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
Spatial Processing Enhancement in the Prefrontal Cortex for Rapid Detection of Valuable Objects. [PDF]
Sharifi K, Abbaszadeh M, Ghazizadeh A.
europepmc +1 more source
Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System
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
Stock price dynamics prediction based on multi-scale fractals and deep learning. [PDF]
Du Y, Tian Y.
europepmc +1 more source
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
Studying Synchronization of Neural Oscillators through NMDA-AMPA Receptor interactions. [PDF]
Mofidi H, Wang Y.
europepmc +1 more source
ConvNeXt‐FD: Fractal Dimension‐Regularized ConvNeXt for Robust Biomedical Image Segmentation
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]
Papantoni A +7 more
europepmc +1 more source
A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data
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
Correction: On escape criterion of an orbit with s-convexity and illustrations of the behavior shifts in Mandelbrot and Julia set fractals. [PDF]
PLOS One Staff.
europepmc +1 more source

