Results 221 to 230 of about 538,368 (282)

Per‐Channel Complex B1+$$ {B}_1^{+} $$ Mapping for Parallel Transmit Ultra‐High Field MRI

open access: yesNMR in Biomedicine, Volume 39, Issue 12, December 2026.
Transmit‐field inhomogeneities beset ultra‐high field (UHF) MRI scans using single‐channel transmission or circularly polarised (CP) mode. Parallel transmission mitigates these artefacts but requires accurate subject‐specific per‐channel complex (magnitude and phase) B1+$$ {B}_1^{+} $$ maps. We explain the theory of per‐channel complex B1+$$ {B}_1^{+} $
Ye Yuan   +2 more
wiley   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal   +8 more
wiley   +1 more source

Self‐Assembled Monolayers on Gold Surfaces of Ferrocene‐BODIPY‐Fullerene‐Helical Peptide Conjugates: Studies of Electron Transfer Processes by Ultra‐Fast Electrochemistry

open access: yesJournal of Peptide Science, Volume 32, Issue 12, December 2026.
Three ferrocene‐BODIPY‐C60‐peptides (T1–T3) were synthesized and grafted on gold surfaces to form self‐assembled monolayers. Calculation of the tilt angles and surface density of these SAMs using PM‐IRRAS and ultrafast electrochemical experiments revealed that less vertically oriented and densely packed monolayers were obtained compared with previously
Jad Rabah   +8 more
wiley   +1 more source

Explainable Machine Learning for Predicting Time‐to‐Failure of Horizontal Pressurized Storage Tanks in Fire Scenarios

open access: yesSafety Science and Technology, Volume 1, Issue 4, December 2026.
An interpretable machine learning framework with SHAP analysis achieves accurate time‐to‐failure prediction for horizontal pressurized tanks under pool fires while identifying fire intensity, filling level, and wall thickness as dominant drivers of model explanation and uncertainty explanation, providing transparent and actionable insights for ...
Yubin Mu   +5 more
wiley   +1 more source

Energy Harvesting From Aquatic Animals and Device Attachment Strategies Toward Long‐Term Tracking and Sensing Underwater

open access: yesSmartSys, Volume 2, Issue 4, December 2026.
ABSTRACT The advancement and miniaturization of tracking devices have deepened our understanding of aquatic ecosystems, including how human activities affect underwater animals and their habitats. However, long‐term or life‐cycle monitoring remains a major challenge because conventional animal‐borne devices rely on batteries with limited lifespans.
Hongwoo Jang   +3 more
wiley   +1 more source

De novo design of semisynthetic conduction pores. [PDF]

open access: yesNat Struct Mol Biol
Schnaider L   +13 more
europepmc   +1 more source

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