Results 221 to 230 of about 144,122 (300)

Ultra-wideband printed monopole antenna with cardioid-shaped fractal geometry. [PDF]

Sci Rep
Lazović L, Jokanovic B, Rubežić V, Jovanović A.   +3 more
europepmc   +1 more source

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

Fractal and Machine Learning Analyses of MALDI-TOF Mass Spectrometry Data in Glioblastoma. [PDF]

Comput Struct Biotechnol J
Lazari LC, Azemi G, Russo C, Rosa-Fernandes L, Oba-Shinjo SM, Marie SKN, Di Ieva A, Palmisano G.   +7 more
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

Three-dimensional multimodal fractal dynamics integrating spatial metabolism, cytoarchitecture, and perfusion for preoperative prediction of microvascular invasion in colorectal liver metastases. [PDF]

J Transl Med
Guo Z, Guo C, Lu Z, Zou K, Zhang H.
europepmc   +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

Comparative evaluation of fiber and metal posts on mandibular bone microstructure: a fractal dimension analysis. [PDF]

BMC Oral Health
Kızılırmak B, Yılmaz H, Yüksel İB, Güntekin N.   +3 more
europepmc   +1 more source

Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System

Reviews 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, Chris Huntingford, Sergei Petrovskii, Joshua E. Buxton, Helen Millman, Chris A. Boulton, Robert J. Parker, Cristina Ruiz Villena, Andrew M. Cunliffe, Joseph Clarke, Valerio Lucarini, Darren Ghent, Peter M. Cox, Timothy M. Lenton   +13 more
wiley   +1 more source

Universal Genome Strand Parity Across Evolution. [PDF]

Cells
Sbrana I, Musio A, Menconi G.
europepmc   +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