Results 191 to 200 of about 82,239 (329)

Genome‐wide and gene‐specific DNA methylation across developmental stages in Pogonomyrmex californicus: A socially polymorphic ant

open access: yesInsect Molecular Biology, Volume 35, Issue 3, Page 232-245, June 2026.
Comparison between developmental stages (larvae, pupae, worker) in Pogonomyrmex californicus revealed significant stage‐specific differences in Gene Body Methylated frequencies. Methylation sites were highly correlated between WGBS and ONT in P. californicus Genome‐wide methylation was low (~3%) and highly clustered within gene bodies (GBM), especially
Tania Chavarria‐Pizarro   +4 more
wiley   +1 more source

Pore Size and Wettability Control Dissolution Trapping Regimes of CO2 in Nano Porous Media

open access: yesGeophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract We simulate supercritical carbon dioxide (scCO2 ${\text{scCO}}_{2}$) dissolution in water in nano/submicron pore‐throats (14.3–21.5 nm) using a multi‐component, multiphase pseudopotential lattice Boltzmann model closed by a Peng–Robinson equation of state.
Jiangjiang Wang   +6 more
wiley   +1 more source

FastPCA: An R package for fast singular value decomposition. [PDF]

open access: yesJ Open Source Softw
Ward KR   +5 more
europepmc   +1 more source

VISPec‐DNet: Multi‐Modal Decision Fusion of Hyperspectral and Red–Green–Blue Images for Plastic Waste Detection and Sorting

open access: yesAdvanced Energy and Sustainability Research, Volume 7, Issue 5, May 2026.
A multi‐modal imaging framework combining red–green–blue and hyperspectral near‐infrared data is presented for automated plastic waste sorting. The proposed VISPec‐DNet decision‐level fusion approach improves polymer identification and object detection accuracy across common plastic types.
Nuwan Dewapurage   +5 more
wiley   +1 more source

Transformer‐Based Deep Learning Model for Predicting Recurrence in High‐Grade Glioma

open access: yesCancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Introduction The first year after treatment for high‐grade glioma (HGG) is recognized as the peak interval for recurrence. Accurate prediction of recurrence during this period is critical for timely management and early intervention. This study aimed to develop a fusion model that integrates MRI‐derived features with clinical variables ...
Xin Wang   +4 more
wiley   +1 more source

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