Results 11 to 20 of about 39 (39)
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
Geoscience Data Journal, Volume 13, Issue 4, October 2026.This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
Riverine Flood Forecasting Using Advanced Deep Learning Approaches
JAWRA Journal of the American Water Resources Association, Volume 62, Issue 5, October 2026.ABSTRACT Accurate riverine flood forecasting is crucial for effective river management. This paper utilized the Time‐Series Dense Encoder (TiDE), Neural Hierarchical Interpolation for Time Series Forecasting (N‐HiTS), and Patch Time Series Transformer (PatchTST) to forecast riverine flood and benchmarked their results against Long Short‐Term Memory ...
Krishna Panthi +2 more
wiley +1 more source
Advanced Functional Materials, Volume 36, Issue 73, 10 September 2026.Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik +8 more
wiley +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.Abstract The surface water and ocean topography (SWOT) satellite mission marks a major advance in observing ocean surface dynamics, providing sea surface height (SSH) measurements at unprecedented spatial resolution. Reconstructing gridded SSH fields from SWOT data requires new algorithms capable of retrieving measured fine‐scale variability, which is ...
V. Bellemin‐Laponnaz +4 more
wiley +1 more source
NORi: An ML‐Augmented Ocean Boundary Layer Parameterization
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.Abstract NORi is a machine learning (ML) parameterization of ocean boundary layer (BL) turbulence that is physics‐based and augmented with neural networks. NORi stands for neural ordinary differential equations Richardson number (Ri) closure. The physical parameterization is controlled by a Richardson number‐dependent diffusivity and viscosity.
Xin Kai Lee +6 more
wiley +1 more source
Space Weather, Volume 24, Issue 9, September 2026.Abstract This paper introduces an updated version of the University of Michigan Geospace model. The Geospace model has been used for operational forecasting at the Space Weather Modeling Center of the National Oceanic and Atmospheric Agency since 2016 with regular updates. The current operational version, Geospace V2, was launched in 2021 and is driven
Gábor Tóth +2 more
wiley +1 more source
Developmental Science, Volume 29, Issue 5, September 2026.ABSTRACT Wearable recorders are used in research and clinical practice to collect and measure children's vocalizations and the language environment in which they occur. Recordings generate vast amounts of audio, making manual analysis impractical and requiring automated processing.
Marvin Lavechin +3 more
wiley +1 more source
Comparative Analysis of Urban Flood Mapping Using Sentinel‐1 SAR Imagery and Machine Learning
Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.ABSTRACT Flood mapping using remote sensing data has the potential to play a crucial role in monitoring and assessing flood events, particularly in urban environments, where complex infrastructure creates significant challenges. While Synthetic Aperture Radar (SAR) has promising potential for flood mapping, current methods struggle in the urban ...
Md Abdullah Al Mehedi +2 more
wiley +1 more source
Physiological Reports, Volume 14, Issue 18, September 2026.Abstract Aging is associated with declines in muscle function, leading to increased functional fatigability. Passive heating has demonstrated positive effects on muscle function during brief exercise in older adults, but the impact of heating on repeated contractions remains unknown.
Desmond Denny +2 more
wiley +1 more source
Some of the next articles are maybe not open access.