Results 191 to 200 of about 6,127 (265)

Four Decades of Research at the MADE Site and Beyond: Advancing the Understanding and Modeling of Solute Transport in Heterogeneous Media

open access: yesReviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo   +8 more
wiley   +1 more source

Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System

open access: yesReviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Tipping points in the Earth system have the potential to cause major detrimental impacts to the biosphere and societies. Their inherent nonlinearity implies that even relatively small additional increases in external forcing might result in disproportionately large adjustments to components of the Earth system.
Jesse F. Abrams   +13 more
wiley   +1 more source

Data‐Driven Discovery of Classical and Anomalous Transport Models From Sparse Breakthrough Curves in Heterogeneous Porous Media via Symbolic Regression

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 6, December 2026.
Abstract Natural porous media are highly heterogeneous, with flow and transport controlled by pore‐space morphology and connectivity. Consequently, classical continuum models often fail to describe observed transport under strong heterogeneity. A key challenge is identifying physically interpretable transport models from sparse observational data.
Jinwoo Im   +3 more
wiley   +1 more source

ConvNeXt‐FD: Fractal Dimension‐Regularized ConvNeXt for Robust Biomedical Image Segmentation

open access: yesExpert Systems, Volume 43, Issue 12, December 2026.
ABSTRACT Biomedical image segmentation is a critical task in medical diagnosis and treatment planning, enabling precise delineation of anatomical structures and pathological regions. Despite significant advancements, challenges persist due to the inherent variability, noise and complex morphology present in diverse medical imaging modalities.
Joao Batista Florindo   +2 more
wiley   +1 more source

Sign- vs. goal-tracking is associated with greater adiposity and altered functional connectivity in response to a naturalistic food paradigm. [PDF]

open access: yesPhysiol Behav
Papantoni A   +7 more
europepmc   +1 more source

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

open access: yesJournal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni   +7 more
wiley   +1 more source

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