Results 171 to 180 of about 100,994 (269)

Construction and Damage Analysis of a Three‐Factor Collision Model for Potato‐Soil‐Pole

open access: yesFood Science &Nutrition, Volume 14, Issue 4, April 2026.
In this study, the potato‐soil‐pole three‐factor collision model was constructed with the potato‐soil ratio, impact velocity and impact object as the core factors, and a new coupled pole was designed to alleviate the impact damage. The potato‐soil finite element model was constructed by reverse engineering, and the deviation of the traditional ...
Qiang Guo   +4 more
wiley   +1 more source

GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications

open access: yesGeoscience Data Journal, Volume 13, Issue 2, April 2026.
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes   +6 more
wiley   +1 more source

Hybrid CNN-transformer demosaicing for bioinspired single-chip color-near-infrared fluorescence imaging in oncologic surgery. [PDF]

open access: yesJ Biomed Opt
Jin Y   +8 more
europepmc   +1 more source

DASNordicSLR—A Regional Dataset of Sea Level Projections for Northern Europe

open access: yesGeoscience Data Journal, Volume 13, Issue 2, April 2026.
Relative sea level projections for Northern Europe (DASNordicSLR) combine IPCC‐AR6 projections with vertical land motion data from NKG2016LU. The resulting high‐resolution dataset enables a realistic representation of regional sea level change along coastlines, supporting climate services and coastal risk assessments with spatially detailed insights ...
Corinna Jensen   +2 more
wiley   +1 more source

Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model

open access: yesAGU Advances, Volume 7, Issue 2, April 2026.
Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen   +11 more
wiley   +1 more source

Regional Differences in the Direct and Indirect Impacts of China's Urbanization Process on Vegetation

open access: yesEarth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Urbanization profoundly influences urban vegetation dynamics. Variations in development stages lead to differing direct (vegetation loss) and indirect (vegetation growth) impacts across old urban areas, new urban areas, and suburban, with unclear spatiotemporal mechanisms.
Haoyun Shao   +3 more
wiley   +1 more source

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