet remains challenging due to sparse observations and uncertainties in precipitation products. The objectives are twofold: (a) assess how well three widely used precipitation datasets—Stage IV (a radar–gauge ...
Yang Song, Ali Behrangi
wiley +1 more source
Quantitative Ultrasound SWE of Carotid Plaque in Symptomatic and Asymptomatic Patients: A Systematic Review and Meta-Analysis. [PDF]
Sultan SR +11 more
europepmc +1 more source
Learning 2D Shallow Water Equations With Physics‐Informed Neural Operator Networks
Abstract This study investigates the application of Physics‐Informed Neural Operators (PINOs) for solving the two‐dimensional shallow water equations (2D SWE) in the context of flood modeling. Unlike Physics‐Informed Neural Networks (PINNs), which require retraining for each new initial or boundary condition (BC), PINOs learn the solution operator ...
Robert Keppler +2 more
wiley +1 more source
Quantifying Uncertainty in OMNI Solar Wind Measurements Projected From L1 to the Earth's Bow Shock
Abstract Many routine measurements of the solar wind plasma and interplanetary magnetic field (IMF) are made at the L1 Sun–Earth Lagrange point; therefore, it is helpful to characterize the errors introduced in propagating these measurements to the near‐Earth environment.
N. C. Rogers, J. A. Wild, A. Grocott
wiley +1 more source
Impact of body position on liver stiffness measurements in men and women with chronic liver disease: liver fibrosis assessed with shear wave elastography comb-push technology. [PDF]
Byenfeldt M, Elvin A, Fransson P.
europepmc +1 more source
Abstract We demonstrate a data‐driven parameterization framework for snow albedo evolution using a constrained auto‐regressive neural differential equation that directly predicts snow albedo change from standard meteorological inputs. After training with multi‐year in situ and satellite observations from a wide variety of locations, the scheme ...
A. Charbonneau, K. Deck, T. Schneider
wiley +1 more source
Allelopathic Activity of Ginseng-Cultivated Soil: Extracts on Seed Germination and Growth of Five Vegetables in China. [PDF]
Lei J +9 more
europepmc +1 more source

