Results 231 to 240 of about 21,194 (299)

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

Gamma radiation-induced mutation breeding for enhanced yield and stress tolerance in grapevine (Vitis vinifera L.). [PDF]

open access: yesBMC Plant Biol
Ud-Din N   +9 more
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Grapevine adaptation to cold and heat stress. [PDF]

open access: yesJ Exp Bot
Guo Y   +4 more
europepmc   +1 more source

BLADE‐ON‐PETIOLE Genes Enable Genetic Bottleneck Mitigation Through Cross‐Species Repurposing of Floral Persistence Traits

open access: yesAdvanced Science, EarlyView.
This study shows that BLADE‐ON‐PETIOLE (BOP) proteins regulate floral abscission and senescence in tomato by interacting with TFAM1 to form transcriptional condensates controlling the ARABIDOPSIS THALIANA HOMEOBOX GENE 1 (ATH1)‐mediated abscission pathway.
Nan Xiao   +7 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

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