Results 131 to 140 of about 1,143,501 (254)

Effect of Carboxymethyl Chitosan and Genipin on the Structural, Water Uptake, and Thermomechanical Properties of Zein‐Based Biodegradable Materials

Journal of Applied Polymer Science, Volume 143, Issue 47, December 15, 2026.
The effects of carboxymethyl chitosan and genipin on zein‐based biodegradable materials have been investigated. The addition of these compounds alters the material's structure, water absorption, and thermomechanical behavior, while genipin enhances mechanical performance through the formation of polymer networks.
Fahimeh Alsadat‐Seyedbokaei, Carlos Bengoechea, Manuel Felix   +2 more
wiley   +1 more source

ArteryX: A Reliable End‐To‐End Toolbox for Standardized Intracranial Artery Feature Extraction From 3D TOF‐MRA

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2914-2924, December 2026.
ABSTRACT Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time‐of‐flight magnetic resonance angiography (TOF‐MRA), yet existing processing pipelines remain limited by inconsistent artery labeling and a high manual correction burden.
Abrar Faiyaz, Nhat Hoang, Giovanni Schifitto, Md Nasir Uddin   +3 more
wiley   +1 more source

The Fractal Geometry of the Nymphalid Groundplan: Self-Similar Configuration of Color Pattern Symmetry Systems in Butterfly Wings. [PDF]

Insects, 2021
Otaki JM.
europepmc   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

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

Reviews 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, Maosheng Yin, Peiyao Dong, Yong Zhang, Kewei Chen, Graham Fogg, Brian Berkowitz, Marco Dentz, Chunmiao Zheng   +8 more
wiley   +1 more source

Applications of Cantor Set to Fractal Geometry

Fractal geometry is a subfield of mathematics that allows us to explain many of the complexities in nature. Considering this remarkable feature of fractal geometry, this study examines the Cantor set, which is one of the most basic examples of fractal ...
KARAÇAY, İPEK EBRU, YÜCE, Salim
core   +1 more source

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

Journal 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, Felipe P. J. de Barros, Sami Masri, Muhammad Sahimi   +3 more
wiley   +1 more source

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

Expert 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, Amanda Pontes de Oliveira Ornelas, Gwanggil Jeon   +2 more
wiley   +1 more source

A Review on Natural Phenomenon of Fractal Geometry

, 2014
Today Fractal geometry is completely new area of research in the field of computer science and engineering. It has wide range of applications. Fractals in nature are so complicated and irregular that it is hopeless to model them by simply using classical
Manesar Gurgaon, Ashish Negi, Ankit Garg, Pauri Garhwal, Akshat Agrawal   +4 more
core  

Temporal Scaling of Hydrological Signals Reveals Forcing Persistence and Watershed Filtering Across the Contiguous U.S.

Geophysical Research Letters, Volume 53, Issue 21, 16 November 2026.
Abstract Streamflow temporal persistence reflects both hydrological inputs and watershed filtering, but their relative contributions remain difficult to distinguish. We analyzed spectral scaling in precipitation, evapotranspiration, effective precipitation, streamflow, and the effective precipitation‐to‐streamflow transfer function across 671 ...
Yunqiu Zhou, Yi Zheng, Yingjie Yang, Xiuyu Liang   +3 more
wiley   +1 more source