Results 131 to 140 of about 23,176 (145)

Intermittent Grain Activity From Grain‐Scale Collective Entrainment Rules

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract In bed load sediment transport, grains are moved by turbulent flow and are in nearly continuous contact with other grains, resulting in sediment flux that is intermittent, displaying bursts of activity in both space and time. Understanding the dynamical origin of these fluctuations is a challenge.
Santiago J. Benavides, Eric Deal, Jeremy G. Venditti, J. Taylor Perron   +3 more
wiley   +1 more source

Seeing Through Geomorphic Complexity to Recover Tectonics From Topography: Inverting Landscapes for Uplift Histories Using the Wasserstein Distance

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract An important problem in the Earth sciences is extracting information about tectonic and other processes from topography. A general challenge is that geomorphic activity that we typically have little information about during the lifetime of a landscape can introduce geomorphic “noise”.
M. J. Morris, G. G. Roberts, F. D. Richards, A. G. Lipp, E. R. Siddle   +4 more
wiley   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

Estimating Bottom Topography in Shallow Water Flows

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract We present two methods to estimate bottom topography in a shallow water flow using only surface deformation measurements. One is based on Physics‐Informed Neural Networks (PINNs) and the other on the Adjoint State Method. We test both methods using synthetic data in 1D and 2D cases. Both are able to successfully reconstruct not only the bottom
L. Pancotto, P. Clark Di Leoni
wiley   +1 more source

Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Reliable and computationally efficient ocean state forecasts are essential for climate resilience, maritime safety, and science‐to‐decision applications. Growing demand has stimulated interest in machine learning approaches as scalable complements to traditional numerical models.
Vahidreza Jahanmard, Robinson Hordoir, Ali Ramezani‐Kebrya, Artu Ellmann, Nicole Delpeche‐Ellmann   +4 more
wiley   +1 more source

Reconstruction of Two‐Dimensional Magnetohydrodynamic and Hall Magnetohydrodynamic Equilibria in Space Using Physics‐Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract We present a novel data analysis technique based on physics‐informed neural networks (PINNs) to reconstruct two‐dimensional (2D) magnetohydrodynamic (MHD) and Hall MHD equilibria in a space plasma from in situ spacecraft measurements. Our method incorporates the steady‐state MHD or Hall MHD equations—a set of partial differential equations ...
Hiroshi Hasegawa, Eunjin Choi, Kyoung‐Joo Hwang, Kyunghwan Dokgo   +3 more
wiley   +1 more source

Data‐Driven Estimation of Time‐Variable Catchment Transit Time Distributions

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Transit Time Distributions (TTDs) are widely used to summarize catchment behavior and are useful for understanding solute transport processes. Most methods for estimating TTDs from tracer data involve imposing strong model assumptions, which may affect the results.
Quentin Duchemin, Raphaël Miazza, James W. Kirchner, Paolo Benettin   +3 more
wiley   +1 more source

Palmoplantar pustulosis: pathogenesis, differential diagnosis, and treatment

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 24, Issue 4, Page 516-535, April 2026.
Summary Palmoplantar pustulosis (PPP) is a chronic inflammatory and often painful disease characterized by sterile pustules on the palms and soles, significantly impairing quality of life. Women are more frequently affected than men, and smoking is a major trigger. Under biologic therapies, especially TNF antagonists, a paradoxical PPP may occur.
Rotraut Mössner, Tanja Fetter, Robert Sabat, Ulrich Mrowietz, Neda Cramer, Dagmar Wilsmann‐Theis   +5 more
wiley   +1 more source

Eccentricity Index Is Associated With Pulmonary Arterial Hypertension in Children After Repair of Complete Atrioventricular Septal Defects

Echocardiography, Volume 43, Issue 4, April 2026.
Validating the utility of EI in children after AVSD repair. While EIs and EIm differ between patients with no other evidence of PAH and healthy controls, they still are reliable markers of PAH in this patient population. AUC, area under the curve; AVSD, atrioventricular septal defect; EIs, systolic eccentricity index; PAH, pulmonary arterial ...
Charles T. Simpkin, Marissa DeLima, Morgan MacBeth, Dale A. Burkett, D. Dunbar Ivy, Benjamin S. Frank   +5 more
wiley   +1 more source

Functional divergence of protein kinase A regulatory subunit Iβ variants: the importance of N3A motifs in PKA regulation

The FEBS Journal, Volume 293, Issue 8, Page 2417-2434, April 2026.
The regulatory subunit RIβ of protein kinase A occurs in two variants that differ at residue 268 (A268 versus R268). This seemingly small substitution significantly changes cAMP sensitivity, basal kinase activity, and the dynamic behavior of the regulatory domains.
Maximilian Wallbott, Jui‐Hung Weng, Valeria Pane, Yuliang Ma, Jian Wu, Susan S. Taylor, Friedrich W. Herberg   +6 more
wiley   +1 more source