Results 171 to 180 of about 411 (241)

Trends and Challenges in Water Governance Systematic Review and Bibliographic Study of Scientific Publications (2018–2025)

World Water Policy, Volume 12, Issue 2, May 2026.
ABSTRACT Water governance has emerged as a critical analytical framework for addressing the complexity of socioecological water systems in contexts of increasing climate vulnerability and anthropogenic pressure. This study presents a systematic review and bibliometric analysis of 50 scientific articles indexed on water governance published between 2018
Roger Pichis‐García, Medali Cueva‐Rodríguez   +1 more
wiley   +1 more source

Application of High‐Order Direct Flux Reconstruction and Stiffness‐Resilient Time Integration to Simulations of Idealized Atmospheric Flows

International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 448-468, April 2026.
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault, Christopher Subich, Shoyon Panday, Martin Charron, Vincent Magnoux, Valentin Dallerit, Mayya Tokman   +6 more
wiley   +1 more source

EVSS‐Based Simulation Techniques for the Viscoelastic Fluids With Pure Polymer Melts Using Three‐Field Approach

International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 492-509, April 2026.
This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley   +1 more source

Data-driven acceleration of photonic simulations. [PDF]

Sci Rep, 2019
Trivedi R, Su L, Lu J, Schubert MF, Vuckovic J.   +4 more
europepmc   +1 more source

Sources of Professional Learning and K‐12 Teachers' Instructional Practices in Promoting Informal Digital Learning of English

Journal of Computer Assisted Learning, Volume 42, Issue 2, April 2026.
ABSTRACT Background Informal digital learning of English (IDLE) contributes significantly to language development, and teachers play an essential role in supporting IDLE, especially in the K‐12 context. Yet, insights into K‐12 teachers' instructional practices in support of IDLE and influencing factors thereof are limited.
Chun Lai, Manfei Xu, Tan Jin, Zhan Shi
wiley   +1 more source

Application and Challenges of Chimeric Antigen Receptor T Cell Therapy in Systemic Rheumatic Diseases and Autoimmune Disorders

MedComm, Volume 7, Issue 4, April 2026.
CAR‐T cell therapy in systemic rheumatic diseases and autoimmune disorders. (This figure was created using BioRender.com.) ABSTRACT Chimeric antigen receptor T (CAR‐T) cell therapy, originally developed for hematologic malignancies, has emerged as a transformative candidate for systemic rheumatic diseases and autoimmune disorders (AIDs).
Zhidan Fan, Li Zhang, Haiguo Yu
wiley   +1 more source

Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2241-2253, April 2026.
ABSTRACT Purpose To develop and evaluate a memory‐efficient and accelerated reconstruction framework for respiratory‐resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high‐quality motion‐compensated low‐rank (MoCo‐LR) reconstructions on clinically accessible GPU hardware.
Joseph W. Plummer, Pierre Daudé, Anastasia Tsakirellis, Jordan Taylor, Joel Moss, Rajiv Ramasawmy, Ahsan Javed, Adrienne E. Campbell‐Washburn   +7 more
wiley   +1 more source

Optimal Preconditioners for Hybrid Direct-Iterative H-Matrix Solvers in Boundary Element Methods

Omid Babazadeh, Emrah Sever, Jin Hu, Ian Jeffrey, Constantine Sideris, Vladimir Okhmatovski   +5 more
openaire   +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