Results 181 to 190 of about 2,746 (252)

Paediatric Acute Generalised and Localised Exanthematous Pustulosis: A Systematic Review

JEADV Clinical Practice, Volume 5, Issue 2, Page 678-681, June 2026.
Miranda K. Branyiczky, Megan Lowe, Eric McMullen, Shireen Dumont, Narachai Julanon, Vincent Piguet, Cathryn Sibbald   +6 more
wiley   +1 more source

A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Coastal regions and river floodplains are particularly vulnerable to the impacts of extreme weather events. Accurate real‐time forecasting of hydrodynamic processes in these areas is essential for infrastructure planning and climate adaptation.
Peter Rivera‐Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Trahan, Jonghyun Lee, Matthew Farthing, Clint Dawson   +9 more
wiley   +1 more source

The Emergence of Turing Instability and Pattern Formation in a Nonlinear Stochastic Spatiotemporal Epidemic Model with Reinfections. [PDF]

Acta Biotheor
Singh AK, Almshekhs R, Kumar M, Ramakrishnan S.   +3 more
europepmc   +1 more source

Can AI‐Based Weather Prediction Models Simulate the Butterfly Effect? The Role of Architecture and Implementation

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Simulations of numerical weather prediction models indicate that the atmosphere possesses an intrinsic limit of predictability. Initial perturbations of tiny amplitude grow quickly in areas of convection and latent heat release, then spread out and move upscale, eventually affecting even the largest planetary scales after about 2 weeks.
T. Selz, G. C. Craig
wiley   +1 more source

A renormalization group analysis of bubble breakup. [PDF]

Sci Rep
Okumura K.
europepmc   +1 more source

Information Flow in Geophysical Systems

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 6, June 2026.
Abstract We present a new framework for analyzing the evolution of information in geophysical systems. Understanding how information, and its counterpart, uncertainty, propagates is central to predictability studies and has significant implications for applications such as forecast uncertainty quantification and risk management. It also offers valuable
P. J. van Leeuwen
wiley   +1 more source

The effect of laser pulse on nonlinear thermoelasticity using an advanced analytical method. [PDF]

Sci Rep
Rabie WB, Ahmed HM, Ismail MF, Al-Ahwal A, Ramadan ME, Abdalla NSE, Ali MH.   +6 more
europepmc   +1 more source

Beyond the next step: A multi‐criteria generative validation framework for step selection functions

Methods in Ecology and Evolution, Volume 17, Issue 6, Page 1754-1767, June 2026.
Abstract Step‐selection functions (SSFs), typically fitted using step‐selection analysis (SSA) or integrated step‐selection analysis (iSSA) are widely used to infer habitat selection and movement kernels from high‐frequency telemetry data, but most standard validation tools focus on one‐step‐ahead prediction and do not guarantee that fitted models ...
Aurélien Nicosia
wiley   +1 more source

Learning Approximate Symbolic Solutions to Burgers' Equation using Symbolic Regression. [PDF]

IFAC Pap OnLine
Cohen BG, Beykal B, Bollas GM.
europepmc   +1 more source

Burn Wound Infections With Staphylococcus aureus: Clinical Characteristics and Risk Factors for Methicillin‐Resistant Strains

International Wound Journal, Volume 23, Issue 6, June 2026.
ABSTRACT This study aimed to systematically delineate the clinical characteristics and identify the key risk factors associated with methicillin‐resistant Staphylococcus aureus (MRSA) infections in burn patients, thereby informing targeted preventive measures and therapeutic strategies.
Xiaolan Hong, Shaobo Zhou, Qinghua Cai, Yuanyuan Cai, Zhaohong Chen, Wanting Zhao, Yongjian Ye, Xubo Dai   +7 more
wiley   +1 more source